Procedures for Psychological, Psychometric, and Personality Research


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Documentation for package ‘psych’ version 1.4.5

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A B C D E F G H I K L M N O P R S T V W Y misc

00.psych-package A package for personality, psychometric, and psychological research
psych-package A package for personality, psychometric, and psychological research

-- A --

ability 16 ability items scored as correct or incorrect.
affect Two data sets of affect and arousal scores as a function of personality and movie conditions
all.income US family income from US census 2008
alpha Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.
alpha.scale Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.

-- B --

Bechtoldt Seven data sets showing a bifactor solution.
Bechtoldt.1 Seven data sets showing a bifactor solution.
Bechtoldt.2 Seven data sets showing a bifactor solution.
best.items A set of functions for factorial and empirical scale construction
best.scales A set of functions for factorial and empirical scale construction
bfi 25 Personality items representing 5 factors
bfi.dictionary 25 Personality items representing 5 factors
bi.bars Draw pairs of bargraphs based on two groups
bifactor Perform bifactor, promax or targeted rotations and return the inter factor angles.
biplot.psych Draw biplots of factor or component scores by factor or component loadings
biquartimin Perform bifactor, promax or targeted rotations and return the inter factor angles.
biserial Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
block.random Create a block randomized structure for n independent variables
blot Bond's Logical Operations Test - BLOT
bock Bock and Liberman (1970) data set of 1000 observations of the LSAT
bock.lsat Bock and Liberman (1970) data set of 1000 observations of the LSAT
bock.table Bock and Liberman (1970) data set of 1000 observations of the LSAT
burt 11 emotional variables from Burt (1915)

-- C --

Chen 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
circ.sim Generate simulated data structures for circumplex, spherical, or simple structure
circ.sim.plot Simulations of circumplex and simple structure
circ.simulation Simulations of circumplex and simple structure
circ.tests Apply four tests of circumplex versus simple structure
circadian.cor Functions for analysis of circadian or diurnal data
circadian.linear.cor Functions for analysis of circadian or diurnal data
circadian.mean Functions for analysis of circadian or diurnal data
circular.cor Functions for analysis of circadian or diurnal data
circular.mean Functions for analysis of circadian or diurnal data
cities Distances between 11 US cities
city.location Distances between 11 US cities
cluster.cor Find correlations of composite variables 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 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.
cohen.kappa Find Cohen's kappa and weighted kappa coefficients for correlation of two raters
comorbidity Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics
con2cat Generate simulated data structures for circumplex, spherical, or simple structure
congeneric.sim Simulate a congeneric data set
cor.ci Bootstrapped confidence intervals for raw and composite correlations
cor.plot Create an image plot for a correlation or factor matrix
cor.plot.upperLowerCi Create an image plot for a correlation or factor matrix
cor.smooth Smooth a non-positive definite correlation matrix to make it positive definite
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)
cor2latex Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
corFiml Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data
corr.p Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame.
corr.test 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 Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
cortest.bartlett Bartlett's test that a correlation matrix is an identity matrix
cortest.jennrich Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
cortest.mat Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
cortest.normal 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
count.pairwise Count number of pairwise cases for a data set with missing (NA) data.
cta Simulate the C(ues) T(endency) A(ction) model of motivation
cubits Galton's example of the relationship between height and 'cubit' or forearm length
cushny A data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908)

-- D --

d2r Fisher r to z and z to r and confidence intervals
densityBy Create a 'violin plot' or density plot of the distribution of a set of variables
describe Basic descriptive statistics useful for psychometrics
describe.by Basic summary statistics by group
describeBy Basic summary statistics by group
describeData Basic descriptive statistics useful for psychometrics
df2latex Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
dia.arrow Helper functions for drawing path model diagrams
dia.cone Helper functions for drawing path model diagrams
dia.curve Helper functions for drawing path model diagrams
dia.curved.arrow Helper functions for drawing path model diagrams
dia.ellipse Helper functions for drawing path model diagrams
dia.ellipse1 Helper functions for drawing path model diagrams
dia.rect Helper functions for drawing path model diagrams
dia.self Helper functions for drawing path model diagrams
dia.shape Helper functions for drawing path model diagrams
dia.triangle Helper functions for drawing path model diagrams
diagram Helper functions for drawing path model diagrams
draw.tetra Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation
dummy.code Create dummy coded variables
Dwyer 8 cognitive variables used by Dwyer for an example.

