All functions
00.psych	A package for personality, psychometric, and psychological research
data	16 ability items scored as correct or incorrect.
data	Two data sets of affect and arousal scores as a function of personality and movie conditions
alpha	Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.
bestScales bestItems lookup fa.lookup item.lookup keys.lookup	A set of functions for factorial and empirical scale construction
data	25 Personality items representing 5 factors
bi.bars	Draw pairs of bargraphs based on two groups
data	Seven data sets showing a bifactor solution.
biplot	Draw biplots of factor or component scores by factor or component loadings
block.random	Create a block randomized structure for n independent variables
data	Bond's Logical Operations Test -- BLOT
data	Bock and Liberman (1970) data set of 1000 observations of the LSAT
data	11 emotional variables from Burt (1915)
data	12 cognitive variables from Cattell (1963)
circ.tests	Apply four tests of circumplex versus simple structure
data	Distances between 11 US cities
scoreOverlap cluster.cor	Find correlations of composite variables (corrected for overlap) from a larger matrix.
cluster.fit	cluster Fit: fit of the cluster model to a correlation matrix
cluster.loadings	Find item by cluster correlations, corrected for overlap and reliability
cluster.plot fa.plot factor.plot	Plot factor/cluster loadings and assign items to clusters by their highest loading.
cluster2keys	Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters.
comorbidity	Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics
cor.ci corCi	Bootstrapped confidence intervals for raw and composite correlations
corPlot cor.plot cor.plot.upperLowerCi	Create an image plot for a correlation or factor matrix
cor.smooth cor.smoother	Smooth a non-positive definite correlation matrix to make it positive definite
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)
corFiml	Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data
corr.test corr.p	Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame.
correct.cor	Find dis-attenuated correlations given correlations and reliabilities
cortest.bartlett	Bartlett's test that a correlation matrix is an identity matrix
cortest.normal cortest cortest.jennrich cortest.mat	Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
cosinor cosinor.plot cosinor.period circadian.phase circadian.mean circadian.sd circadian.stats circadian.F circadian.reliability circular.mean circadian.cor circular.cor circadian.linear.cor	Functions for analysis of circadian or diurnal data
count.pairwise pairwiseDescribe	Count number of pairwise cases for a data set with missing (NA) data.
cta cta.15	Simulate the C(ues) T(endency) A(ction) model of motivation
data	Galton's example of the relationship between height and 'cubit' or forearm length
data	A data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908)
densityBy violinBy	Create a 'violin plot' or density plot of the distribution of a set of variables
fa.poly factor.minres factor.wls	Deprecated Exploratory Factor analysis functions. Please use fa
describeBy describe.by	Basic summary statistics by group
describe describeData	Basic descriptive statistics useful for psychometrics
df2latex cor2latex fa2latex omega2latex irt2latex ICC2latex	Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
dfOrder	Sort (order) a dataframe or matrix by multiple columns
diagram dia.rect dia.ellipse dia.triangle dia.ellipse1 dia.shape dia.arrow dia.curve dia.curved.arrow dia.self dia.cone	Helper functions for drawing path model diagrams
draw.tetra draw.cor	Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation
dummy.code	Create dummy coded variables
data	8 cognitive variables used by Dwyer for an example.
eigen.loadings	Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings
ellipses minkowski	Plot data and 1 and 2 sigma correlation ellipses
data	13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
data	Eysenck Personality Inventory (EPI) data for 3570 participants
error.bars.by	Plot means and confidence intervals for multiple groups
error.bars error.bars.tab	Plot means and confidence intervals
errorCircles	Two way plots of means, error bars, and sample sizes
error.crosses	Plot x and y error bars
error.dots	Show a dot.chart with error bars for different groups or variables
esem esem.diagram interbattery	Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques
fa.diagram het.diagram fa.graph fa.rgraph	Graph factor loading matrices
fa.extension fa.extend	Apply Dwyer's factor extension to find factor loadings for extended variables
fa.parallel fa.parallel.poly plot	Scree plots of data or correlation matrix compared to random ``parallel" matrices
fa fac	Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
fa.sort fa.organize	Sort factor analysis or principal components analysis loadings
factor.congruence fa.congruence	Coefficient of factor congruence
factor.fit	How well does the factor model fit a correlation matrix. Part of the VSS package
factor.model	Find R = F F' + U2 is the basic factor model
factor.residuals	R* = R- F F'
factor.rotate	``Hand" rotate a factor loading matrix
factor.scores	Various ways to estimate factor scores for the factor analysis model
fa.stats factor.stats	Find various goodness of fit statistics for factor analysis and principal components
factor2cluster	Extract cluster definitions from factor loadings
fa.multi fa.multi.diagram	Multi level (hierarchical) factor analysis
fisherz fisherz2r r.con r2t r2d d2r t2r g2r chi2r r2chi r2c cor2cov	Transformations of r including Fisher r to z and z to r and confidence intervals
data	Galton's Mid parent child height data
geometric.mean	Find the geometric mean of a vector or columns of a data.frame.
