{
    "domain": "messages",
    "locale_data": {
        "messages": {
            "1": [
                ""
            ],
            "": {
                "domain": "messages",
                "plural_forms": "nplurals=3; plural=(n==1) ? 0 : (n>=2 && n<=4) ? 1 : 2;",
                "lang": "cs"
            },
            "'{col}' contains infinite values": [
                "'{col}' obsahuje nekonečné množství hodnot"
            ],
            "'{col}' contains missing values": [
                "'{col}' obsahuje chybějící hodnoty"
            ],
            "'{col}' contains only missing values": [
                "'{col}' obsahuje pouze chybějící hodnoty"
            ],
            "'{col}' contains only one unique value": [
                "'{col}' obsahuje pouze jednu jedinečnou hodnotu"
            ],
            "'{method}' extraction method was used in combination with a '{rotation}' rotation": [
                "Metoda extrakce '{method}' byla použita v kombinaci s rotací '{rotation}'"
            ],
            "'{rotation}' rotation was used": [
                "Byla použita rotace '{rotation}'"
            ],
            "'{var}' contains negative values. Negative weights are not permitted.": [
                "'{var}' obsahuje záporné hodnoty. Záporné váhy nejsou povoleny."
            ],
            "{} - Kendall's Tau B": [
                "{} - Kendall's Tau B"
            ],
            "{} - Pearson's r": [
                "{} - Pearsonův r"
            ],
            "{} - Spearman's rho": [
                "{} - Spearmanův rho"
            ],
            "{ciWidth}% CI Lower": [
                "{ciWidth} % CI Nižší"
            ],
            "{ciWidth}% CI mean {title}": [
                "{ciŠířka} % CI střední hodnota {titul}"
            ],
            "{ciWidth}% CI Upper": [
                "{ciŠířka} % CI horní"
            ],
            "{ciWidth}% Confidence Interval": [
                "{ciŠířka}% interval spolehlivosti"
            ],
            "{ciWidth}% Confidence Intervals": [
                "{ciŠířka}% intervaly spolehlivosti"
            ],
            "{item1} and {item2}": [
                "{item1} a {item2}"
            ],
            "{list}, {nextItem}": [
                "{Seznam}, {další položka}"
            ],
            "{list}, and {lastItem}": [
                "{seznam}, a {poslední položka}"
            ],
            "{n} pair(s) of values were tied": [
                "{n} párů hodnot bylo nerozhodných"
            ],
            "{type} score based on the variables {vars}": [
                "skóre {typu} na základě proměnných {vars}"
            ],
            "{varName} (reversed)": [
                "{varName} (obráceno)"
            ],
            "{varType} of binomial logistic regression model{modelNo}": [
                "{varType} binomického logistického regresního modelu{modelNo}"
            ],
            "{varType} of linear regression model{modelNo}": [
                "{varType} lineárního regresního modelu{modelNo}"
            ],
            "* p < .05, ** p < .01, *** p < .001, one-tailed": [
                "* p < .05, ** p < .01, *** p < .001, jednostranné"
            ],
            "%": [
                "%"
            ],
            "% Correct": [
                "% Správně"
            ],
            "% of Total": [
                "% z celkového počtu"
            ],
            "% of total": [
                "% z celkového počtu"
            ],
            "% of Variance": [
                "% odchylky"
            ],
            "% within column": [
                "% ve sloupci"
            ],
            "% within row": [
                "% v řádku"
            ],
            "`ANCOVA - ${dep}`": [
                "`ANCOVA - ${dep}`"
            ],
            "`ANOVA - ${dep}`": [
                "`ANOVA - ${dep}`"
            ],
            "`Model Coefficients - ${ dep }`": [
                "`Modelové koeficienty - ${ dep }`"
            ],
            "`Model Coefficients - ${dep}`": [
                "`Modelové koeficienty - ${dep}`"
            ],
            "`Proportions - ${var}`": [
                "`Proporce - ${var}`"
            ],
            "±%": [
                ""
            ],
            "< Test value": [
                ""
            ],
            "≠ Test value": [
                ""
            ],
            "> Test value": [
                ""
            ],
            "⁻ mean - 1SD, <sup>μ</sup> mean, ⁺ mean + 1SD": [
                ""
            ],
            "1 - Specificity": [
                ""
            ],
            "2 Outcomes": [
                ""
            ],
            "25,50,75": [
                ""
            ],
            "a (semi)partial correlation matrix table": [
                ""
            ],
            "a correlation matrix plot": [
                "graf korelační matice"
            ],
            "a correlation matrix table": [
                "tabulka korelační matice"
            ],
            "a descriptives plot": [
                "popisný graf"
            ],
            "A low p-value suggests a violation of the assumption of equal variances": [
                "Nízká p-hodnota naznačuje porušení předpokladu rovnosti rozptylů"
            ],
            "A low p-value suggests a violation of the assumption of normality": [
                "Nízká p-hodnota naznačuje porušení předpokladu normality"
            ],
            "A nice correlation data set": [
                "Přehledný soubor korelačních dat"
            ],
            "a parameter": [
                "parametr"
            ],
            "a post-hoc table": [
                "post-hoc tabulka"
            ],
            "a proportions table": [
                "tabulka poměrů"
            ],
            "a q-q plot": [
                "q-q graf"
            ],
            "A repeated measures ANOVA data set": [
                "Datový soubor ANOVA s opakovanými měřeními"
            ],
            "a summary of the groups": [
                "přehled skupin"
            ],
            "a table containing estimated marginal means": [
                "tabulka obsahující odhadované mezní hodnoty"
            ],
            "a table containing factor covariances estimates": [
                "tabulka obsahující odhady kovariancí faktorů"
            ],
            "a table containing factor intercept estimates": [
                "tabulka obsahující odhady interceptu faktorů"
            ],
            "a table containing fit measures": [
                "tabulka obsahující míry vhodnosti"
            ],
            "a table containing modification indices for the factor loadings not included in the model": [
                "tabulka obsahující modifikační indexy pro faktorové zátěže, které nejsou zahrnuty do modelu"
            ],
            "a table containing modification indices for the residual covariances not included in the model": [
                "tabulka obsahující modifikační indexy pro reziduální kovariance, které nejsou zahrnuty v modelu"
            ],
            "a table containing residual covariances estimates": [
                "tabulka obsahující odhady reziduálních kovariancí"
            ],
            "a table containing residual intercept estimates": [
                "tabulka obsahující odhady reziduálních interceptů"
            ],
            "a table containing residuals for the observed correlation matrix": [
                "tabulka obsahující rezidua pro pozorovanou korelační matici"
            ],
            "a table containing the chi-square test for exact fit": [
                "tabulka obsahující chí-kvadrát test přesné shody"
            ],
            "a table containing the collinearity statistics": [
                "tabulka obsahující statistiky kolinearity"
            ],
            "a table containing the descriptives": [
                "tabulka obsahující popisné údaje"
            ],
            "a table containing the factor loadings": [
                "tabulka obsahující faktorové zátěže"
            ],
            "a table containing the group descriptives": [
                "tabulka obsahující popisné údaje skupiny"
            ],
            "a table containing the homogeneity of variances tests": [
                "tabulka obsahující testy homogenity rozptylů"
            ],
            "a table containing the normality test results": [
                "tabulka obsahující výsledky testu normality"
            ],
            "a table containing the normality tests": [
                "tabulka obsahující testy normality"
            ],
            "a table containing the results from the Box-Tidwell test": [
                "tabulku obsahující výsledky Box-Tidwellova testu"
            ],
            "a table containing the t-test results": [
                "tabulka obsahující výsledky t-testu"
            ],
            "a table of ANCOVA results": [
                "tabulka výsledků ANCOVA"
            ],
            "a table of ANOVA results": [
                "tabulka výsledků ANOVA"
            ],
            "a table of comparative measures": [
                "tabulka srovnávacích opatření"
            ],
            "a table of homogeneity of variances tests": [
                "tabulka testů homogenity rozptylů"
            ],
            "a table of homogeneity tests": [
                "tabulka testů homogenity"
            ],
            "a table of likelihood ratio tests": [
                "tabulka testů poměru pravděpodobnosti"
            ],
            "a table of model coefficient thresholds": [
                "tabulka prahových hodnot koeficientů modelu"
            ],
            "a table of model coefficients": [
                "tabulka koeficientů modelu"
            ],
            "a table of normality tests": [
                "tabulka testů normality"
            ],
            "a table of post-hoc residuals": [
                ""
            ],
            "a table of predicted classifications": [
                "tabulka předpokládaných klasifikací"
            ],
            "a table of predictive measures": [
                "tabulka prediktivních měr"
            ],
            "a table of proportions": [
                "tabulka poměrů"
            ],
            "a table of test results": [
                "tabulka výsledků testů"
            ],
            "a table of the 'nominal' test results": [
                "tabulka \"nominálních\" výsledků testů"
            ],
            "a table of the descriptive statistics": [
                "tabulka popisných statistik"
            ],
            "a table of the Friedman test results": [
                "tabulka výsledků Friedmanova testu"
            ],
            "a table of the gamma test results": [
                "tabulka výsledků testu gama"
            ],
            "a table of the Kendall's tau-b test results": [
                "tabulka výsledků Kendallova tau-b testu"
            ],
            "a table of the Mantel-Haenszel test for trend": [
                "tabulka Mantelova-Haenszelova testu pro trend"
            ],
            "a table of the pairwise comparisons": [
                "tabulka párových porovnání"
            ],
            "a table of the proportions": [
                "tabulka poměrů"
            ],
            "a table of the proportions and test results": [
                "tabulka poměrů a výsledků testů"
            ],
            "a table of the test results": [
                "tabulku výsledků testů"
            ],
            "a table of χ² test results": [
                "tabulka výsledků χ² testu"
            ],
            "Accuracy": [
                "Přesnost"
            ],
            "Add New Block": [
                "Přidat nový blok"
            ],
            "Add New Factor": [
                "Přidat nový faktor"
            ],
            "Add New Term": [
                "Přidat nový výraz"
            ],
            "Additional Options": [
                "Další možnosti"
            ],
            "Additional Output": [
                "Další výstupy"
            ],
            "Additional Statistics": [
                "Další statistiky"
            ],
            "Adjusted R²": [
                "Upravená hodnota R²"
            ],
            "AIC": [
                "AIC"
            ],
            "All observations are tied": [
                "Všechna pozorování jsou vázána"
            ],
            "Alternative hypothesis": [
                "Alternativní hypotéza"
            ],
            "an array of contrasts tables": [
                "řada tabulek kontrastů"
            ],
            "an array of descriptive plots": [
                "řada popisných grafů"
            ],
            "an array of extreme values tables": [
                "pole tabulek extrémních hodnot"
            ],
            "an array of frequency tables": [
                "řada tabulek četností"
            ],
            "an array of groups of plots": [
                "řada skupin dílů"
            ],
            "an array of model specific results": [
                "řada výsledků specifických pro daný model"
            ],
            "an array of pairwise comparison tables": [
                "soubor tabulek párového porovnávání"
            ],
            "an array of post-hoc tables": [
                "řada tabulek post-hoc"
            ],
            "an array of Q-Q plots": [
                "soustava Q-Q grafů"
            ],
            "an array of the descriptive plots": [
                "tabulka popisných grafů"
            ],
            "an array of the estimated marginal means plots + tables": [
                "soustava grafů odhadovaných mezních průměrů + tabulky"
            ],
            "an array of the posterior plots": [
                "tabulka posteriorních grafů"
            ],
            "an image containing the model path diagram": [
                "obrázek obsahující diagram cesty modelu"
            ],
            "an image of the descriptive plots": [
                "zobrazení popisných ploch"
            ],
            "An uninspiring ANOVA data set": [
                "Neinspirativní soubor dat ANOVA"
            ],
            "Analyses bundled with jamovi": [
                "Analýzy svázané s jamovi"
            ],
            "ANCOVA": [
                "ANCOVA"
            ],
            "Anderson & Rubin": [
                "Anderson & Rubin"
            ],
            "Anderson's Iris Data": [
                "Údaje o Andersonově duhovce"
            ],
            "ANOVA": [
                "ANOVA"
            ],
            "ANOVA test": [
                "Test ANOVA"
            ],
            "As there are no between subjects factors specified this assumption is always met.": [
                "Protože nejsou specifikovány žádné mezipředmětové faktory, je tento předpoklad vždy splněn."
