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psych (version 1.0-77)

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

234,991

Version

1.0-77

License

GPL (>= 2)

Maintainer

William Revelle

Last Published

July 27th, 2009

Functions in psych (1.0-77)

cortest.mat

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

Plot the successive eigen values for a scree test
cta

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

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

Combine calls to head and tail
SD

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

Apply four tests of circumplex versus simple structure
00.psych

A package for personality, psychometric, and psychological research
fa.graph

Graph factor loading matrices
factor.model

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

Seven data sets showing a bifactor solution.
fa

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

Multiple Regression from matrix input
VSS.parallel

Compare real and random VSS solutions
irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts
error.crosses

Plot x and y error bars
describe.by

Basic summary statistics by group
VSS

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

Find the phi coefficient of correlation between two dichotomous variables
omega

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

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

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

Alternative estimates of test reliabiity
bfi

25 Personality items representing 5 factors
structure.list

Create factor model matrices from an input list
ICLUST.sort

Sort items by absolute size of cluster loadings
irt.1p

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

Find polychoric correlations of item data
super.matrix

Form a super matrix from two sub matrices.
epi.bfi

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

14 multiple choice IQ items
sim.structure

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

Distances between 11 US cities
factor2cluster

Extract cluster definitions from factor loadings
alpha

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

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

Count number of pairwise cases for a data set with missing (NA) data.
phi2poly

Convert a phi coefficient to a polychoric correlation
VSS.plot

Plot VSS fits
cluster.fit

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

create control code for ICLUST graphical output
cluster.cor

Find correlations of composite variables from a larger matrix
multi.hist

Multiple histograms with density and normal fits on one page
geometric.mean

Find the geometric mean of a vector or columns of a data.frame.
cluster2keys

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

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

Functions for analysis of circadian or diurnal data
rescale

Function to convert scores to ``conventional " metrics
ICC

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

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

Print and summary functions for the psych class
mat.sort

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

create VSS like data
eigen.loadings

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

Plot means and confidence intervals
corr.test

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

Galton`s Peas
p.rep

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

Draw a structural equation model specified by two measurement models and a structural model
cortest.bartlett

Bartlett's test that a correlation matrix is an identity matrix
ICLUST.rgraph

Draw an ICLUST graph using the Rgraphviz package
tr

Find the trace of a square matrix
phi.demo

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

NEO correlation matrix from the NEO_PI_R manual
winsor

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

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

Plotting functions for the psych package of class ``psych"
cluster.plot

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

Tests of significance for correlations
read.clipboard

shortcut for reading from the clipboard
make.keys

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

Find dis-attenuated correlations given correlations and reliabilities
score.multiple.choice

Score multiple choice items and provide basic test statistics
harmonic.mean

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

Basic descriptive statistics useful for psychometrics
factor.fit

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

Coefficient of factor congruence
polar

Convert Cartesian factor loadings into polar coordinates
score.alpha

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

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

Function to form hierarchical cluster analysis of items
schmid

Apply the Schmid Leiman transformation to a correlation matrix
omega.graph

Graph hierarchical factor structures
galton

Galton's Mid parent child height data
test.psych

Testing of functions in the psych package
sim.hierarchical

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

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

A function to add two vectors or matrices
principal

Principal components analysis
ellipses

Plot data and 1 and 2 sigma correlation ellipses
fisherz

Fisher r to z and z to r and confidence intervals
Promax

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

Functions to simulate psychological/psychometric data.
msq

75 mood items from the Motivational State Questionnaire for 3896 participants
cor.plot

Create an image plot for a correlation or factor matrix
cluster.loadings

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

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

Generate simulated data structures for circumplex or simple structure
score.items

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

SPLOM, histograms and correlations for a data matrix
sim.congeneric

Simulate a congeneric data set
vegetables

Paired comparison of preferences for 9 vegetables
sim.anova

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

R* = R- F F'
thurstone

Thurstone Case V scaling
comorbidity

Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics
table2matrix

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

Plot means and confidence intervals for multiple groups
fa.parallel

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

``Hand" rotate a factor loading matrix
skew

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

3 Measures of ability: SATV, SATQ, ACT
paired.r

Test the difference between (un)paired correlations
polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix
simulation.circ

Simulations of circumplex and simple structure