R: Less Code with More Comprehensive Results

# Less Code with More Comprehensive Results

## Documentation for package ‘lessR’ version 4.5.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

A B C D E F G H I K L M N O P R S T V W X misc

## -- A --

ANOVA | Analysis of Variance
av | Analysis of Variance
av_brief | Analysis of Variance

## -- B --

BarChart | Charts for One or Two Categorical Variables
BoxPlot | Univariate and Grouped Displays for a Continuous Variable
bx | Univariate and Grouped Displays for a Continuous Variable

## -- C --

ca | CountAll Descriptive Analysis of all Variables in the Data Frame
cfa | Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
Chart | Charts for One or Two Categorical Variables
corCFA | Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
corEFA | Exploratory Factor Analysis and Multiple Indicator Measurement Model
corPrint | Print a Correlation Matrix with Special Formatting
corProp | Proportionality Coefficients from Correlations
corRead | Read Specified Correlation Matrix
corReflect | Reflect Specified Variables in a Correlation Matrix
Correlation | Correlation Analysis
corReorder | Reorder Variables in a Correlation Matrix
corScree | Eigenvalue Plot of a Correlation Matrix
CountAll | CountAll Descriptive Analysis of all Variables in the Data Frame
cp | Proportionality Coefficients from Correlations
cr | Correlation Analysis
cr_brief | Correlation Analysis

## -- D --

dataAnova_1way | Data for a One-Way ANOVA
dataAnova_2way | Data for a Two-Way Balanced Factorial Design
dataAnova_rb | Data for a Randomized Block ANOVA
dataAnova_rbf | Data for a Randomized Block Factorial ANOVA
dataAnova_sp | Data for a Split-Plot ANOVA
dataBodyMeas | Data: Body Measurements
dataCars93 | Data: Cars93
dataEmployee | Data: Employees
dataEmployee_lbl | VariableLabels: Employee Data Set
dataFreqTable99 | Data: Joint Frequency Table
dataJackets | Data: Motorcycle Type and Thickness of Jacket
dataLearn | Data: Distributed vs Massed Practice
dataMach4 | Data: Machiavellianism
dataMach4_lbl | VariableLabels: Mach4 Data Set
dataReading | Data: Reading Ability
dataStockPrice | Data: Stock price of Apple, IBM and Intel from 1985 through May of 2024
dataWeightLoss | Data: WeightLoss
db | Display Contents of a Data File and Optional Variable Labels
Density | Univariate and Grouped Displays for a Continuous Variable
details | Display Contents of a Data File and Optional Variable Labels

## -- E --

efa | Exploratory Factor Analysis and Multiple Indicator Measurement Model

## -- F --

factors | Create Factor Variables Across a Sequential Range or Vector of Variables
Flows | Sankey Flow Diagram (2- or 3-Stage) with Plotly

## -- G --

getColors | Hue, Chroma, Luminance (HCL) Color Wheel or Specified Colors

## -- H --

Histogram | Univariate and Grouped Displays for a Continuous Variable
hs | Univariate and Grouped Displays for a Continuous Variable

## -- I --

interact | Run Interactive Shiny Data Visualizations

## -- K --

kurtosis | Kurtosis

## -- L --

label | Assign Variable Labels [Superseded by VariableLabels]
Logit | Logit Regression Analysis
lr | Logit Regression Analysis

## -- M --

Merge | Merge Two Data Frames Horizontally or Vertically
Model | Regression Analysis, ANOVA or t-test
model | Regression Analysis, ANOVA or t-test
model_brief | Regression Analysis, ANOVA or t-test
mrg | Merge Two Data Frames Horizontally or Vertically

## -- N --

Nest | Nest the Values of an Integer or Factor Variable
nt | Nest the Values of an Integer or Factor Variable

