`install.packages('psych')`

150,960

2.4.3

GPL (>= 2)

March 18th, 2024

Garcia

Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010)

Gleser

Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.

Gorsuch

Example data set from Gorsuch (1997) for an example factor extension.

Harman

Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt

iclust

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

ICC

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

00.psych

A package for personality, psychometric, and psychological research

ICLUST.graph

create control code for ICLUST graphical output

ICLUST.cluster

Function to form hierarchical cluster analysis of items

Promax

Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles.

KMO

Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy

Tucker

9 Cognitive variables discussed by Tucker and Lewis (1973)

VSS

Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors.

Pinv

Compute the Moore-Penrose Pseudo Inverse of a matrix

ICLUST.rgraph

Draw an ICLUST graph using the Rgraphviz package

SD

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

Schmid

12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation

AUC

Decision Theory measures of specificity, sensitivity, and d prime

alpha

Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.

RMSEA

Root Mean Squared Error of Approximation from chisq, df, and n

ICLUST.sort

Sort items by absolute size of cluster loadings

bfi

25 Personality items representing 5 factors

anova.psych

Model comparison for regression, mediation, and factor analysis

bi.bars

Draw pairs of bargraphs based on two groups

VSS.scree

Plot the successive eigen values for a scree test

bassAckward

The Bass-Ackward factoring algorithm discussed by Goldberg

bestScales

A bootstrap aggregation function for choosing most predictive unit weighted items

Yule

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

VSS.parallel

Compare real and random VSS solutions

VSS.plot

Plot VSS fits

Bechtoldt

Seven data sets showing a bifactor solution.

biplot.psych

Draw biplots of factor or component scores by factor or component loadings

cattell

12 cognitive variables from Cattell (1963)

bock

Bock and Liberman (1970) data set of 1000 observations of the LSAT

circ.tests

Apply four tests of circumplex versus simple structure

block.random

Create a block randomized structure for n independent variables

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

bigCor

Find large correlation matrices by stitching together smaller ones found more rapidly

corPlot

Create an image plot for a correlation or factor matrix

cor.wt

The sample size weighted correlation may be used in correlating aggregated data

cor2dist

Convert correlations to distances (necessary to do multidimensional scaling of correlation data)

cluster.fit

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

cor.smooth

Smooth a non-positive definite correlation matrix to make it positive definite

densityBy

Create a 'violin plot' or density plot of the distribution of a set of variables

cortest.bartlett

Bartlett's test that a correlation matrix is an identity matrix

cluster2keys

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

correct.cor

Find dis-attenuated correlations given correlations and reliabilities

cluster.plot

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

fa.poly

Deprecated Exploratory Factor analysis functions. Please use fa

congruence

Matrix and profile congruences and distances

pairwiseCount

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

corCi

Bootstrapped and normal confidence intervals for raw and composite correlations

cta

Simulate the C(ues) T(endency) A(ction) model of motivation

diagram

Helper functions for drawing path model diagrams

corFiml

Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data

corTest

Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame.

describeBy

Basic summary statistics by group

dummy.code

Create dummy coded variables

describe

Basic descriptive statistics useful for psychometrics

Dwyer

8 cognitive variables used by Dwyer for an example.

scoreOverlap

Find correlations of composite variables (corrected for overlap) from a larger matrix.

error.bars

Plot means and confidence intervals

error.bars.by

Plot means and confidence intervals for multiple groups

draw.tetra

Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation

cohen.d

Find Cohen d and confidence intervals

comorbidity

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

cortest

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

cosinor

Functions for analysis of circadian or diurnal data

fa

Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood

error.dots

Show a dot.chart with error bars for different groups or variables

fa.diagram

Graph factor loading matrices

fa.parallel

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

fa.random

A first approximation to Random Effects Exploratory Factor Analysis

esem

Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques

eigen.loadings

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

fa.sort

Sort factor analysis or principal components analysis loadings

errorCircles

Two way plots of means, error bars, and sample sizes

faCor

Correlations between two factor analysis solutions

fa.multi

Multi level (hierarchical) factor analysis

ellipses

Plot data and 1 and 2 sigma correlation ellipses

error.crosses

Plot x and y error bars

fa.extension

Apply Dwyer's factor extension to find factor loadings for extended variables

factor.model

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

factor.residuals

R* = R- F F'

faRotations

Multiple rotations of factor loadings to find local minima

fa.lookup

A set of functions for factorial and empirical scale construction

splitHalf

Alternative estimates of test reliabiity

fisherz

Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals

headTail

Combine calls to head and tail

harmonic.mean

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

factor.congruence

Coefficient of factor congruence

factor.rotate

``Hand" rotate a factor loading matrix

iclust.diagram

Draw an ICLUST hierarchical cluster structure diagram

factor.fit

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

factor.scores

Various ways to estimate factor scores for the factor analysis model

mediate

Estimate and display direct and indirect effects of mediators and moderator in path models

logistic

Logistic transform from x to p and logit transform from p to x

cohen.kappa

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

fparse

Parse and exten formula input from a model and return the DV, IV, and associated terms.