-- E --

eigen.loadings Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings
ellipses Plot data and 1 and 2 sigma correlation ellipses
epi Eysenck Personality Inventory (EPI) data for 3570 participants
epi.bfi 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
epi.dictionary Eysenck Personality Inventory (EPI) data for 3570 participants
error.bars Plot means and confidence intervals
error.bars.by Plot means and confidence intervals for multiple groups
error.crosses Plot x and y error bars
errorCircles Two way plots of means, error bars, and sample sizes

-- F --

fa Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
fa.congruence Coefficient of factor congruence
fa.diagram Graph factor loading matrices
fa.extend Apply Dwyer's factor extension to find factor loadings for extended variables
fa.extension Apply Dwyer's factor extension to find factor loadings for extended variables
fa.graph Graph factor loading matrices
fa.lookup A set of functions for factorial and empirical scale construction
fa.organize Sort factor analysis or principal components analysis loadings
fa.parallel Scree plots of data or correlation matrix compared to random "parallel" matrices
fa.parallel.poly Scree plots of data or correlation matrix compared to random "parallel" matrices
fa.plot Plot factor/cluster loadings and assign items to clusters by their highest loading.
fa.poly Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
fa.rgraph Graph factor loading matrices
fa.sort Sort factor analysis or principal components analysis loadings
fa.stats Find various goodness of fit statistics for factor analysis and principal components
fa2irt Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations
fa2latex Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
fac Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
factor.congruence Coefficient of factor congruence
factor.fit How well does the factor model fit a correlation matrix. Part of the VSS package
factor.minres Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
factor.model Find R = F F' + U2 is the basic factor model
factor.pa Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
factor.plot Plot factor/cluster loadings and assign items to clusters by their highest loading.
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
factor.stats Find various goodness of fit statistics for factor analysis and principal components
factor.wls Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
factor2cluster Extract cluster definitions from factor loadings
fisherz Fisher r to z and z to r and confidence intervals
fisherz2r Fisher r to z and z to r and confidence intervals
flat Two data sets of affect and arousal scores as a function of personality and movie conditions

-- G --

galton Galton's Mid parent child height data
geometric.mean Find the geometric mean of a vector or columns of a data.frame.
glb Alternative estimates of test reliabiity
glb.algebraic Find the greatest lower bound to reliability.
glb.fa Alternative estimates of test reliabiity
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.
guttman Alternative estimates of test reliabiity

-- H --

Harman Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
Harman.5 5 socio-economic variables from Harman (1967)
Harman.8 Correlations of eight physical variables (from Harman, 1966)
Harman.Burt Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
Harman.Holzinger Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
Harman.political Eight political variables used by Harman (1967) as example 8.17
harmonic.mean Find the harmonic mean of a vector, matrix, or columns of a data.frame
headTail Combine calls to head and tail
headtail Combine calls to head and tail
heights A data.frame of the Galton (1888) height and cubit data set.
histo.density Multiple histograms with density and normal fits on one page
Holzinger Seven data sets showing a bifactor solution.
Holzinger.9 Seven data sets showing a bifactor solution.

-- I --

ICC Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss)
ICC2latex Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
ICLUST iclust: Item Cluster Analysis - Hierarchical cluster analysis using psychometric principles
iclust iclust: Item Cluster Analysis - Hierarchical cluster analysis using psychometric principles
ICLUST.cluster Function to form hierarchical cluster analysis of items
ICLUST.diagram Draw an ICLUST hierarchical cluster structure diagram
iclust.diagram Draw an ICLUST hierarchical cluster structure diagram
ICLUST.graph create control code for ICLUST graphical output
iclust.graph create control code for ICLUST graphical output
ICLUST.rgraph Draw an ICLUST graph using the Rgraphviz package
ICLUST.sort Sort items by absolute size of cluster loadings
iclust.sort Sort items by absolute size of cluster loadings
income US family income from US census 2008
interp.boxplot Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.median Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.q Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.qplot.by Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.quantiles Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.quart Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.quartiles Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
interp.values Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
iqitems 16 multiple choice IQ items
irt.0p Item Response Theory estimate of theta (ability) using a Rasch (like) model
irt.1p Item Response Theory estimate of theta (ability) using a Rasch (like) model
irt.2p Item Response Theory estimate of theta (ability) using a Rasch (like) model
irt.discrim Simple function to estimate item difficulties using IRT concepts
irt.fa Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations
irt.item.diff.rasch Simple function to estimate item difficulties using IRT concepts
irt.person.rasch 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
irt.select Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations
irt.stats.like Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
irt.tau Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
irt2latex Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
item.dichot Generate simulated data structures for circumplex, spherical, or simple structure
item.lookup A set of functions for factorial and empirical scale construction
item.sim Generate simulated data structures for circumplex, spherical, or simple structure