## -- O --

order_by | order_by the Rows of a Data Frame

## -- P --

pc | Charts for One or Two Categorical Variables
PieChart | Charts for One or Two Categorical Variables
pivot | Create a Pivot (Summary) Table
Plot | Scatterplots including Time Series
print.out | Display a Portion of Output from a Saved List Object
print.out_all | Display All Text Output from a Saved List Object
prob_norm | Compute and Plot Normal Curve Probabilities over an Interval
prob_tcut | Plot t-distribution Curve and Specified Cutoffs with Normal Curve
prob_znorm | Plot a Normal Curve with Shaded Intervals by Standard Deviation
prop | Analysis of Prop_test
Prop_test | Analysis of Prop_test

## -- R --

rd | Read Contents of a Data File with Optional Variable Labels and Feedback
rd.cor | Read Specified Correlation Matrix
rd_lbl | Read Contents of a Data File with Optional Variable Labels and Feedback
Read | Read Contents of a Data File with Optional Variable Labels and Feedback
Read2 | Read Contents of a Data File with Optional Variable Labels and Feedback
recode | Recode the Values of an Integer or Factor Variable
reflect | Reflect Specified Variables in a Correlation Matrix
reg | Regression Analysis
regPlot | regPlot Analysis
Regression | Regression Analysis
reg_brief | Regression Analysis
rename | Rename One or More Variables in a Data Frame
reord | Reorder Variables in a Correlation Matrix
rescale | Rescale a Variable
reshape_long | Reshape a Wide-Form Data Frame to Long-Form
reshape_wide | Reshape a Long-Form Data Frame to Wide-Form

## -- S --

savePlotly | Save the last Plotly chart to a standalone HTML file
scales | Confirmatory Factor Analysis of a Multiple Indicator Measurement Model
ScatterPlot | Scatterplots including Time Series
scree | Eigenvalue Plot of a Correlation Matrix
see | View the Upper and Left Corners of a Data Frame
showColors | Display All Named R Colors and Corresponding rgb Values
showPalettes | Display Color Palettes
simCImean | Pedagogical Simulation for the Confidence Interval of the Mean
simCLT | Pedagogical Simulation for the Central Limit Theorem
simFlips | Pedagogical Binomial Simulation, Coin flips
simMeans | Pedagogical Simulation of Sample Means over Repeated Samples
skew | Skew of a variable.
sp | Scatterplots including Time Series
ss | Summary Statistics for One or Two Variables
ss_brief | Summary Statistics for One or Two Variables
STL | Seasonal and Trend Decomposition of a Time Series via Loess
style | Set the Default Color Theme and Other System Settings
Subset | Subset the Values of One or More Variables
SummaryStats | Summary Statistics for One or Two Variables

## -- T --

to | Create a Sequence of Numbered Variable Names with a Common Prefix and Width
train_test | Create Training and Testing Data
Transform | Deprecated: Transform the Values of an Integer or Factor Variable
tt | Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics
ttest | Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics
ttestPower | Compute a Power Curve for a One or Two Group t-test
ttp | Compute a Power Curve for a One or Two Group t-test
tt_brief | Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics

## -- V --

values | List the Values of a Variable
VariableLabels | Create or Display Variable Labels
ViolinPlot | Univariate and Grouped Displays for a Continuous Variable
vl | Create or Display Variable Labels
vp | Univariate and Grouped Displays for a Continuous Variable

## -- W --

Write | Write the Contents of a Data Frame to an External File
wrt | Write the Contents of a Data Frame to an External File
wrt_r | Write the Contents of a Data Frame to an External File
wrt_x | Write the Contents of a Data Frame to an External File

## -- X --

X | Univariate and Grouped Displays for a Continuous Variable
xAnd | Text Processing: Insert and Into a List
xNum | Text Processing: Convert a Number to a Word
xP | Text Processing: Print Formatted Numbers
xRow | Text Processing: Add the Word Row to Case Labels that Could be Numeric
xU | Text Processing: Capitalize First Letter of a Word
xW | Text Processing: Wrap Words to Create New Lines From a Specified Line
XY | Scatterplots including Time Series

## -- misc --

. | Function . for Selecting Rows/Columns with base R Extract