glb.algebraic	Find the greatest lower bound to reliability.
data	Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.
data	Example data set from Gorsuch (1997) for an example factor extension.
splitHalf guttman tenberge glb glb.fa	Alternative estimates of test reliabiity
data	5 socio-economic variables from Harman (1967)
data	Correlations of eight physical variables (from Harman, 1966)
data	Eight political variables used by Harman (1967) as example 8.17
data	Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
harmonic.mean	Find the harmonic mean of a vector, matrix, or columns of a data.frame
headTail headtail topBottom quickView	Combine calls to head and tail
data	A data.frame of the Galton (1888) height and cubit data set.
ICC	Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss)
ICLUST.cluster	Function to form hierarchical cluster analysis of items
iclust.diagram	Draw an ICLUST hierarchical cluster structure diagram
ICLUST.graph	create control code for ICLUST graphical output
iclust ICLUST	iclust: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles
ICLUST.rgraph	Draw an ICLUST graph using the Rgraphviz package
ICLUST.sort	Sort items by absolute size of cluster loadings
data	US family income from US census 2008
interp.median interp.quantiles interp.quartiles interp.boxplot interp.values interp.qplot.by	Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
data	16 multiple choice IQ items
irt.fa irt.select fa2irt	Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations
irt.item.diff.rasch irt.discrim	Simple function to estimate item difficulties using IRT concepts
irt.person.rasch irt.0p irt.1p irt.2p	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
kaiser	Apply the Kaiser normalization when rotating factors
cohen.kappa wkappa	Find Cohen's kappa and weighted kappa coefficients for correlation of two raters
KMO	Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy
logistic logit logistic.grm	Logistic transform from x to p and logit transform from p to x
lowerUpper	Combine two square matrices to have a lower off diagonal for one, upper off diagonal for the other
make.keys keys2list	Create a keys matrix for use by score.items or cluster.cor
mat.sort	Sort the elements of a correlation matrix to reflect factor loadings
%+%	A function to add two vectors or matrices
mediate mediate.diagram moderate.diagram	Estimate and display direct and indirect effects of mediators and moderator in path models
psych.misc lowerCor cor2 lowerMat tableF reflect progressBar shannon test.all levels2numeric char2numeric isCorrelation	Miscellaneous helper functions for the psych package
mixedCor mixed.cor	Find correlations for mixtures of continuous, polytomous, and dichotomous variables
data	75 mood items from the Motivational State Questionnaire for 3896 participants
mssd rmssd autoR	Find von Neuman's Mean Square of Successive Differences
multi.hist histBy	Multiple histograms with density and normal fits on one page
mlr mlArrange mlPlot multilevel.reliability	Find and plot various reliability/gneralizability coefficients for multilevel data
data	NEO correlation matrix from the NEO_PI_R manual
omega.diagram omega.graph	Graph hierarchical factor structures
omega omegaSem omegah omegaFromSem	Calculate McDonald's omega estimates of general and total factor saturation
outlier	Find and graph Mahalanobis squared distances to detect outliers
p.rep p.rep.f p.rep.r p.rep.t	Find the probability of replication for an F, t, or r and estimate effect size
paired.r	Test the difference between (un)paired correlations
pairs.panels	SPLOM, histograms and correlations for a data matrix
parcels keysort	Find miniscales (parcels) of size 2 or 3 from a set of items
partial.r	Find the partial correlations for a set (x) of variables with set (y) removed.