lmCor

Multiple Regression, Canonical and Set Correlation from matrix or raw input

geometric.mean

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

multi.hist

Multiple histograms with density and normal fits on one page

psych.misc

Miscellaneous helper functions for the psych package

multilevel.reliability

Find and plot various reliability/gneralizability coefficients for multilevel data

glb.algebraic

Find the greatest lower bound to reliability.

factor.stats

Find various goodness of fit statistics for factor analysis and principal components

outlier

Find and graph Mahalanobis squared distances to detect outliers

r.test

Tests of significance for correlations

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

factor2cluster

Extract cluster definitions from factor loadings

interp.median

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

lowerUpper

Combine two square matrices to have a lower off diagonal for one, upper off diagonal for the other

p.rep

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

rangeCorrection

Correct correlations for restriction of range. (Thorndike Case 2)

mat.sort

Sort the elements of a correlation matrix to reflect factor loadings

reliability

Reports 7 different estimates of scale reliabity including alpha, omega, split half

matrix.addition

A function to add two vectors or matrices

predict.psych

Prediction function for factor analysis, principal components (pca), bestScales

irt.fa

Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations

paired.r

Test the difference between (un)paired correlations

phi

Find the phi coefficient of correlation between two dichotomous variables

irt.1p

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

irt.responses

Plot probability of multiple choice responses as a function of a latent trait

make.keys

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

phi.demo

A simple demonstration of the Pearson, phi, and polychoric corelation

scatterHist

Draw a scatter plot with associated X and Y histograms, densities and correlation

manhattan

"Manhattan" plots of correlations with a set of criteria.

kaiser

Apply the Kaiser normalization when rotating factors

pairs.panels

SPLOM, histograms and correlations for a data matrix

mixedCor

Find correlations for mixtures of continuous, polytomous, and dichotomous variables

schmid

Apply the Schmid Leiman transformation to a correlation matrix

omega

Calculate McDonald's omega estimates of general and total factor saturation

rescale

Function to convert scores to ``conventional
" metrics

mssd

Find von Neuman's Mean Square of Successive Differences

scoreItems

Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations

predicted.validity

Find the predicted validities of a set of scales based on item statistics

sim.anova

Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures.

phi2tetra

Convert a phi coefficient to a tetrachoric correlation

score.multiple.choice

Score multiple choice items and provide basic test statistics

scoreWtd

Score items using regression or correlation based weights

omega.graph

Graph hierarchical factor structures

smc

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

scrub

A utility for basic data cleaning and recoding. Changes values outside of minimum and maximum limits to NA.

sim.omega

Further functions to simulate psychological/psychometric data.

sim.structure

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

plot.psych

Plotting functions for the psych package of class ``psych"

score.alpha

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

scoreIrt

Find Item Response Theory (IRT) based scores for dichotomous or polytomous items

parcels

Find miniscales (parcels) of size 2 or 3 from a set of items

spider

Make "radar" or "spider" plots.

structure.list

Create factor model matrices from an input list

sim

Functions to simulate psychological/psychometric data.

sim.VSS

create VSS like data

statsBy

Find statistics (including correlations) within and between groups for basic multilevel analyses

partial.r

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

sim.congeneric

Simulate a congeneric data set with or without minor factors

superMatrix

Form a super matrix from two sub matrices.

withinBetween

An example of the distinction between within group and between group correlations

polar

Convert Cartesian factor loadings into polar coordinates

thurstone

Thurstone Case V scaling

structure.diagram

Draw a structural equation model specified by two measurement models and a structural model

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

tr

Find the trace of a square matrix

unidim

Several indices of the unidimensionality of a set of variables.

principal

Principal components analysis (PCA)

testRetest

Find various test-retest statistics, including test, person and item reliability

sat.act

3 Measures of ability: SATV, SATQ, ACT

winsor

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

print.psych

Print and summary functions for the psych class

tetrachoric

Tetrachoric, polychoric, biserial and polyserial correlations from various types of input

scaling.fits

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

sim.hierarchical

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

residuals.psych

Extract residuals from various psych objects

sim.irt

Functions to simulate psychological/psychometric data.

sim.item

Generate simulated data structures for circumplex, spherical, or simple structure

sim.multilevel

Simulate multilevel data with specified within group and between group correlations

reverse.code

Reverse the coding of selected items prior to scale analysis

table2matrix

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

Tal_Or

Data set testing causal direction in presumed media influence

simulation.circ

Simulations of circumplex and simple structure

mardia

Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame

test.irt

A simple demonstration (and test) of various IRT scoring algorthims.

test.psych

Testing of functions in the psych package