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psych (version 1.0-33)

Procedures for Personality and Psychological Research

Description

A number of routines for personality, psychometrics and experimental psychology. Functions are primarily for scale construction, cluster analysis and reliability analysis, although others are basic descriptive stats. For more information, see the personality-project.org/r.

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Version

Install

install.packages('psych')

Monthly Downloads

242,751

Version

1.0-33

License

GPL version 2 or newer

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

March 21st, 2025

Functions in psych (1.0-33)

Draw an ICLUST graph using the Rgraphviz package

circ.simulation

Simulations of circumplex and simple structure

Graph factor loading matrices

Function to form hierarchical cluster analysis of items

Convert a phi coefficient to a polychoric correlation

Basic descriptive statistics useful for psychometrics

Plot x and y error bars

Generate simulated data structures for circumplex or simple structure

Simulate a congeneric data set

Plot means and confidence intervals

factor.congruence

Coefficient of factor congruence

polar :convert Cartesian factor loadings into polar coordinates

Scree plots of data or correlation matrix compared to random ``parallel" matrices

25 Personality items representing 5 factors

Find dis-attenuated correlations and give alpha reliabilities

Kurtosis of a vector, matrix, or data frame

Principal Axis Factor Analysis

Multiple Regression from matrix input

Plot factor/cluster loadings and assign items to clusters by their highest loading

cluster Fit: fit of the cluster model to a correlation matrix

Plot a scree test

create control code for ICLUST graphical output

Compare real and random VSS solutions

Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings

Find the harmonic mean of a vector, matrix, or columns of a data.frame

Cronbach alpha for a scale

Extract cluster definitions from factor loadings

ICLUST: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles

00psych-package

A package for personality, psychometric, and psychological research

Apply four tests of circumplex versus simple structure

Score item composite scales and find Cronbach's alpha as well as associated statistics

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Find the probability of replication for an F, t, or r and estimate effect size

Find correlations of composite variables from a larger matrix

Item Response Theory estimate of theta (ability) using a Rasch (like) model

Apply the Schmid Leiman transformation to a correlation matrix

Apply the Very Simple Structure criterion to determine the appropriate number of factors.

Multiple histograms on one screen

``Hand" rotate a factor loading matrix

Basic summary statistics by group

factor.residuals

Find R = F F' + U2 is the basic factor model

How well does the factor model fit a correlation matrix. Part of the VSS package

Find the phi coefficient of correlation between two dichotomous variables

score.multiple.choice

Score multiple choice items and provide basic test statistics

Test the difference between paired correlations

Calculate the omega estimate of factor saturation

shortcut for reading from the clipboard

Score scales and find Cronbach's alpha as well as associated statistics

matrix.addition

A function to add two vectors or matrices

create VSS like data

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

Find polychoric correlations of item data

Find the geometric mean of a vector or columns of a data.frame.

Calculate skew for a vector, matrix, or data.frame

14 multiple choice IQ items

Testing of functions in the psych package

polychor.matrix

Actually, what does this do? Convert a matrix of phi coefficients to a matrix of polycoric correlations

Principal components analysis

SPLOM, histograms and correlations for a data matrix

Graph hierarchical factor structures

Count number of pairwise cases for a data set with missing (NA) data.

3 Measures of ability: SATV, SATQ, ACT

Create demo data for psychometrics

Sort items by absolute size of cluster loadings

Fisher z transform of r

make.hierarchical

Create a population or sample correlation matrix with hierachical structure.