            ],
            "Assume equal (Fisher's)": [
                "Předpokládejme rovnost (Fisherova)"
            ],
            "Assumption Checks": [
                "Kontrola předpokladů"
            ],
            "Assumptions": [
                "Předpoklady"
            ],
            "At least one variable must have two levels": [
                "Alespoň jedna proměnná musí mít dvě úrovně"
            ],
            "AUC": [
                "Plocha pod křivkou"
            ],
            "Autocorrelation": [
                "Autokorelace"
            ],
            "Autocorrelation test": [
                "Test autokorelace"
            ],
            "Available for 2x2 tables only": [
                "K dispozici pouze pro tabulky 2x2"
            ],
            "b parameter": [
                "b parametr"
            ],
            "Bar Plot": [
                "Pruhový graf"
            ],
            "Bar plot": [
                "Sloupcový graf"
            ],
            "Bar Plots": [
                "Dělicí čáry"
            ],
            "Bar Type": [
                "Typ sloupce"
            ],
            "Bartlett": [
                "Bartlett"
            ],
            "Bartlett's Test of Sphericity": [
                "Bartlettův test sféricity"
            ],
            "Bartlett's test of sphericity": [
                "Bartlettův test sféricity"
            ],
            "Based on eigenvalue": [
                "Na základě vlastních čísel"
            ],
            "Based on parallel analysis": [
                "Na základě paralelní analýzy"
            ],
            "Bayes factor": [
                "Bayesův koeficient"
            ],
            "Bayes factor₁₀": [
                "Bayesův koeficient₁₀"
            ],
            "Bayesian Statistics": [
                "Bayesovská statistika"
            ],
            "beta 'a' parameter": [
                "parametr beta 'a'"
            ],
            "beta 'b' parameter": [
                "parametr beta 'b'"
            ],
            "Between Subject Factors": [
                "Mezioborové faktory"
            ],
            "Between Subjects Components": [
                "Složky mezi subjekty"
            ],
            "Between Subjects Effects": [
                "Účinky mezi subjekty"
            ],
            "BIC": [
                "BIC"
            ],
            "Big 5 (Dolan, Oort, Stoel & Wicherts, 2009)": [
                "Velká pětka (Dolan, Oort, Stoel & Wicherts, 2009)"
            ],
            "Binomial": [
                "Binomiální"
            ],
            "Binomial Logistic Regression": [
                "Binomická logistická regrese"
            ],
            "Binomial Test": [
                "Binomický test"
            ],
            "Binomial test": [
                "Binomický test"
            ],
            "Block {0}": [
                "Blok {0}"
            ],
            "Block 1": [
                "Blok 1"
            ],
            "Blocks": [
                "Bloky"
            ],
            "Bonferroni": [
                "Bonferroni"
            ],
            "Box plot": [
                "Krabicový graf"
            ],
            "Box Plots": [
                "Krabicové plochy"
            ],
            "Box-Tidwell test": [
                "Box-Tidwellův test"
            ],
            "Box-Tidwell Test for Linearity of the Logit": [
                "Box-Tidwellův test pro linearitu logitu"
            ],
            "Box's Homogeneity of Covariance Matrices Test": [
                "Boxův test homogenity kovariančních matic"
            ],
            "Box's M test": [
                "Boxův M test"
            ],
            "Box's M test for homogeneity of covariance matrices": [
                "Boxův M test homogenity kovariančních matic"
            ],
            "Bugs (Ryan, Wilde & Crist, 2013)": [
                "Brouci (Ryan, Wilde & Crist, 2013)"
            ],
            "Cells": [
                "Buňky"
            ],
            "Central Tendency": [
                "Střední tendence"
            ],
            "CFI": [
                ""
            ],
            "Chi-Square Quantiles": [
                "Kvantily chí-kvadrátu"
            ],
            "CI Lower": [
                ""
            ],
            "CI Upper": [
                ""
            ],
            "Classification Table": [
                "Klasifikační tabulka"
            ],
            "Classification table": [
                "Klasifikační tabulka"
            ],
            "Classification Table – {dep}": [
                "Klasifikační tabulka - {dep}"
            ],
            "Cohen's d": [
                "Cohenova d"
            ],
            "Collinearity Statistics": [
                ""
            ],
            "Collinearity statistics": [
                ""
            ],
            "Column": [
                ""
            ],
            "Column variable '{var}' contains fewer than 2 levels": [
                ""
            ],
            "Columns": [
                ""
            ],
            "columns": [
                ""
            ],
            "Columns compared": [
                "Porovnávané sloupce"
            ],
            "Comparative Measures": [
                "Srovnávací měřítka"
            ],
            "Comparative Measures (2x2 only)": [
                "Srovnávací měřítka (pouze 2x2)"
            ],
            "Compare": [
                "Porovnat"
            ],
            "Comparison": [
                "Porovnání"
            ],
            "Comparisons are based on estimated marginal means": [
                "Srovnání jsou založena na odhadovaných mezních průměrech"
            ],
            "Component": [
                ""
            ],
            "Component correlations": [
                ""
            ],
            "Component Loadings": [
                ""
            ],
            "Component scores": [
                ""
            ],
            "Component Statistics": [
                ""
            ],
            "Component summary": [
                ""
            ],
            "component(s)": [
                "komponent(y)"
            ],
            "Components": [
                ""
            ],
            "components": [
                ""
            ],
            "Confidence Interval": [
                ""
            ],
            "Confidence interval": [
                ""
            ],
            "Confidence interval for Mean": [
                ""
            ],
            "Confidence interval width": [
                ""
            ],
            "Confidence Intervals": [
                ""
            ],
            "Confidence intervals": [
                ""
            ],
            "Confidence level": [
                ""
            ],
            "Confirmatory Factor Analysis": [
                ""
            ],
            "Constraints": [
                ""
            ],
            "Contingency coefficient": [
                ""
            ],
            "Contingency Tables": [
                ""
            ],
            "Contrasts": [
                ""
            ],
            "Contrasts - $key": [
                ""
            ],
            "Control Variables": [
                ""
            ],
            "Control variables": [
                ""
            ],
            "controlling for {items}": [
                ""
            ],
            "Cook's Distance": [
                ""
            ],
            "Cook's distance": [
                ""
            ],
            "Correction": [
                ""
            ],
            "Corrections": [
                ""
            ],
            "Correlated": [
                ""
            ],
            "Correlated negatively": [
                ""
            ],
            "Correlated positively": [
                ""
            ],
            "Correlation": [
                ""
            ],
            "Correlation Coefficients": [
                ""
            ],
            "Correlation Heatmap": [
                ""
            ],
            "Correlation heatmap": [
                ""
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.": [
                "Korelační matice představují způsob, jak zkoumat lineární vztahy mezi dvou nebo více kontinuálních proměnných."
