R: Multivariate Profile Analysis

# Multivariate Profile Analysis

## Documentation for package ‘configural’ version 0.1.5

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

configural-package | 'configural': An R package for profile analysis
%&% | Quadratic form matrix product
adjust_Rsq | Adjust a regression model R-squared for overfitting
complete_matrix | Make a matrix symmetric by averaging with its transpose
configural | 'configural': An R package for profile analysis
cor_covariance | Calculate the asymptotic sampling covariance matrix for the unique elements of a correlation matrix
cor_covariance_meta | Estimate the asymptotic sampling covariance matrix for the unique elements of a meta-analytic correlation matrix
cor_labels | Generate labels for correlations from a vector of variable names
cpa_mat | Conduct criterion profile analysis using a correlation matrix
cpa_scores | Compute CPA level and pattern scores for a set of data
cvec | Vectorize a matrix
disorders | Meta-analytic correlations among Big Five personality traits and psychological disorders
fungible | Locate extrema of fungible weights for regression and related models
fungible.cpa | Locate extrema of fungible criterion profile patterns
fungible.lm | Locate extrema of fungible OLS regression weights
gre | Meta-analytic correlations of Graduate Record Examination subtests with graduate grade point average
harmonic_mean | Find the harmonic mean of a vector, matrix, or columns of a data.frame
hrm | Meta-analytic correlations of HRM practices with organizational financial performance
jobchar | Meta-analytic correlations of job characteristics with performance and satisfaction
mindfulness | Meta-analytic correlations among Big Five personality traits and trait mindfulness
n_effective_R2 | Effective sample size
prejudice | Correlations between study design moderators and effect sizes for prejudice reduction following intergroup contact
rvec | Vectorize a matrix
team | Meta-analytic correlations among team processes and team effectiveness
var_error_cpa | Estimate the sampling error variance for criterion profile analysis parameters
vech | Vectorize a matrix
vech2full | Inverse vectorize a matrix
vechs | Vectorize a matrix
vechs2full | Inverse vectorize a matrix
wt_cor | Compute weighted covariances
wt_cov | Compute weighted covariances
wt_dist | Weighted descriptive statistics for a vector of numbers
wt_mean | Weighted descriptive statistics for a vector of numbers
wt_var | Weighted descriptive statistics for a vector of numbers