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psych (version 1.0-83)

Procedures for Psychological, Psychometric, and Personality 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. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. For more information, see the personality-project.org/r webpage.

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Version

Install

install.packages('psych')

Monthly Downloads

171,853

Version

1.0-83

License

GPL (>= 2)

Maintainer

William Revelle

Last Published

October 26th, 2009

Functions in psych (1.0-83)

ICLUST.rgraph

Draw an ICLUST graph using the Rgraphviz package
fa.sort

Sort factor analysis or principal components analysis loadings
cor.plot

Create an image plot for a correlation or factor matrix
error.bars.by

Plot means and confidence intervals for multiple groups
Harman

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

Plot data and 1 and 2 sigma correlation ellipses
comorbidity

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

Find dis-attenuated correlations given correlations and reliabilities
dia.rect

Helper functions for drawing path model diagrams
fisherz

Fisher r to z and z to r and confidence intervals
galton

Galton's Mid parent child height data
SD

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

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

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

Find correlations of composite variables from a larger matrix
ICLUST

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

Coefficient of factor congruence
peas

Galton`s Peas
VSS.plot

Plot VSS fits
describe

Basic descriptive statistics useful for psychometrics
describe.by

Basic summary statistics by group
cubits

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

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

Compare real and random VSS solutions
ICLUST.sort

Sort items by absolute size of cluster loadings
cosinor

Functions for analysis of circadian or diurnal data
make.keys

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

Perform promax or targeted rotations and return the inter factor angles
VSS

Apply the Very Simple Structure and MAP criteria to determine the appropriate number of factors.
factor.model

Find R = F F' + U2 is the basic factor model
cluster2keys

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

Graph hierarchical factor structures
eigen.loadings

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

Bartlett's test that a correlation matrix is an identity matrix
factor2cluster

Extract cluster definitions from factor loadings
factor.rotate

``Hand" rotate a factor loading matrix
bifactor

Seven data sets showing a bifactor solution.
principal

Principal components analysis
circ.tests

Apply four tests of circumplex versus simple structure
phi

Find the phi coefficient of correlation between two dichotomous variables
sim.hierarchical

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

13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
bfi

25 Personality items representing 5 factors
irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts
test.psych

Testing of functions in the psych package
irt.1p

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

Simulations of circumplex and simple structure
cortest.mat

Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
table2matrix

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

Function to form hierarchical cluster analysis of items
factor.residuals

R* = R- F F'
VSS.scree

Plot the successive eigen values for a scree test
heights

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

SPLOM, histograms and correlations for a data matrix
ICLUST.graph

create control code for ICLUST graphical output
msq

75 mood items from the Motivational State Questionnaire for 3896 participants
Schmid

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

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

Multiple Regression from matrix input
cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability
omega

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

Find polychoric correlations of item data
00.psych

A package for personality, psychometric, and psychological research
multi.hist

Multiple histograms with density and normal fits on one page
sat.act

3 Measures of ability: SATV, SATQ, ACT
geometric.mean

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

A function to add two vectors or matrices
read.clipboard

shortcut for reading from the clipboard
fa

Factor analysis by Principal Axis, MinRes (minimum residual), Weighted Least Squares or Maximum Likelihood
iqitems

14 multiple choice IQ items
p.rep

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

Generate simulated data structures for circumplex or simple structure
sim.anova

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

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

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

Plot x and y error bars
error.bars

Plot means and confidence intervals
count.pairwise

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

Distances between 11 US cities
corr.test

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

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

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

NEO correlation matrix from the NEO_PI_R manual
score.multiple.choice

Score multiple choice items and provide basic test statistics
skew

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

Function to convert scores to ``conventional " metrics
thurstone

Thurstone Case V scaling
sim

Functions to simulate psychological/psychometric data.
mat.sort

Sort the elements of a correlation matrix to reflect factor loadings
sim.congeneric

Simulate a congeneric data set
structure.graph

Draw a structural equation model specified by two measurement models and a structural model
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
harmonic.mean

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

Alternative estimates of test reliabiity
print.psych

Print and summary functions for the psych class
score.items

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

A simple demonstration of the Pearson, phi, and polychoric corelation
super.matrix

Form a super matrix from two sub matrices.
phi2poly

Convert a phi coefficient to a polychoric correlation
smc

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

Convert Cartesian factor loadings into polar coordinates
paired.r

Test the difference between (un)paired correlations
r.test

Tests of significance for correlations
plot.psych

Plotting functions for the psych package of class ``psych"
partial.r

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

Find the trace of a square matrix
structure.list

Create factor model matrices from an input list
vegetables

Paired comparison of preferences for 9 vegetables
sim.structure

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

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

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

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

Graph factor loading matrices
factor.fit

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

Combine calls to head and tail
iclust.diagram

Draw an ICLUST hierarchical cluster structure diagram
sim.VSS

create VSS like data