            ],
            "Correlation matrices are a way to examine linear relationships between\ntwo or more continuous variables.\n\nFor each pair of variables, a Pearson's r value indicates the strength\nand direction of the relationship between those two variables. A\npositive value indicates a positive relationship (higher values of one\nvariable predict higher values of the other variable). A negative\nPearson's r indicates a negative relationship (higher values of one\nvariable predict lower values of the other variable, and vice-versa).\nA value of zero indicates no relationship (whether a variable is high\nor low, does not tell us anything about the value of the other\nvariable).\n\nMore formally, it is possible to test the null hypothesis that the\ncorrelation is zero and calculate a p-value. If the p-value is low, it\nsuggests the correlation co-efficient is not zero, and there is a linear\n(or more complex) relationship between the two variables.": [
                ""
            ],
            "Correlation Matrix": [
                "Korelační matice"
            ],
            "Correlation matrix": [
                "Korelační matice"
            ],
            "Correlation Type": [
                "Typ korelace"
            ],
            "Correlation type": [
                "Typ korelace"
            ],
            "Count": [
                ""
            ],
            "Counts": [
                "Počítání"
            ],
            "Counts (optional)": [
                "Počty (volitelné)"
            ],
            "Counts may not be infinite": [
                "Počty nemusí být nekonečné"
            ],
            "Counts may not be negative": [
                "Počty nesmí být záporné"
            ],
            "Counts must be non-negative and finite": [
                "Počty musí být nezáporné a konečné"
            ],
            "Covariates": [
                "Kovariáty"
            ],
            "Cox & Snell's R²": [
                "Coxovo a Snellovo R²"
            ],
            "Cramer's V": [
                "Cramerovo V"
            ],
            "Credible Interval": [
                ""
            ],
            "Credible intervals": [
                ""
            ],
            "Cronbach's α": [
                "Cronbachovo α"
            ],
            "Cronbach's α (if item is dropped)": [
                "Cronbachovo α (pokud je položka vypuštěna)"
            ],
            "cubic": [
                "kubické"
            ],
            "Cumulative %": [
                "Kumulativní %"
            ],
            "Cut point values": [
                ""
            ],
            "Cut points for": [
                ""
            ],
            "Cut-Off": [
                ""
            ],
            "Cut-Off Plot": [
                ""
            ],
            "Cut-off plot": [
                ""
            ],
            "Cut-off value": [
                ""
            ],
            "Data": [
                "Data"
            ],
            "Data Reduction": [
                "Redukce dat"
            ],
            "Data set is currently unweighted": [
                ""
            ],
            "Data Summary": [
                "Souhrn dat"
            ],
            "Densities for variables": [
                "Hustoty proměnných"
            ],
            "Density": [
                "Hustota"
            ],
            "Dependent": [
                "Závislý"
            ],
            "Dependent Variable": [
                "Závislá proměnná"
            ],
            "Dependent variable '{dep}' contains infinite values": [
                "Závislá proměnná '{dep}' obsahuje nekonečné hodnoty"
            ],
            "Dependent variable '{dep}' contains no data (after removing rows with missing values)": [
                "Závislá proměnná \"{dep}\" neobsahuje žádné údaje (po odstranění řádků s chybějícími hodnotami)"
            ],
            "Dependent variable '{dep}' contains only one unique value (after removing rows with missing values)": [
                "Závislá proměnná \"{dep}\" obsahuje pouze jednu jedinečnou hodnotu (po odstranění řádků s chybějícími hodnotami)"
            ],
            "Dependent variable '{dep}' must be continuous": [
                "Závislá proměnná \"{dep}\" musí být kontinuální"
            ],
            "Dependent Variable Label": [
                "Označení závislé proměnné"
            ],
            "Dependent Variables": [
                "Závislé proměnné"
            ],
            "Dependent variables are very highly correlated": [
                "Závislé proměnné jsou velmi vysoce korelované"
            ],
            "deprecated": [
                "zastaralý"
            ],
            "Descriptive Plot": [
                ""
            ],
            "Descriptive plot": [
                ""
            ],
            "Descriptives": [
                "Popisy"
            ],
            "Descriptives are an assortment of summarising statistics, and visualizations which allow exploring the shape and distribution of data. It is good practice to explore your data with descriptives before proceeding to more formal tests.": [
                "Deskriptivy jsou souborem shrnujících statistik a vizualizací, které umožňují zkoumat tvar a rozložení dat. Je dobrým zvykem prozkoumat data pomocí deskriptivních ukazatelů dříve, než přistoupíte k formálnějším testům."
            ],
            "descriptives plot": [
                ""
            ],
            "Descriptives Plots": [
                ""
            ],
            "Descriptives plots": [
                ""
            ],
            "Descriptives Table": [
                ""
            ],
            "Descriptives table": [
                ""
            ],
            "Deviance": [
                "Odchylka"
            ],
            "Deviance residuals": [
                ""
            ],
            "Deviance residuals (Poisson GLM)": [
                ""
            ],
            "Deviance residuals are adjusted residuals from a Poisson GLM.": [
                ""
            ],
            "Deviation": [
                "Odchýlení"
            ],
            "df": [
                "df"
            ],
            "df1": [
                "df1"
            ],
            "df2": [
                "df2"
            ],
            "Difference": [
                "Rozdíl"
            ],
            "Difference in 2 proportions": [
                "Rozdíl ve 2 poměrech"
            ],
            "Difference in proportions": [
                "Rozdíl v poměrech"
            ],
            "Dispersion": [
                "Variabilita"
            ],
            "Distribution": [
                ""
            ],
            "Does not support weighted data yet.": [
                ""
            ],
            "Don't assume equal (Welch's)": [
                "Nepředpokládejte rovnost (Welch's)"
            ],
            "drag variable here": [
                "přetáhněte proměnnou sem"
            ],
            "drag variables here": [
                "přetáhněte proměnné sem"
            ],
            "DSCF pairwise comparisons": [
                "DSCF párové porovnání"
            ],
            "Dunn's pairwise comparisons": [
                ""
            ],
            "Durbin–Watson Test for Autocorrelation": [
                "Durbin-Watsonův test autokorelace"
            ],
            "DW Statistic": [
                "DW statistika"
            ],
            "Dwass-Steel-Critchlow-Fligner pairwise comparisons": [
                "Párová srovnání Dwass-Steel-Critchlow-Fligner"
            ],
            "Effect Size": [
                ""
            ],
            "Effect size": [
                ""
            ],
            "Eigenvalue": [
                "Vlastní číslo"
            ],
            "Eigenvalues": [
                "Vlastní čísla"
            ],
            "Eigenvalues greater than": [
                "Vlastní čísla větší než"
            ],
            "Empty cells in between subject design: at least one combination of between subject factor levels has 0 observations": [
                "Prázdné buňky v mezipředmětovém uspořádání: alespoň jedna kombinace úrovní mezipředmětových faktorů má 0 pozorování"
            ],
            "Equal cell weights": [
                "Stejné váhy buněk"
            ],
            "equal groups": [
                "rovnocenné skupiny"
            ],
            "error %": [
                "chyba %"
            ],
            "Error bars": [
                "Chybové sloupce"
            ],
            "Estimate": [
                "Odhad"
            ],
            "Estimate (Log Odds Ratio)": [
                "Odhad (logaritmický poměr šancí)"
            ],
            "Estimate (Log Rate Ratio)": [
                "Odhad (logaritmický poměr)"
            ],
            "Estimated Marginal Means": [
                "Odhadované mezní průměry"
            ],
            "Estimated Marginal Means - {term}": [
                "Odhadované mezní průměry - {term}"
            ],
            "Estimates": [
                "Odhady"
            ],
            "Estimates represent the log odds of …": [
                "Odhady představují logaritmické pravděpodobnosti …"
            ],
            "Estimates represent the log odds of \"{dep} = {level1}\" vs. \"{dep} = {level2}\"": [
                "Odhady představují logaritmické pravděpodobnosti \"{dep} = {level1}\" vs. \"{dep} = {level2}\""
            ],
            "Estimation method": [
                "Metoda odhadu"
            ],
            "Exclude cases analysis by analysis": [
                "Vyloučit případy analýzy podle analýzy"
            ],
            "Exclude cases listwise": [
                "Vyloučení případů podle seznamu"
            ],
            "Excluded": [
                "Vyloučeno"
            ],
            "Expected": [
                "Očekávaný"
            ],
            "Expected counts": [
                "Předpokládané počty"
            ],
            "Expected Proportions": [
                "Předpokládané podíly"
            ],
            "Exploration": [
                "Explorace"
            ],
            "Exploratory Factor Analysis": [
                "Průzkumná faktorová analýza"
            ],
            "Extraction": [
                "Extrakce"
            ],
            "Extreme values": [
                "Extrémní hodnoty"
            ],
            "Extreme Values": [
                "Extrémní hodnoty"
            ],
            "Extreme values of $key": [
                "Extrémní hodnoty $key"
            ],
            "F": [
                "F"
            ],
            "F test": [
                "F test"
            ],
            "F-statistic could not be calculated": [
                "F-statistiku nebylo možné vypočítat"
            ],
            "Factor": [
                "Faktor"
            ],
            "Factor '{factor}' has less than two levels. Factors must have at least two levels": [
                "Faktor \"{faktor}\" má méně než dvě úrovně. Faktory musí mít alespoň dvě úrovně"
            ],
            "Factor '{factor}' needs to have at least 2 levels": [
                "Faktor \"{factor}\" musí mít alespoň 2 úrovně"
            ],
            "Factor '{factorName}' contains no data (after removing rows with missing values)": [
                "Faktor '{factorName}' neobsahuje žádná data (po odstranění řádků s chybějícími hodnotami)"
            ],
            "Factor '{factorName}' contains only a single level (after removing rows with missing values)": [
                "Faktor \"{factorName}\" obsahuje pouze jednu úroveň (po odstranění řádků s chybějícími hodnotami)"
            ],
            "Factor '{factorName}' contains unused levels (after removing rows with missing values)": [
                "Faktor \"{factorName}\" obsahuje nepoužité úrovně (po odstranění řádků s chybějícími hodnotami)"
            ],
            "Factor {0}": [
                "Faktor {0}"
            ],
            "Factor 1": [
                "Faktor 1"
            ],
            "Factor correlations": [
                "Korelace faktorů"
            ],
            "Factor Covariances": [
                "Kovariance faktorů"
            ],
            "Factor covariances": [
                "Kovariance faktorů"
            ],
            "Factor Estimates": [
                "Odhady faktorů"
            ],
            "Factor Intercepts": [
                "Faktorové intercepty"
            ],
            "Factor intercepts": [
                "Faktorové intercepty"
            ],
            "Factor Loadings": [
                "Zatížení faktorů"
            ],
            "Factor Loadings – Modification Indices": [
                ""
            ],
            "Factor scores": [
                ""
            ],
            "Factor Statistics": [
                ""
            ],
            "Factor summary": [
                ""
            ],
            "Factor variances = 1": [
                ""
            ],
            "factor(s)": [
                "faktor(y)"
            ],
            "Factors": [
                "Faktory"
            ],
            "factors": [
                "faktory"
            ],
            "Fisher's": [
                "Fisherův"
            ],
            "Fisher's exact test": [
                "Fisherův exaktní test"
            ],
            "Fit Measures": [
                ""
            ],
            "Fitted": [
                ""
            ],
            "Fixed Factors": [
                ""
            ],
            "Fixed number": [
                ""
            ],
            "fixed parameter": [
                "fixní parametr"
            ],
            "Flag significant comparisons": [
                "Označení významných srovnání"
            ],
            "Flag significant correlations": [
                "Označení významných korelací"
            ],
            "flag significant correlations (p < .05) with symbols.": [
                ""
            ],
            "flag significant post-hoc comparisons.": [
                "označit významné post-hoc srovnání."
