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psych (version 1.0-63)

Procedures for Personality, Psychometric, and Psychological Research

Description

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

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Install

install.packages('psych')

Monthly Downloads

133,643

Version

1.0-63

License

GPL version 2 or newer

Maintainer

William Revelle

Last Published

June 23rd, 2025

Functions in psych (1.0-63)

guttman

Alternative estimates of test reliabiity
Yule

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

Apply the Very Simple Structure and MAP criteria to determine the appropriate number of factors.
eigen.loadings

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

Two data sets showing a bifactor solution.
fa.parallel

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

Plot data and 1 and 2 sigma correlation ellipses
interp.median

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

Bartlett's test that a correlation matrix is an identity matrix
epi.bfi

13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
cluster.cor

Find correlations of composite variables from a larger matrix
error.crosses

Plot x and y error bars
harmonic.mean

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

A function to add two vectors or matrices
VSS.scree

Plot a scree test
omega

Calculate the omega estimate of factor saturation
omega.graph

Graph hierarchical factor structures
cubits

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

Function to form hierarchical cluster analysis of items
SD

Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases
VSS.plot

Plot VSS fits
comorbidity

Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics
galton

Galton's Mid parent child height data
structure.graph

Draw a structural equation model specified by two measurement models and a structural model
ICLUST.graph

create control code for ICLUST graphical output
error.bars

Plot means and confidence intervals
cosinor

Functions for analysis of circadian or diurnal data
peas

Galton`s Peas
irt.1p

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

Functions to simulate psychological/psychometric data
factor.residuals

R* = R- F F'
circ.tests

Apply four tests of circumplex versus simple structure
correct.cor

Find dis-attenuated correlations given correlations and reliabilities
scaling.fits

Test the adequacy of simple choice, logistic, or Thurstonian scaling.
fisherz

Fisher r to z and z to r and confidence intervals
vegetables

Paired comparison of preferences for 9 vegetables
count.pairwise

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

Perform promax rotation and return the inter factor angles
cortest.mat

Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
mat.regress

Multiple Regression from matrix input
factor2cluster

Extract cluster definitions from factor loadings
VSS.parallel

Compare real and random VSS solutions
print.psych

Print and summary functions for the psych class
iqitems

14 multiple choice IQ items
factor.congruence

Coefficient of factor congruence
cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability
irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts
multi.hist

Multiple histograms with density and normal fits on one page
factor.pa

Principal Axis Factor Analysis
winsor

Find the Winsorized scores or means for a vector, matrix, or data.frame
headtail

Combine calls to head and tail
principal

Principal components analysis
polar

Convert Cartesian factor loadings into polar coordinates
super.matrix

Form a super matrix from two sub matrices.
phi

Find the phi coefficient of correlation between two dichotomous variables
cluster.fit

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

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

25 Personality items representing 5 factors
factor.fit

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

Sort items by absolute size of cluster loadings
sim.structural

Create correlation matrices or data matrices with a particular measurement and structural model
cluster2keys

Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters.
describe.by

Basic summary statistics by group
read.clipboard

shortcut for reading from the clipboard
describe

Basic descriptive statistics useful for psychometrics
sim.congeneric

Simulate a congeneric data set
ICC

Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss)
cities

Distances between 11 US cities
ICLUST

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

Draw an ICLUST graph using the Rgraphviz package
wkappa

Find Cohen's kappa and weighted kappa coefficients for correlation of two raters
score.items

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

Create a keys matrix for use by score.items or cluster.cor
thurstone

Thurstone Case V scaling
schmid

Apply the Schmid Leiman transformation to a correlation matrix
r.test

Tests of significance for correlations
test.psych

Testing of functions in the psych package
tr

Find the trace of a square matrix
phi2poly

Convert a phi coefficient to a polychoric correlation
factor.rotate

``Hand" rotate a factor loading matrix
fa.graph

Graph factor loading matrices
smc

Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix
phi.demo

Create demo data for psychometrics
rescale

Function to convert scores to ``conventional " metrics
sim.item

Generate simulated data structures for circumplex or simple structure
skew

Calculate skew or kurtosis for a vector, matrix, or data.frame
structure.list

Create factor model matrices from an input list
geometric.mean

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

Score multiple choice items and provide basic test statistics
partial.r

Find the partial correlations for a set (x) of variables with set (y) removed.
paired.r

Test the difference between (un)paired correlations
pairs.panels

SPLOM, histograms and correlations for a data matrix
poly.mat

Find polychoric correlations of item data
alpha.scale

Cronbach alpha for a scale
sim.VSS

create VSS like data
error.bars.by

Plot means and confidence intervals for multiple groups
heights

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

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

Score scales and find Cronbach's alpha as well as associated statistics
table2matrix

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

Simulations of circumplex and simple structure
plot.psych

Plotting functions for the psych package of class ``psych"
sat.act

3 Measures of ability: SATV, SATQ, ACT
cluster.plot

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

Phi or Yule coefficient matrix to polychoric coefficient matrix
psych

A package for personality, psychometric, and psychological research
sim.hierarchical

Create a population or sample correlation matrix, perhaps with hierarchical structure.