Multivariate Profile Analysis

[Up] [Top]

Documentation for package ‘configural’ version 0.1.5

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