            ],
            "Frequencies": [
                "Frekvence"
            ],
            "Frequencies of $key": [
                "Frekvence $key"
            ],
            "Frequency tables": [
                "Tabulky četností"
            ],
            "Friedman": [
                "Friedman"
            ],
            "Full information maximum likelihood": [
                ""
            ],
            "Games-Howell (unequal variances)": [
                ""
            ],
            "Games-Howell Post-Hoc Test – {dep}": [
                "Games-Howellův post-Hoc test - {dep}"
            ],
            "Gamma": [
                "Gamma"
            ],
            "General Options": [
                "Obecné možnosti"
            ],
            "Generalised η²": [
                "Zobecněné η²"
            ],
            "Grand mean (simple coding)": [
                ""
            ],
            "Greenhouse-Geisser": [
                "Greenhouse-Geisser"
            ],
            "Greenhouse-Geisser ε": [
                "Greenhouse-Geisser ε"
            ],
            "Group": [
                "Skupina"
            ],
            "Group 1": [
                "Skupina 1"
            ],
            "Group 1 < Group 2": [
                "Skupina 1 < Skupina 2"
            ],
            "Group 1 ≠ Group 2": [
                "Skupina 1 ≠ Skupina 2"
            ],
            "Group 1 > Group 2": [
                "Skupina 1 > Skupina 2"
            ],
            "Group 2": [
                "Skupina 2"
            ],
            "Group Descriptives": [
                ""
            ],
            "Group Summary": [
                ""
            ],
            "Group summary": [
                "Souhrn skupiny"
            ],
            "Grouping Variable": [
                "Seskupení proměnných"
            ],
            "Grouping variable '{a}' has less than 2 levels after missing values are excluded": [
                "Seskupení proměnných \"{a}\" má po vyloučení chybějících hodnot méně než 2 úrovně"
            ],
            "Grouping variable '{a}' must have exactly 2 levels": [
                ""
            ],
            "Grouping variable '{a}' must not also be a dependent variable": [
                ""
            ],
            "Hₐ is negative correlation": [
                "Hₐ je záporná korelace"
            ],
            "Hₐ is positive correlation": [
                "Hₐ je kladná korelace"
            ],
            "Hₐ is proportion {direction} {testValue}": [
                "Hₐ je poměr {směr} {hodnota testu}"
            ],
            "Haldane-Anscombe correction applied": [
                ""
            ],
            "Harman": [
                "Harman"
            ],
            "Helmert": [
                "Helmert"
            ],
            "hidden": [
                ""
            ],
            "Hide loadings below": [
                ""
            ],
            "Highlight values above": [
                "Zvýrazněte výše uvedené hodnoty"
            ],
            "Histogram": [
                "Histogram"
            ],
            "Histograms": [
                "Histogramy"
            ],
            "Holm": [
                "Holm"
            ],
            "Homogeneity of Variances Test (Levene's)": [
                "Test homogenity rozptylů (Leveneův)"
            ],
            "Homogeneity test": [
                "Test homogenity"
            ],
            "Hotelling's Trace": [
                ""
            ],
            "Huynh-Feldt": [
                "Huynh-Feldt"
            ],
            "Huynh-Feldt ε": [
                "Huynh-Feldtová ε"
            ],
            "Hypothesis": [
                "Hypotéza"
            ],
            "If item dropped": [
                "Pokud položka spadne"
            ],
            "include a summary of the groups": [
                "zahrnout přehled skupin"
            ],
            "Independent Samples": [
                "Nezávislé výběry"
            ],
            "Independent Samples T-Test": [
                "T-test pro nezávislé výběry"
            ],
            "Indicator": [
                "Indikátor"
            ],
            "Initial Eigenvalues": [
                "Počáteční vlastní čísla"
            ],
            "Initial eigenvalues": [
                "Počáteční vlastní čísla"
            ],
            "Inter-Component Correlations": [
                "Korelace mezi složkami"
            ],
            "Inter-Factor Correlations": [
                "Korelace mezi faktory"
            ],
            "Intercept": [
                ""
            ],
            "Interval": [
                "Interval"
            ],
            "IQR": [
                ""
            ],
            "It appears that your model has a \\": [
                ""
            ],
            "Item '{item}' consists of one level only": [
                "Položka '{item}' se skládá pouze z jedné úrovně"
            ],
            "Item '{item}' contains infinite values": [
                "Položka '{item}' obsahuje nekonečně mnoho hodnot"
            ],
            "Item '{item}' contains only missing values": [
                "Položka '{item}' obsahuje pouze chybějící hodnoty"
            ],
            "Item '{item}' has no variance": [
                "Položka '{item}' nemá žádnou odchylku"
            ],
            "Item '{item}' needs to be numeric": [
                "Položka '{item}' musí být číselná"
            ],
            "item {item} correlates negatively with the total scale and probably should be reversed": [
                "položka {item} negativně koreluje s celkovou škálou a pravděpodobně by měla být obrácena"
            ],
            "Item Reliability Statistics": [
                "Statistiky spolehlivosti položek"
            ],
            "Item Statistics": [
                "Statistiky položek"
            ],
            "Item-rest correlation": [
                ""
            ],
            "Items": [
                "Položky"
            ],
            "items {items} correlate negatively with the total scale and probably should be reversed": [
                "položky {items} negativně korelují s celkovou škálou a pravděpodobně by měly být obráceny"
            ],
            "Jittered": [
                ""
            ],
            "Kendall's Tau B": [
                "Kendallovo Tau B"
            ],
            "Kendall's Tau-B": [
                "Kendallovo Tau-B"
            ],
            "Kendall's Tau-b": [
                "Kendallovo Tau-b"
            ],
            "Kendall's tau-b": [
                "Kendallovo tau-b"
            ],
            "KMO Measure of Sampling Adequacy": [
                ""
            ],
            "KMO measure of sampling adequacy": [
                ""
            ],
            "Kruskal-Wallis": [
                "Kruskal-Wallis"
            ],
            "Kurtosis": [
                "Kurtóza"
            ],
            "Label outliers": [
                "Označení odlehlých hodnot"
            ],
            "Layers": [
                ""
            ],
            "Level": [
                ""
            ],
            "Level 1": [
                ""
            ],
            "Level 2": [
                ""
            ],
            "Levene's test is significant (p < .05), suggesting a violation of the assumption of equal variances": [
                "Leveneho test je významný (p < .05), což naznačuje porušení předpokladu rovnosti rozptylů"
            ],
            "Likelihood": [
                "Pravděpodobnost"
            ],
            "Likelihood ratio": [
                "Pravděpodobnostní poměr"
            ],
            "Likelihood ratio tests": [
                "Test poměru pravděpodobnosti"
            ],
            "linear": [
                "lineární"
            ],
            "Linear Regression": [
                "Lineární regrese"
            ],
            "Linear regression is used to explore the relationship between a continuous dependent variable, and one or more continuous and/or categorical explanatory variables. Other statistical methods, such as ANOVA and ANCOVA, are in reality just forms of linear regression.": [
                "Lineární regrese se používá ke zkoumání vztahu mezi spojitou závislou proměnnou a jednou nebo více spojitými a/nebo kategorickými vysvětlujícími proměnnými. Ostatní statistické metody, jako je ANOVA a ANCOVA, jsou ve skutečnosti jen formami lineární regrese."
            ],
            "Log odds ratio": [
                "Logaritmický poměr pravděpodobnosti"
            ],
            "Log odds ratio exact": [
                ""
            ],
            "Log-Linear Regression": [
                "Logaritmicko-lineární regrese"
            ],
            "Logistic Regression": [
                "Logistická regrese"
            ],
            "Lower": [
                "Dolní"
            ],
            "lower bound": [
                "dolní mez"
            ],
            "Mahalanobis ChiSq": [
                ""
            ],
            "Mahalanobis distance": [
                ""
            ],
            "Mahalanobis Distance": [
                ""
            ],
            "Mahalanobis distance (Chi sq.)": [
                ""
            ],
            "Mahalanobis distance (p)": [
                ""
            ],
            "Mahalanobis distance can only be calculated for models with two or more covariates": [
                ""
            ],
            "Mahalanobis p": [
                ""
            ],
            "MANCOVA": [
                "MANCOVA"
            ],
            "Mann-Whitney U": [
                "Mannovo-Whitneyho U"
            ],
            "Mantel-Haenszel": [
                "Mantel-Haenszel"
            ],
            "Mantel-Haenszel Test for Trend": [
                "Mantelův-Haenszelův test trendu"
            ],
            "Marginal Mean": [
                "Mezní průměr"
            ],
            "Marginal Means": [
                ""
            ],
            "Marginal means plots": [
                ""
            ],
            "Marginal means tables": [
                ""
            ],
            "Mauchly's W": [
                "Mauchlyho W"
            ],
            "Max": [
                "Max"
            ],
            "Maximum": [
                "Maximum"
            ],
            "Maximum likelihood": [
                "Maximální pravděpodobnost"
            ],
            "McDonald's ω": [
                "McDonaldovo ω"
            ],
            "McDonald's ω (if item is dropped)": [
                "McDonaldovo ω (pokud je položka vypuštěna)"
            ],
            "McFadden's R²": [
                "McFaddenovo R²"
            ],
            "McNemar requires a 2x2 table": [
                "McNemar vyžaduje tabulku 2x2"
            ],
            "McNemar Test": [
                "McNemarův test"
            ],
            "McNemar test": [
                "McNemarův test"
            ],
            "Mean": [
                ""
            ],
            "Mean ({ciWidth}% CI)": [
                "Průměr ({ciŠířka}% CI)"
            ],
            "Mean Difference": [
                "Průměrný rozdíl"
            ],
            "Mean difference": [
                "Průměrný rozdíl"
            ],
            "Mean Dispersion": [
                "Průměrný rozptyl"
            ],
            "Mean score": [
                ""
            ],
            "Mean Square": [
                ""
            ],
            "Means": [
                ""
            ],
            "Measure": [
                ""
            ],
            "Measure 1 - Measure 2": [
                "Měřítko 1 - Měřítko 2"
            ],
            "Measure 1 < Measure 2": [
                "Měřítko 1 < Měřítko 2"
            ],
            "Measure 1 ≠ Measure 2": [
                "Měřítko 1 ≠ Měřítko 2"
            ],
            "Measure 1 > Measure 2": [
                "Měřítko 1 > Měřítko 2"
            ],
            "Measures": [
                "Měřítka"
            ],
            "Median": [
                "Medián"
            ],
            "Medians": [
                "Mediány"
            ],
            "Method": [
                "Metoda"
            ],
            "Min": [
                "Min"
            ],
            "Minimum": [
                "Minimum"
            ],
            "Minimum residual": [
                "Minimální reziduum"
            ],
            "Minimum residuals": [
                "Minimální rezidua"
            ],
            "Minimum value": [
                "Minimální hodnota"
            ],
            "Missing": [
                "Chybějící"
            ],
            "Missing Values": [
                "Chybějící hodnoty"
            ],
            "Missing values": [
                "Chybějící hodnoty"
            ],
            "Missing values exclusion method": [
                "Metoda imputaci chybějících hodnot"
            ],
            "Missing Values Method": [
                ""
            ],
            "Mode": [
                ""
            ],
            "Model": [
                ""
            ],
            "Model Builder": [
                "Konstruktér modelů"
            ],
            "Model Coefficients": [
                ""
            ],
            "Model Comparisons": [
                "Srovnání modelů"
            ],
            "Model Fit": [
                "Vhodnost modelu"
            ],
            "Model fit issue detected!": [
                ""
            ],
            "Model Fit Measures": [
                "Měřítka vhodnosti modelu"
            ],
            "Model fit measures": [
                "Měřítka vhodnosti modelu"
            ],
            "Model Specific Results": [
                "Výsledky specifické pro daný model"
            ],
            "Model Terms": [
                "Podmínky modelu"
            ],
            "Model Test": [
                "Test modelu"
            ],
            "Model Thresholds": [
                "Prahové hodnoty modelů"
            ],
            "Model thresholds": [
                "Prahové hodnoty modelů"
            ],
            "Models estimated using sample size of N={n}": [
                ""
            ],
            "Modification Indices": [
                "Modifikační indexy"
            ],
            "Modification indices": [
                "Modifikační indexy"
            ],
            "Monte Carlo simulation": [
                ""
            ],
            "More than one mode exists, only the first is reported": [
                "Existuje více způsobů, hlásí se pouze první"
            ],
            "Most extreme": [
                "Největší extrém"
            ],
            "MSA": [
                "MSA"
            ],
            "Multinomial": [
                "Multinomiální"
            ],
            "Multinomial Logistic Regression": [
                "Multinomiální logistická regrese"
            ],
            "Multivariate Analysis of (Co)Variance (MANCOVA) is used to explore the relationship between multiple dependent variables, and one or more categorical and/or continuous explanatory variables.": [
                "Vícerozměrná analýza (ko)variance (MANCOVA) se používá ke zkoumání vztahu mezi více závislými proměnnými a jednou nebo více kategorickými a/nebo kontinuálními vysvětlujícími proměnnými."