-- K --

kaiser Apply the Kaiser normalization when rotating factors
keysort Find miniscales (parcels) of size 2 or 3 from a set of items
KMO Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy
kurtosi Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame

-- L --

lavaan.diagram Draw a structural equation model specified by two measurement models and a structural model
logistic Logistic transform from x to p and logit transform from p to x
logistic.grm Logistic transform from x to p and logit transform from p to x
logit Logistic transform from x to p and logit transform from p to x
lookup A set of functions for factorial and empirical scale construction
lowerCor Miscellaneous helper functions for the psych package
lowerMat Miscellaneous helper functions for the psych package
lowerUpper Combine two square matrices to have a lower off diagonal for one, upper off diagonal for the other
lsat6 Bock and Liberman (1970) data set of 1000 observations of the LSAT
lsat7 Bock and Liberman (1970) data set of 1000 observations of the LSAT

-- M --

make.congeneric Simulate a congeneric data set
make.hierarchical Create a population or sample correlation matrix, perhaps with hierarchical structure.
make.keys Create a keys matrix for use by score.items or cluster.cor
MAP Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors.
maps Two data sets of affect and arousal scores as a function of personality and movie conditions
mardia Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame
mat.regress Set Correlation and Multiple Regression from matrix or raw input
mat.sort Sort the elements of a correlation matrix to reflect factor loadings
matrix.addition A function to add two vectors or matrices
minkowski Plot data and 1 and 2 sigma correlation ellipses
misc Miscellaneous helper functions for the psych package
mixed.cor Find correlations for mixtures of continuous, polytomous, and dichotomous variables
msq 75 mood items from the Motivational State Questionnaire for 3896 participants
mssd Find von Neuman's Mean Square of Successive Differences
multi.hist Multiple histograms with density and normal fits on one page

-- N --

neo NEO correlation matrix from the NEO_PI_R manual
nfactors Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors.

-- O --

omega Calculate McDonald's omega estimates of general and total factor saturation
omega.diagram Graph hierarchical factor structures
omega.graph Graph hierarchical factor structures
omega2latex Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table
omegaFromSem Calculate McDonald's omega estimates of general and total factor saturation
omegah Calculate McDonald's omega estimates of general and total factor saturation
omegaSem Calculate McDonald's omega estimates of general and total factor saturation

-- P --

p.rep Find the probability of replication for an F, t, or r and estimate effect size
p.rep.f Find the probability of replication for an F, t, or r and estimate effect size
p.rep.r Find the probability of replication for an F, t, or r and estimate effect size
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
pairwiseDescribe Count number of pairwise cases for a data set with missing (NA) data.
panel.cor SPLOM, histograms and correlations for a data matrix
panel.cor.scale SPLOM, histograms and correlations for a data matrix
panel.ellipse SPLOM, histograms and correlations for a data matrix
panel.hist SPLOM, histograms and correlations for a data matrix
panel.hist.density SPLOM, histograms and correlations for a data matrix
panel.lm SPLOM, histograms and correlations for a data matrix
panel.lm.ellipse SPLOM, histograms and correlations for a data matrix
panel.smoother SPLOM, histograms and correlations for a data matrix
parcels 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.
peas Galton's Peas
phi Find the phi coefficient of correlation between two dichotomous variables
phi.demo A simple demonstration of the Pearson, phi, and polychoric corelation
phi.list Create factor model matrices from an input list
phi2poly Convert a phi coefficient to a tetrachoric correlation
phi2poly.matrix Phi or Yule coefficient matrix to polychoric coefficient matrix
phi2tetra Convert a phi coefficient to a tetrachoric correlation
plot.irt Plotting functions for the psych package of class "psych"
plot.poly Plotting functions for the psych package of class "psych"
plot.poly.parallel Scree plots of data or correlation matrix compared to random "parallel" matrices
plot.psych Plotting functions for the psych package of class "psych"
plot.residuals Plotting functions for the psych package of class "psych"
polar Convert Cartesian factor loadings into polar coordinates
poly.mat Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
polychor.matrix Phi or Yule coefficient matrix to polychoric coefficient matrix
polychoric Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
polyserial Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
predict.psych Prediction function for factor analysis or principal components
principal Principal components analysis (PCA)
print.psych Print and summary functions for the psych class
progressBar Miscellaneous helper functions for the psych package
Promax Perform bifactor, promax or targeted rotations and return the inter factor angles.
psych A package for personality, psychometric, and psychological research
psych.misc Miscellaneous helper functions for the psych package