data	Galton`s Peas
phi.demo	A simple demonstration of the Pearson, phi, and polychoric corelation
phi	Find the phi coefficient of correlation between two dichotomous variables
phi2tetra phi2poly	Convert a phi coefficient to a tetrachoric correlation
plot	Plotting functions for the psych package of class ``psych"
polar	Convert Cartesian factor loadings into polar coordinates
Yule2poly.matrix phi2poly.matrix Yule2phi.matrix	Phi or Yule coefficient matrix to polychoric coefficient matrix
predict	Prediction function for factor analysis or principal components
principal	Principal components analysis (PCA)
print summary anova	Print and summary functions for the psych class
bifactor biquartimin TargetQ Promax target.rot varimin vgQ.bimin vgQ.targetQ vgQ.varimin equamax	Perform bifactor, promax or targeted rotations and return the inter factor angles.
r.test	Tests of significance for correlations
rangeCorrection	Correct correlations for restriction of range. (Thorndike Case 2)
read.file read.clipboard read.clipboard.csv read.clipboard.tab read.clipboard.lower read.clipboard.upper read.clipboard.fwf read.https read.file.csv write.file write.file.csv	Shortcuts for reading from the clipboard or a file
rescale	Function to convert scores to ``conventional " metrics
residuals resid	Extract residuals from various psych objects
reverse.code	Reverse the coding of selected items prior to scale analysis
data	3 Measures of ability: SATV, SATQ, ACT
scaling.fits	Test the adequacy of simple choice, logistic, or Thurstonian scaling.
scatterHist scatter.hist	Draw a scatter plot with associated X and Y histograms, densities and correlation
data	12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
schmid	Apply the Schmid Leiman transformation to a correlation matrix
data	The Schutz correlation matrix example from Shapiro and ten Berge
score.alpha	Score scales and find Cronbach's alpha as well as associated statistics
scoreIrt scoreIrt.1pl scoreIrt.2pl score.irt score.irt.2 score.irt.poly irt.stats.like irt.tau irt.se	Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
scoreItems score.items scoreFast response.frequencies	Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations
score.multiple.choice	Score multiple choice items and provide basic test statistics
scrub	A utility for basic data cleaning and recoding. Changes values outside of minimum and maximum limits to NA.
SD	Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases
setCor setCor.diagram set.cor mat.regress matReg	Set Correlation and Multiple Regression from matrix or raw input
sim.anova	Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures.
sim.congeneric	Simulate a congeneric data set
sim.hierarchical make.hierarchical	Create a population or sample correlation matrix, perhaps with hierarchical structure.
sim.item sim.circ sim.dichot item.dichot sim.spherical con2cat	Generate simulated data structures for circumplex, spherical, or simple structure
sim.multi sim.multilevel	Simulate multilevel data with specified within group and between group correlations
sim sim.simplex sim.general sim.minor sim.omega sim.parallel sim.rasch sim.irt sim.npl sim.npn sim.poly sim.poly.npn sim.poly.npl sim.poly.ideal sim.poly.ideal.npn sim.poly.ideal.npl sim.poly.mat	Functions to simulate psychological/psychometric data.
sim.structure sim.structural sim.correlation	Create correlation matrices or data matrices with a particular measurement and structural model
sim.VSS	create VSS like data
simulation.circ circ.sim.plot	Simulations of circumplex and simple structure
skew kurtosi mardia	Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame
smc	Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix
spider radar	Make "radar" or "spider" plots.
statsBy statsBy.boot statsBy.boot.summary faBy	Find statistics (including correlations) within and between groups for basic multilevel analyses
structure.diagram structure.graph structure.sem lavaan.diagram	Draw a structural equation model specified by two measurement models and a structural model
structure.list phi.list	Create factor model matrices from an input list
superMatrix super.matrix	Form a super matrix from two sub matrices.
table2matrix table2df	Convert a table with counts to a matrix or data.frame representing those counts.
test.irt	A simple demonstration (and test) of various IRT scoring algorthims.
test.psych	Testing of functions in the psych package
tetrachoric polychoric biserial polyserial polydi poly.mat	Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
thurstone	Thurstone Case V scaling
tr	Find the trace of a square matrix
data	9 Cognitive variables discussed by Tucker and Lewis (1973)
unidim	Several indices of the unidimensionality of a set of variables.
data	Paired comparison of preferences for 9 vegetables
VSS.parallel	Compare real and random VSS solutions
VSS.plot	Plot VSS fits
vss VSS nfactors	Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors.
scree VSS.scree	Plot the successive eigen values for a scree test
winsor winsor.mean winsor.means winsor.sd winsor.var	Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
data	An example of the distinction between within group and between group correlations
YuleBonett YuleCor Yule Yule.inv Yule2phi Yule2tetra Yule2poly	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.