            ],
            "Multivariate Statistics": [
                "Vícerozměrná statistika"
            ],
            "Multivariate Tests": [
                "Vícerozměrné testy"
            ],
            "N": [
                "N"
            ],
            "N Outcomes": [
                "N Výsledky"
            ],
            "Nagelkerke's R²": [
                "Nagelkerkeho R²"
            ],
            "No components have an eigenvalue greater than {value}": [
                "Žádná složka nemá vlastní číslo větší než {hodnota}"
            ],
            "No correction": [
                "Bez opravy"
            ],
            "No factors defined. Box's M test is only relevant when model contains factors.": [
                "Nejsou definovány žádné faktory. Boxův M test je relevantní pouze v případě, že model obsahuje faktory."
            ],
            "Nominal": [
                "Nominální"
            ],
            "Non-Parametric": [
                "Neparametrické"
            ],
            "None": [
                "Žádný"
            ],
            "none": [
                "žádné"
            ],
            "Normal Scaled Items": [
                "Položky s normálním měřítkem"
            ],
            "Normality": [
                ""
            ],
            "Normality test": [
                "Test normality"
            ],
            "Normality Test (Shapiro-Wilk)": [
                "Test normality (Shapiroův-Wilkův)"
            ],
            "Not all coefficients could be estimated (likely due to singular fit)": [
                ""
            ],
            "Not all statistics support weighted data yet.": [
                ""
            ],
            "Not available due to too large number of cases (> 5000).": [
                "Není k dispozici z důvodu příliš velkého počtu případů (> 5000)."
            ],
            "Not enough degrees of freedom to estimate all the model effects": [
                "Nedostatek stupňů volnosti pro odhad všech výsledků modelu"
            ],
            "Number of Components": [
                "Počet komponentů"
            ],
            "Number of components": [
                "Počet komponentů"
            ],
            "Number of extreme values": [
                "Počet extrémních hodnot"
            ],
            "Number of Factors": [
                "Počet faktorů"
            ],
            "Number of factors": [
                "Počet faktorů"
            ],
            "Number of requested extreme values is higher than the number of rows in the data.": [
                "Počet požadovaných extrémních hodnot je vyšší než počet řádků v datech."
            ],
            "Oblimin": [
                "Oblimin"
            ],
            "oblimin": [
                "oblimin"
            ],
            "Observed": [
                "Pozorované"
            ],
            "Observed counts": [
                "Sledované počty"
            ],
            "Observed scores": [
                "Sledované výsledky"
            ],
            "octic": [
                ""
            ],
            "Odds Ratio": [
                "Poměr pravděpodobnosti"
            ],
            "Odds ratio": [
                "Poměr pravděpodobnosti"
            ],
            "of total": [
                "z celkového počtu"
            ],
            "Omnibus ANOVA Test": [
                ""
            ],
            "Omnibus Likelihood Ratio Tests": [
                ""
            ],
            "Omnibus Test": [
                ""
            ],
            "Omnibus Tests": [
                ""
            ],
            "One or both groups do not contain enough observations": [
                "Jedna nebo obě skupiny neobsahují dostatečný počet pozorování"
            ],
            "One or both variables are not numeric": [
                "Jedna nebo obě proměnné nejsou číselné"
            ],
            "One or both variables contain infinite values": [
                "Jedna nebo obě proměnné obsahují nekonečné hodnoty"
            ],
            "One or both variables contain no observations": [
                "Jedna nebo obě proměnné neobsahují žádná pozorování"
            ],
            "One or both variables do not contain enough observations": [
                "Jedna nebo obě proměnné neobsahují dostatečný počet pozorování"
            ],
            "One or more coefficients in model '{modelNo}' could not be estimated due to perfect collinearity.": [
                "Jeden nebo více koeficientů v modelu \"{modelNo}\" nebylo možné odhadnout z důvodu dokonalé kolinearity."
            ],
            "One Sample Proportion Tests": [
                "Testy poměru jednoho vzorku"
            ],
            "One Sample T-Test": [
                "T-test jednoho vzorku"
            ],
            "One-Way ANOVA": [
                "Jednosměrná ANOVA"
            ],
            "One-Way ANOVA (Fisher's)": [
                "Jednosměrná ANOVA (Fisherova)"
            ],
            "One-Way ANOVA (Non-parametric)": [
                "Jednosměrná ANOVA (neparametrická)"
            ],
            "One-Way ANOVA (Welch's)": [
                "Jednosměrná ANOVA (Welchova)"
            ],
            "Options": [
                "Možnosti"
            ],
            "Ordinal": [
                "Řadový"
            ],
            "Ordinal Logistic Regression": [
                "Řádová logistická regrese"
            ],
            "Ordinal Outcomes": [
                "Řadové výsledky"
            ],
            "Outliers": [
                ""
            ],
            "Output": [
                "Výstup"
            ],
            "Overall": [
                "Celkový"
            ],
            "Overall model": [
                "Celkový model"
            ],
            "Overall Model Test": [
                "Celkový test modelu"
            ],
            "Overall model test": [
                "Celkový test modelu"
            ],
            "p": [
                "p"
            ],
            "p <": [
                ""
            ],
            "p-value": [
                "p-hodnota"
            ],
            "p<sub>(Bonferroni)</sub>": [
                ""
            ],
            "p<sub>(unadj)</sub>": [
                ""
            ],
            "p<sub>bonferroni</sub>": [
                "p<sub>bonferroni</sub>"
            ],
            "p<sub>holm</sub>": [
                "p<sub>holm</sub>"
            ],
            "p<sub>scheffe</sub>": [
                "p<sub>scheffe</sub>"
            ],
            "p<sub>tukey</sub>": [
                "p<sub>tukey</sub>"
            ],
            "Paired Samples": [
                "Párové vzorky"
            ],
            "Paired Samples Contingency Tables": [
                "Kontingenční tabulky párových vzorků"
            ],
            "Paired Samples T-Test": [
                "T-test párových vzorků"
            ],
            "Paired Variables": [
                "Párové proměnné"
            ],
            "Pairwise comparisons - $key": [
                "Párová porovnání - $key"
            ],
            "Pairwise Comparisons (Durbin-Conover)": [
                "Párová srovnání (Durbin-Conover)"
            ],
            "Pairwise comparisons (Durbin-Conover)": [
                "Párová srovnání (Durbin-Conover)"
            ],
            "Partial": [
                "Částečně"
            ],
            "Partial Correlation": [
                "Částečná korelace"
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables": [
                ""
            ],
            "Partial correlation matrices are a way to examine linear relationships\nbetween two or more continuous variables while controlling for other\nvariables\n\nFor each pair of variables, a Pearson's r value indicates the strength\nand direction of the relationship between those two variables. A\npositive value indicates a positive relationship (higher values of one\nvariable predict higher values of the other variable). A negative\nPearson's r indicates a negative relationship (higher values of one\nvariable predict lower values of the other variable, and vice-versa).\nA value of zero indicates no relationship (whether a variable is high\nor low, does not tell us anything about the value of the other\nvariable).\n\nMore formally, it is possible to test the null hypothesis that the\ncorrelation is zero and calculate a p-value. If the p-value is low, it\nsuggests the correlation co-efficient is not zero, and there is a linear\n(or more complex) relationship between the two variables.": [
                ""
            ],
            "Partial η²": [
                "Dílčí η²"
            ],
            "partial η²": [
                "Dílčí η²"
            ],
            "Participants (rows) below p-threshold": [
                ""
            ],
            "Path Diagram": [
                ""
            ],
            "Path diagram": [
                ""
            ],
            "Pearson": [
                "Pearsonův"
            ],
            "Pearson correlation cannot be calculated for non-numeric values": [
                "Pearsonovu korelaci nelze vypočítat pro nečíselné hodnoty"
            ],
            "Pearson residuals": [
                ""
            ],
            "Pearson's r": [
                "Pearsonovo r"
            ],
            "Pearson{}Correlation": [
                "Pearsonova{}korelace"
            ],
            "Percentages": [
                "Procenta"
            ],
            "Percentages of total": [
                "Procenta z celku"
            ],
            "Percentages within {var}": [
                "Procenta v rámci {var}"
            ],
            "Percentile": [
                "Percentil"
            ],
            "Percentile Values": [
                "Percentilové hodnoty"
            ],
            "Percentile values": [
                "Percentilové hodnoty"
            ],
            "Percentiles": [
                "Percentily"
            ],
            "perform a Mann-Whitney U test.": [
                "provést Mannův-Whitneyho U test."
            ],
            "perform a Shapiro-Wilk test of normality. A low p-value suggests the data is not from a normal distribution.": [
                "provést Shapirův-Wilkův test normality. Nízká p-hodnota naznačuje, že data nepocházejí z normálního rozdělení."
            ],
            "perform an overall model test.": [
                "provést celkový test modelu."
            ],
            "perform Fisher's (or what might be call 'normal') ANOVAs.": [
                "provést Fisherovu (nebo jak by se dalo říci \"normální\") ANOVA."
