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psych (version 1.0-42)

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 provide basic descriptive statistics. For more information, see the personality-project.org/r.

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Version

Install

install.packages('psych')

Monthly Downloads

186,036

Version

1.0-42

License

GPL version 2 or newer

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

June 23rd, 2025

Functions in psych (1.0-42)

Combine calls to head and tail

From a two by two table, find the Yule coefficient, convert to phi, or polychoric, recreate table the table to create the Yule coefficient.

Graph hierarchical factor structures

Create demo data for psychometrics

A package for personality, psychometric, and psychological research

Sort items by absolute size of cluster loadings

Function to form hierarchical cluster analysis of items

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

Galton's Mid parent child height data

Plot a scree test

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

Plot data and 1 and 2 sigma correlation ellipses

circ.simulation

Simulations of circumplex and simple structure

Plot means and confidence intervals for multiple groups

Apply four tests of circumplex versus simple structure

Test the difference between (un)paired correlations

Multiple Regression from matrix input

create control code for ICLUST graphical output

25 Personality items representing 5 factors

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

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

Find dis-attenuated correlations and give alpha reliabilities

Draw an ICLUST graph using the Rgraphviz package

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

Plot x and y error bars

Calculate the omega estimate of factor saturation

create VSS like data

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

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

shortcut for reading from the clipboard

Compare real and random VSS solutions

Graph factor loading matrices

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

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

Find the phi coefficient of correlation between two dichotomous variables

factor.congruence

Coefficient of factor congruence

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

Apply the Schmid Leiman transformation to a correlation matrix

Galton's example of the relationship between height and 'cubit' or forearm length

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

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Cronbach alpha for a scale

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

Generate simulated data structures for circumplex or simple structure

A data.frame of the Galton (1888) height and cubit data set.

Plot means and confidence intervals

``Hand" rotate a factor loading matrix

Fisher r to z and z to r and confidence intervals

Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame

Extract cluster definitions from factor loadings

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

Basic descriptive statistics useful for psychometrics

Principal Axis Factor Analysis

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

Find correlations of composite variables from a larger matrix

Convert Cartesian factor loadings into polar coordinates

factor.residuals

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

3 Measures of ability: SATV, SATQ, ACT

Convert a phi coefficient to a polychoric correlation

Multiple histograms with density and normal fits on one page

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

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

make.hierarchical

Create a population or sample correlation matrix with hierachical structure.

Tests of significance for correlations

Find polychoric correlations of item data

matrix.addition

A function to add two vectors or matrices

score.multiple.choice

Score multiple choice items and provide basic test statistics

Find the Winsorized mean for a vector, matrix, or data.frame

Convert a table with counts to a matrix or data.frame representing those counts.

14 multiple choice IQ items

Principal components analysis

Testing of functions in the psych package

Kurtosis of a vector, matrix, or data frame

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

Simulate a congeneric data set

Basic summary statistics by group

SPLOM, histograms and correlations for a data matrix

Function to convert scores to ``conventional " metrics