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the data is not from a normal distribution.": [
                "provést Shapiro-Wilkovy testy normality. Nízká p-hodnota naznačuje, že data nepocházejí z normálního rozdělení."
            ],
            "perform Shapiro-Wilk tests of normality. A low p-value suggests the residuals are not normally distributed.": [
                "provést Shapiro-Wilkovy testy normality. Nízká p-hodnota naznačuje, že rezidua nejsou normálně rozdělena."
            ],
            "perform Student's independent samples t-tests.": [
                "provést Studentův t-test nezávislých výběrů."
            ],
            "perform Student's one-sample t-tests.": [
                "provést Studentův jednovýběrový t-test."
            ],
            "perform Student's paired samples t-tests.": [
                "provést Studentovy párové t-testy."
            ],
            "perform Welch's ANOVAs.": [
                "provést Welchovu ANOVA."
            ],
            "perform Welch's tests.": [
                "provést Welchovy testy."
            ],
            "perform Wilcoxon signed rank tests.": [
                "provést Wilcoxonovy signifikantní rankové testy."
            ],
            "Phi and Cramer's V": [
                "Phi a Cramerovo V"
            ],
            "Phi-coefficient": [
                "Koeficient Phi"
            ],
            "Pillai's Trace": [
                "Pillaiova stopa"
            ],
            "Plot": [
                ""
            ],
            "plot densities along the diagonal of the correlation matrix plot.": [
                "vykreslit hustoty podél diagonály grafu korelační matice."
            ],
            "plot the data along with the marginal means.": [
                "vykreslit data spolu s mezním průměrem."
            ],
            "Plot Type": [
                ""
            ],
            "Plots": [
                "Pozemky"
            ],
            "Plots are not yet supported for weighted descriptives.": [
                ""
            ],
            "Polynomial": [
                "Polynomiální"
            ],
            "Post Hoc Comparisons - {term}": [
                "Post Hoc srovnání - {term}"
            ],
            "Post Hoc Test": [
                ""
            ],
            "Post Hoc Test ({title})": [
                ""
            ],
            "Post Hoc Tests": [
                "Post Hoc testy"
            ],
            "Post Hoc Tests – $key": [
                "Post Hoc testy - $key"
            ],
            "Post-Hoc Model Performance": [
                "Výkonnost modelu post-Hoc"
            ],
            "Post-Hoc Test": [
                "Post-Hoc test"
            ],
            "Post-Hoc Tests": [
                "Post-Hoc testy"
            ],
            "Posterior": [
                ""
            ],
            "Posterior plot": [
                ""
            ],
            "Posterior Plots": [
                ""
            ],
            "Predicted": [
                "Předpokládané"
            ],
            "Predicted probability of … = … (vs … = …)": [
                "Předpokládaná pravděpodobnost ... = ... (oproti ... = ...)"
            ],
            "Predicted probability of {dep} = {level1} (vs {dep} = {level2})": [
                "Předpokládaná pravděpodobnost {hloubka} = {úroveň1} (oproti {hloubka} = {úroveň2})"
            ],
            "Predicted values": [
                "Předpokládané hodnoty"
            ],
            "Prediction": [
                "Předpověď"
            ],
            "Predictive Measures": [
                "Prediktivní měřítka"
            ],
            "Predictor": [
                "Prediktor"
            ],
            "Predictors": [
                "Prediktory"
            ],
            "Principal axis": [
                "Hlavní osa"
            ],
            "Principal axis factoring": [
                "Faktoring hlavní osy"
            ],
            "Principal Component Analysis": [
                "Analýza hlavních komponent"
            ],
            "Prior": [
                "Předchozí"
            ],
            "Prior width": [
                ""
            ],
            "Probability": [
                "Pravděpodobnost"
            ],
            "Promax": [
                ""
            ],
            "promax": [
                ""
            ],
            "Proportion": [
                "Poměr"
            ],
            "Proportion Test (2 Outcomes)": [
                "Test poměru (2 výsledky)"
            ],
            "Proportion Test (N Outcomes)": [
                "Poměrový test (výsledky N)"
            ],
            "provide a Cohen's d measure of effect size for the post-hoc tests.": [
                ""
            ],
            "provide a confidence interval for the difference between the mean estimate and the test value.": [
                ""
            ],
            "provide a correlation matrix plot.": [
                "poskytnout graf korelační matice."
            ],
            "provide a Kendall's tau-b for each combination of variables.": [
                "poskytnout Kendallův tau-b pro každou kombinaci proměnných."
            ],
            "provide a p-value for each correlation co-efficient.": [
                "poskytnout p-hodnotu pro každý korelační koeficient."
            ],
            "provide a Pearson's r for each combination of variables.": [
                "poskytnout Pearsonovo r pro každou kombinaci proměnných."
            ],
            "provide a Q-Q plot of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution.": [
                ""
            ],
            "provide a Spearman's rho for each combination of variables.": [
                ""
            ],
            "provide a table of descriptives for each variable.": [
                ""
            ],
            "provide a table of the estimated marginal means.": [
                ""
            ],
            "provide Bayes factors for the Student's independent samples t-tests.": [
                ""
            ],
            "provide Bayes factors for the Student's one-sample t-tests.": [
                ""
            ],
            "provide Bayes factors for the Student's paired samples t-tests.": [
                ""
            ],
            "provide confidence intervals for Pearson's r.": [
                ""
            ],
            "provide confidence intervals for the effect-sizes": [
                ""
            ],
            "provide confidence intervals for the mean differences.": [
                ""
            ],
            "provide confidence intervals for the post-hoc effect sizes.": [
                ""
            ],
            "provide correlation co-efficients in the correlation matrix plot.": [
                ""
            ],
            "provide descriptive plots for each group.": [
                ""
            ],
            "provide descriptive plots for each variable.": [
                ""
            ],
            "provide descriptives for each group of measurements.": [
                ""
            ],
            "provide descriptives for each group.": [
                ""
            ],
            "provide descriptives plots.": [
                ""
            ],
            "provide effect-sizes (Cohen's D).": [
                ""
            ],
            "provide effect-sizes (Cohen's d).": [
                ""
            ],
            "provide Levene's test for homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                ""
            ],
            "provide Levene's tests for the homogeneity of variances. A low p-value suggests the groups have unequal variances.": [
                ""
            ],
            "provide mean differences and standard errors of the mean differences.": [
                ""
            ],
            "provide mean differences with the post-hoc tests.": [
                ""
            ],
            "provide mean differences, and standard errors of the mean differences, between the mean estimate, and the test value.": [
                ""
            ],
            "provide measures of effect size; η², partial η², or ω².": [
                ""
            ],
            "provide p-value corrections for sphericity.": [
                ""
            ],
            "provide plots of the estimated marginal means.": [
                ""
            ],
            "provide post-hoc tests.": [
                ""
            ],
            "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the data is not from a normal distribution.": [
                ""
            ],
            "provide Q-Q plots of residuals -- a plot of the actual residuals against what would be expected if the data were *perfectly* normally distributed. Large deviations from the diagonal line suggest the residuals are not normally distributed.": [
                ""
            ],
            "provide significance levels for the post-hoc tests.": [
                ""
            ],
            "provide sphericity tests.": [
                ""
            ],
            "provide test results (t-value and degrees of freedom) for post-hoc tests.": [
                ""
            ],
            "provide the number of cases.": [
                ""
            ],
            "Pseudo R²": [
                ""
            ],
            "Q-Q": [
                ""
            ],
            "Q-Q Plot": [
                ""
            ],
            "Q-Q plot": [
                ""
            ],
            "Q-Q Plot Assessing Multivariate Normality": [
                ""
            ],
            "Q-Q plot of multivariate normality": [
                ""
            ],
            "Q-Q plot of residuals": [
                ""
            ],
            "Q-Q Plots": [
                ""
            ],
            "Q-Q plots": [
                ""
            ],
            "quadratic": [
                ""
            ],
            "quartic": [
                ""
            ],
            "Quartimax": [
                ""
            ],
            "quartimax": [
                ""
            ],
            "quintic": [
                ""
            ],
            "R": [
                ""
            ],
            "R²": [
                ""
            ],
            "R²<sub>CS</sub>": [
                ""
            ],
            "R²<sub>McF</sub>": [
                ""
            ],
            "R²<sub>N</sub>": [
                ""
            ],
            "R²<sub>T</sub>": [
                ""
            ],
            "Range": [
                ""
            ],
            "Rank biserial correlation": [
                ""
            ],
            "Rate Ratio": [
                ""
            ],
            "Rate ratio": [
                ""
            ],
            "Ratio": [
                ""
            ],
            "Reference Level": [
                ""
            ],
            "Reference level (dummy coding)": [
                ""
            ],
            "Reference Levels": [
                ""
            ],
            "Regression": [
                "Regrese"
            ],
            "Relative risk": [
                ""
            ],
            "Reliability Analysis": [
                ""
            ],
            "Repeated": [
                ""
            ],
            "Repeated Measures ANOVA": [
                ""
            ],
            "Repeated Measures ANOVA (Non-parametric)": [
                ""
            ],
            "Repeated Measures Cells": [
                ""
            ],
            "Repeated Measures Components": [
                ""
            ],
            "Repeated Measures Factors": [
                ""
            ],
            "Report significance": [
                ""
            ],
            "Represents grand mean": [
                ""
            ],
            "Represents reference level": [
                ""
            ],
            "Residual": [
                ""
            ],
            "Residual Covariances": [
                ""
            ],
            "Residual covariances": [
                ""
            ],
            "Residual Covariances – Modification Indices": [
                ""
            ],
            "Residual Estimates": [
                ""
            ],
            "Residual Intercepts": [
                ""
            ],
            "Residual intercepts": [
                ""
            ],
            "Residual plots": [
                ""
            ],
            "Residual sum of squares and/or degrees of freedom are zero, indicating a perfect fit": [
                ""
            ],
            "Residuals": [
                ""
            ],
            "Residuals for Observed Correlation Matrix": [
                ""
            ],
            "Residuals from ANOVA": [
                ""
            ],
            "Residuals observed correlation matrix": [
                ""
            ],
            "Residuals Plots": [
                ""
            ],
            "Results": [
                "Výsledek"
            ],
            "reverse scaled item": [
                ""
            ],
            "Reverse Scaled Items": [
                ""
            ],
            "RM Factor 1": [
                ""
            ],
            "RMSE": [
                ""
            ],
            "RMSEA": [
                ""
            ],
            "RMSEA 90% CI": [
                ""
            ],
            "ROC": [
                ""
            ],
            "ROC Curve": [
                ""
            ],
            "ROC curve": [
                ""
            ],
            "Rotation": [
                ""
            ],
            "Row": [
                ""
            ],
            "Row number": [
                ""
            ],
            "Row variable '{var}' contains fewer than 2 levels": [
                ""
            ],
            "Rows": [
                "Řádky/ů"
            ],
            "rows": [
                ""
            ],
            "Rows compared": [
                ""
            ],
            "Roy's Largest Root": [
                ""
            ],
            "Sample Size": [
                ""
            ],
            "Save": [
                "Uložit"
            ],
            "scale": [
                ""
            ],
            "Scale Analysis": [
                ""
            ],
            "Scale factor = scale first indicator": [
                ""
            ],
            "Scale Reliability Statistics": [
                ""
            ],
            "Scale Statistics": [
                ""
            ],
            "Scheffe": [
                ""
            ],
            "Score Component": [
                ""
            ],
            "Score Factor": [
                ""
            ],
            "Score for component": [
                ""
            ],
            "Score for factor {i}. Estimated using the '{fsMethod}' method.": [
                ""
            ],
            "Scree Plot": [
                ""
            ],
            "Scree plot": [
                ""
            ],
            "SD": [
                ""
            ],
            "SE": [
                ""
            ],
            "SE difference": [
                ""
            ],
            "Semipartial": [
                ""
            ],
            "Semipartial Correlation": [
                ""
            ],
            "Sensitivity": [
                ""
            ],
            "septic": [
                ""
            ],
            "sextic": [
                ""
            ],
            "Shapiro-Wilk": [
                ""
            ],
            "Shapiro-Wilk Multivariate Normality Test": [
                ""
            ],
            "Shapiro-Wilk p": [
                ""
            ],
            "Shapiro-Wilk test": [
                ""
            ],
            "Shapiro-Wilk test for multivariate normality": [
                ""
            ],
            "Shapiro-Wilk W": [
                ""
            ],
            "Side by side": [
                ""
            ],
            "Simple": [
                ""
            ],
            "Simplimax": [
                ""
            ],
            "simplimax": [
                ""
            ],
            "Simulations": [
                ""
            ],
            "Singular fit encountered; one or more predictor variables are a linear combination of other predictor variables.": [
                ""
            ],
            "Singularity error. Sphericity corrections are not available": [
                ""
            ],
            "Singularity error. Sphericity tests are not available": [
                ""
            ],
            "Skewness": [
                ""
            ],
            "Sort loadings by size": [
                ""
            ],
            "Spearman": [
                ""
            ],
            "Spearman's rho": [
                ""
            ],
            "Specificity": [
                ""
            ],
            "Sphericity Correction": [
                ""
            ],
            "Sphericity corrections": [
                ""
            ],
            "Sphericity tests": [
                ""
            ],
            "Split by": [
                ""
            ],
            "Squared Mahalanobis Distance": [
                ""
            ],
            "SRMR": [
                ""
            ],
            "SS Loadings": [
                ""
            ],
            "Stacked": [
                ""
            ],
            "Stand. Estimate": [
                ""
            ],
            "Standard deviation": [
                ""
            ],
            "Standard Error": [
                ""
            ],
            "Standard error": [
                "Směrodatná odchylka"
            ],
            "Standardized Estimate": [
                ""
            ],
            "Standardized estimate": [
                ""
            ],
            "Standardized Residuals": [
                ""
            ],
            "Standardized residuals": [
                ""
            ],
            "Standardized residuals (adjusted Pearson)": [
                ""
            ],
            "Statistic": [
                ""
            ],
            "statistic": [
                ""
            ],
            "Statistics": [
                ""
            ],
            "Std. deviation": [
                ""
            ],
            "Std. error kurtosis": [
                ""
            ],
            "Std. error mean": [
                ""
            ],
            "Std. error of Mean": [
                ""
            ],
            "Std. error skewness": [
                ""
            ],
            "Student's": [
                ""
            ],
            "Student's t": [
                ""
            ],
            "Student's test": [
                ""
            ],
            "Sum": [
                ""
            ],
            "Sum of Squares": [
                ""
            ],
            "Sum of squares": [
                ""
            ],
            "Sum score": [
                ""
            ],
            "Summary": [
                ""
            ],
            "t": [
                ""
            ],
            "T-Tests": [
                "T-Testy"
            ],
            "t-value": [
                ""
            ],
            "ten Berge": [
                ""
            ],
            "Term {0}": [
                ""
            ],
            "Term 1": [
                ""
            ],
            "Test for Exact Fit": [
                ""
            ],
            "Test results (t and df)": [
                ""
            ],
            "Test statistics": [
                ""
            ],
            "Test Value": [
                ""
            ],
            "Test value": [
                ""
            ],
            "Tests": [
                ""
            ],
            "Tests of Sphericity": [
                ""
            ],
            "th percentile": [
                ""
            ],
            "The 'iris' data set from R": [
                ""
            ],
            "The 'split by' variable '{var}' contains no data.": [
                ""
            ],
            "the alternative and null hypotheses;\n\n|              | Alternative (Hₐ)  | Null (H₀)          |\n|--------------|-------------------|--------------------|\n| ≠ Test value | Mean ≠ Test value | Mean = Test value  |\n| > Test value | Mean > Test value | Mean <= Test value |\n| < Test value | Mean < Test value | Mean >= Test value |": [
                ""
            ],
            "the alternative hypothesis.": [
                ""
            ],
            "the alternative hypothesis. Allows for one-tailed tests.": [
                ""
            ],
            "The Analysis of Covariance (ANCOVA) is used to explore the relationship\nbetween a continuous dependent variable, one or more categorical\nexplanatory variables, and one or more continuous explanatory variables\n(or covariates). It is essentially the same analysis as ANOVA, but\nwith the addition of covariates.": [
                ""
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.": [
                ""
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables.\n\nANOVA assumes that the residuals are normally distributed, and that the\nvariances of all groups are equal. If one is unwilling to assume that\nthe variances are equal, then a Welch's test can be used instead\n(However, the Welch's test does not support more than one explanatory\nfactor). Alternatively, if one is unwilling to assume that the data is\nnormally distributed, a non-parametric approach (such as Kruskal-Wallis)\ncan be used.": [
                ""
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables. This 'One-Way ANOVA' is a simplified version of\nthe 'normal' ANOVA, allowing only a single explanatory factor, however\nalso providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\nit need not assume that the variances of all groups are equal.": [
                ""
            ],
            "The Analysis of Variance (ANOVA) is used to explore the relationship\nbetween a continuous dependent variable, and one or more categorical\nexplanatory variables. This 'One-Way ANOVA' is a simplified version of\nthe 'normal' ANOVA, allowing only a single explanatory factor, however\nalso providing a Welch's ANOVA. The Welch's ANOVA has the advantage that\nit need not assume that the variances of all groups are equal.\n\nFor convenience, this method allows specifying multiple dependent\nvariables, resulting in multiple independent tests.\n\nNote that the Welch's ANOVA is the same procedure as the Welch's\nindependent samples t-test.": [
                ""
            ],
            "the between subjects factors (optional).": [
                ""
            ],
            "the between subjects terms of the model.": [
                ""
            ],
            "The Binomial test is used to test the Null hypothesis that the proportion of observations match some expected value. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportion must be some other value.": [
                ""
            ],
            "the categorical explanatory (or independent) variables.": [
                ""
            ],
            "The CI of the mean assumes sample means follow a t-distribution with N - 1 degrees of freedom": [
                ""
            ],
            "the confidence interval width for the effect-sizes.": [
                ""
            ],
            "the confidence interval width for the post-hoc effect sizes.": [
                ""
            ],
            "the confidence interval width.": [
                ""
            ],
            "the continuous explanatory (or independent) variables, also known as covariates.": [
                ""
            ],
            "the contrasts to use.": [
                ""
            ],
            "the control variables of interest.": [
                ""
            ],
            "the covariates (specifying these makes this an ANCOVA)": [
                ""
            ],
            "The cut-off value is set to {}": [
                ""
            ],
            "The dataset contains 0 rows (after removing rows with missing values)": [
                ""
            ],
            "The dataset contains 0 rows (or all rows contain missing values)": [
                ""
            ],
            "The dependent variable '{}' has more than two levels; binomial logistic regression can only be performed on dependent variables with two levels.": [
                ""
            ],
            "The dependent variable '{dep}' has the following order: {orderedLevels}": [
                ""
            ],
            "The dependent variable \"{dep}\" has only two levels, consider doing a binomial logistic regression.": [
                ""
            ],
            "the dependent variable. For ANCOVA, these will be continuous.": [
                ""
            ],
            "the dependent variable. For ANOVA, these will be continuous.": [
                ""
            ],
            "the dependent variables -- a separate t-test is performed for each dependent variable specified.": [
                ""
            ],
            "the dependent variables. For ANOVA, these will be continuous.": [
                ""
            ],
            "the error bars to plot on the marginal means.": [
                ""
            ],
            "the explanatory or independent variable. For ANOVA this will be categorical.": [
                ""
            ],
            "the explanatory or independent variables. For ANOVA these will be categorical.": [
                ""
            ],
            "The Friedman test is used to explore the relationship between a continuous dependent variable and a categorical explanatory variable, where the explanatory variable is 'within subjects' (where multiple measurements are from the same subject). It is analagous to Repeated Measures ANOVA, but with the advantage of being non-parametric, and not requiring the assumptions of normality or homogeneity of variances. However, it has the limitation that it can only test a single explanatory variable at a time.": [
                ""
            ],
            "The Kruskal-Wallis test is used to explore the relationship between a continuous dependent variable, and a categorical explanatory variable. It is analagous to ANOVA, but with the advantage of being non-parametric and having fewer assumptions. However, it has the limitation that it can only test a single explanatory variable at a time.": [
                ""
            ],
            "the label to use for the dependent variable.": [
                ""
            ],
            "the lavaan syntax used to fit the model": [
                ""
            ],
            "the missing value exclusion method. `Analysis by analysis` excludes missing values from each analysis. `Listwise` excludes a row from all analyses if one of its values is missing.": [
                ""
            ],
            "the missing value exclusion method. `Analysis by analysis` excludes missing values from each variable. `Listwise` excludes a row from all analyses if one of its values is missing.": [
                ""
            ],
            "the model terms which make up the model.": [
                ""
            ],
            "the model terms which make up the model. By default a full factorial model is created, but here the exact terms making up the model can be adjusted.": [
                ""
            ],
            "the pairs of measurements -- a separate t-test is performed for each pair of measurements.": [
                ""
            ],
            "the post-hoc multiple comparisons corrections to use.": [
                ""
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.01 and 2.0, default 0.707.": [
                ""
            ],
            "the prior width for the Student's t-test's Bayes factors. Requires a value between 0.5 and 2.0, default 0.707.": [
                ""
            ],
            "The Repeated Measures ANOVA is used to explore the relationship\nbetween a continuous dependent variable and one or more categorical\nexplanatory variables, where one or more of the explanatory variables\nare 'within subjects' (where multiple measurements are from the same\nsubject). Additionally, this analysis allows the inclusion of\ncovariates, allowing for repeated measures ANCOVAs as well.": [
                ""
            ],
            "The Repeated Measures ANOVA is used to explore the relationship\nbetween a continuous dependent variable and one or more categorical\nexplanatory variables, where one or more of the explanatory variables\nare 'within subjects' (where multiple measurements are from the same\nsubject). Additionally, this analysis allows the inclusion of\ncovariates, allowing for repeated measures ANCOVAs as well.\n\nThis analysis requires that the data be in 'wide format', where each\nrow represents a subject (as opposed to long format, where each\nmeasurement of the dependent variable is represented as a row).\n\nA non-parametric equivalent of the repeated measures ANOVA also exists;\nthe Friedman test. However, it has the limitation of only being able to\ntest a single factor.": [
                ""
            ],
            "the repeated measures design.": [
                ""
            ],
            "The repeated measures has only two levels. The assumption of sphericity is always met when the repeated measures has only two levels.": [
                ""
            ],
            "the repeated measures measurements.": [
                ""
            ],
            "the repeated measures terms of the model.": [
                ""
            ],
            "The specified reference level was not found for the following variable(s): {vars}. Defaulting to the first available level. To use a custom reference level, ensure the defined reference level is available in the data.": [
                ""
            ],
            "The Student's Independent samples t-test (sometimes called a two-samples\nt-test) is used to test the null hypothesis that two groups have the\nsame mean. A low p-value suggests that the null hypothesis is not true,\nand therefore the group means are different.": [
                ""
            ],
            "The Student's Independent samples t-test (sometimes called a two-samples\nt-test) is used to test the null hypothesis that two groups have the\nsame mean. A low p-value suggests that the null hypothesis is not true,\nand therefore the group means are different.\n\nThe Student's independent t-test assumes that the data from each group\nare from a normal distribution, and that the variances of these groups\nare equal. If unwilling to assume the groups have equal variances, the\nWelch's t-test can be used in it's place. If one is additionally\nunwilling to assume the data from each group are from a normal\ndistribution, the non-parametric Mann-Whitney U test can be used instead\n(However, note that the Mann-Whitney U test has a slightly different\nnull hypothesis; that the distributions of each group is equal).": [
                ""
            ],
            "The Student's One-sample t-test is used to test the null hypothesis that\nthe true mean is equal to a particular value (typically zero). A low\np-value suggests that the null hypothesis is not true, and therefore\nthe true mean must be different from the test value.": [
                ""
            ],
            "The Student's One-sample t-test is used to test the null hypothesis that\nthe true mean is equal to a particular value (typically zero). A low\np-value suggests that the null hypothesis is not true, and therefore\nthe true mean must be different from the test value.\n\nThe Student's One-sample t-test assumes that the data are from a normal\ndistribution -- in the case that one is unwilling to assume this, the\nnon-parametric Wilcoxon signed-rank can be used in it's place (However,\nnote that the Wilcoxon signed-rank has a slightly different null\nhypothesis; that the *median* is equal to the test value).": [
                ""
            ],
            "The Student's paired samples t-test (sometimes called a\ndependent-samples t-test) is used to test the null hypothesis that the\ndifference between pairs of measurements is equal to zero. A low p-value\nsuggests that the null hypothesis is not true, and that the\ndifference between the measurement pairs is not zero.": [
                ""
            ],
            "The Student's paired samples t-test (sometimes called a\ndependent-samples t-test) is used to test the null hypothesis that the\ndifference between pairs of measurements is equal to zero. A low p-value\nsuggests that the null hypothesis is not true, and that the\ndifference between the measurement pairs is not zero.\n\nThe Student's paired samples t-test assumes that pair differences follow\na normal distribution -- in the case that one is unwilling to assume\nthis, the non-parametric Wilcoxon signed-rank can be used in it's place\n(However, note that the Wilcoxon signed-rank has a slightly different\nnull hypothesis; that the two groups of measurements follow the same\ndistribution).": [
                ""
            ],
            "the terms to provide estimated marginal means for. Here you can specify multiple terms.": [
                ""
            ],
            "the test value to test against (typically zero).": [
                ""
            ],
            "the type of correlation to calculate": [
                ""
            ],
            "the type of sums of squares to use; Type 1, 2, or 3.": [
                ""
            ],
            "the type of sums of squares to use; Type 2, or 3.": [
                ""
            ],
            "The underlying `aov` object": [
                ""
            ],
            "The variable {var} cannot be treated as numeric. Plots that expect numeric data will not be created for this variable.": [
                ""
            ],
            "the variable specifying the groups; must have 2 levels.": [
                ""
            ],
            "The variables {vars} cannot be treated as numeric. Plots that expect numeric data will not be created for these variables.": [
                ""
            ],
            "the variables of interest -- a separate t-test is performed for each variable specified.": [
                ""
            ],
            "the variables of interest.": [
                ""
            ],
            "the width for the Confidence intervals.": [
                ""
            ],
            "The χ² Goodness of fit test (not to be confused with the χ² test of independence), tests the Null hypothesis that the proportions of observations match some expected proportions. If the p-value is low, this suggests that the Null hypothesis is false, and that the true proportions are different to those tested.": [
                ""
            ],
            "The χ² test of association (not to be confused with the χ² goodness of fit) is used to test whether two categorical variables are independent or associated. If the p-value is low, it suggests the variables are not independent, and that there is a relationship between the two variables.": [
                ""
            ],
            "Theoretical Quantiles": [
                ""
            ],
            "There were no Mahalanobis distances with a threshold below p < {p}.": [
                ""
            ],
            "This module represents the analyses included with jamovi. It contains many common analyses (such as t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, factor analysis, etc).": [
                ""
            ],
            "Threshold": [
                ""
            ],
            "Thresholds": [
                ""
            ],
            "Thurstone": [
                ""
            ],
            "Tjur's R²": [
                ""
            ],
            "TLI": [
                ""
            ],
            "Tolerance": [
                ""
            ],
            "Too few observations (N < 3) to compute statistic": [
                ""
            ],
            "Too few observations to calculate statistic. Each (sub)group must have at least as many observations as there are dependent variables.": [
                ""
            ],
            "Too few samples to compute statistic (N < {n})": [
                ""
            ],
            "Too few samples to compute statistic (N < 3)": [
                ""
            ],
            "Too many observations (N > 5000) to compute statistic": [
                ""
            ],
            "Too many samples to compute statistic (N > {n})": [
                ""
            ],
            "Too many samples to compute statistic (N > 5000)": [
                ""
            ],
            "Tooth Growth": [
                ""
            ],
            "Total": [
                ""
            ],
            "Tukey": [
                ""
            ],
            "Tukey (equal variances)": [
                ""
            ],
            "Tukey Post-Hoc Test – {dep}": [
                ""
            ],
            "Type {ssType} Sums of Squares": [
                ""
            ],
            "Type 1": [
                ""
            ],
            "Type 2": [
                ""
            ],
            "Type 3": [
                ""
            ],
            "Type 3 sum of squares": [
                ""
            ],
            "Unable to split by a continuous variable": [
                ""
            ],
            "Uniqueness": [
                ""
            ],
            "Univariate Tests": [
                ""
            ],
            "Unstandardized residuals": [
                ""
            ],
            "Upper": [
                "Horní"
            ],
            "upper bound": [
                ""
            ],
            "Value": [
                ""
            ],
            "value": [
                ""
            ],
            "values": [
                ""
            ],
            "Values are counts": [
                ""
            ],
            "Variable": [
                ""
            ],
            "Variable '{var}' contains no data": [
                ""
            ],
            "Variable contains infinite values": [
                ""
            ],
            "Variable does not contain enough observations": [
                ""
            ],
            "Variable is not numeric": [
                ""
            ],
            "Variables": [
                "Proměnné"
            ],
            "Variables across columns": [
                ""
            ],
            "Variables across rows": [
                ""
            ],
            "Variables must have at least two levels": [
                ""
            ],
            "Variance": [
                ""
            ],
            "Variances": [
                ""
            ],
            "variation from the control variables is only removed from the variables in the columns": [
                ""
            ],
            "Varimax": [
                ""
            ],
            "varimax": [
                ""
            ],
            "VIF": [
                ""
            ],
            "Violin": [
                ""
            ],
            "W": [
                ""
            ],
            "weigh each cell equally. (Cells are weighed according to the cell frequency by default.)": [
                ""
            ],
            "Weight Variable": [
                ""
            ],
            "Weighted by '{varName}'": [
                ""
            ],
            "Weights": [
                "Váhy"
            ],
            "Weights (optional)": [
                ""
            ],
            "Weights contains negative values. Negative weights are not permitted.": [
                ""
            ],
            "Welch's": [
                ""
            ],
            "Welch's t": [
                ""
            ],
            "Wilcoxon rank": [
                ""
            ],
            "Wilcoxon signed rank test": [
                ""
            ],
            "Wilcoxon W": [
                ""
            ],
            "Wilks' Lambda": [
                ""
            ],
            "within column": [
                ""
            ],
            "within rows": [
                ""
            ],
            "Within Subjects Effects": [
                ""
            ],
            "X-Axis": [
                "Osa X"
            ],
            "X-axis": [
                ""
            ],
            "Y-Axis": [
                "Osa Y"
            ],
            "Y-axis": [
                ""
            ],
            "Z": [
                ""
            ],
            "z test difference in 2 proportions": [
                ""
            ],
            "z test for difference in 2 proportions": [
                ""
            ],
            "z test only available for 2x2 tables": [
                ""
            ],
            "ΔR²": [
                ""
            ],
            "ε²": [
                ""
            ],
            "η²": [
                ""
            ],
            "η²<sub>G</sub>": [
                ""
            ],
            "η²<sub>p</sub>": [
                ""
            ],
            "η²p": [
                ""
            ],
            "χ²": [
                ""
            ],
            "χ² continuity correction": [
                ""
            ],
            "χ² Goodness of Fit": [
                ""
            ],
            "χ² Goodness of fit": [
                ""
            ],
            "χ² test": [
                ""
            ],
            "χ² test of association": [
                ""
            ],
            "χ² Tests": [
                ""
            ],
            "ω²": [
                ""
            ],
            "specific factor\u0004Factor": [
                ""
            ]
        }
    },
    "code": "cs"
}