-- R --

r.con Fisher r to z and z to r and confidence intervals
r.test Tests of significance for correlations
r2d Fisher r to z and z to r and confidence intervals
r2t Fisher r to z and z to r and confidence intervals
radar Make "radar" or "spider" plots.
rangeCorrection Correct correlations for restriction of range. (Thorndike Case 2)
read.clipboard shortcut for reading from the clipboard
read.clipboard.csv shortcut for reading from the clipboard
read.clipboard.fwf shortcut for reading from the clipboard
read.clipboard.lower shortcut for reading from the clipboard
read.clipboard.tab shortcut for reading from the clipboard
read.clipboard.upper shortcut for reading from the clipboard
reflect Miscellaneous helper functions for the psych package
Reise Seven data sets showing a bifactor solution.
rescale Function to convert scores to "conventional " metrics
resid.psych Extract residuals from various psych objects
residuals.psych Extract residuals from various psych objects
response.frequencies Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations
reverse.code Reverse the coding of selected items prior to scale analysis
rmssd Find von Neuman's Mean Square of Successive Differences

-- S --

sat.act 3 Measures of ability: SATV, SATQ, ACT
scaling.fits Test the adequacy of simple choice, logistic, or Thurstonian scaling.
scatter.hist Draw a scatter plot with associated X and Y histograms, densitie and correlation
Schmid 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
schmid Apply the Schmid Leiman transformation to a correlation matrix
schmid.leiman 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
score.alpha Score scales and find Cronbach's alpha as well as associated statistics
score.irt Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
score.irt.2 Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
score.irt.poly Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
score.items 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
scoreItems Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations
scree Plot the successive eigen values for a scree test
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
set.cor Set Correlation and Multiple Regression from matrix or raw input
shannon Miscellaneous helper functions for the psych package
sim Functions to simulate psychological/psychometric data.
sim.anova Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures.
sim.circ Generate simulated data structures for circumplex, spherical, or simple structure
sim.congeneric Simulate a congeneric data set
sim.dichot Generate simulated data structures for circumplex, spherical, or simple structure
sim.general Functions to simulate psychological/psychometric data.
sim.hierarchical Create a population or sample correlation matrix, perhaps with hierarchical structure.
sim.irt Functions to simulate psychological/psychometric data.
sim.item Generate simulated data structures for circumplex, spherical, or simple structure
sim.minor Functions to simulate psychological/psychometric data.
sim.multilevel Simulate multilevel data with specified within group and between group correlations
sim.npl Functions to simulate psychological/psychometric data.
sim.npn Functions to simulate psychological/psychometric data.
sim.omega Functions to simulate psychological/psychometric data.
sim.parallel Functions to simulate psychological/psychometric data.
sim.poly Functions to simulate psychological/psychometric data.
sim.poly.ideal Functions to simulate psychological/psychometric data.
sim.poly.ideal.npl Functions to simulate psychological/psychometric data.
sim.poly.ideal.npn Functions to simulate psychological/psychometric data.
sim.poly.mat Functions to simulate psychological/psychometric data.
sim.poly.npl Functions to simulate psychological/psychometric data.
sim.poly.npn Functions to simulate psychological/psychometric data.
sim.rasch Functions to simulate psychological/psychometric data.
sim.simplex Functions to simulate psychological/psychometric data.
sim.spherical Generate simulated data structures for circumplex, spherical, or simple structure
sim.structural Create correlation matrices or data matrices with a particular measurement and structural model
sim.structure Create correlation matrices or data matrices with a particular measurement and structural model
sim.VSS create VSS like data
simulation.circ Simulations of circumplex and simple structure
skew 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 Make "radar" or "spider" plots.
splitHalf Alternative estimates of test reliabiity
statsBy Find statistics (including correlations) within and between groups for basic multilevel analyses
statsBy.boot Find statistics (including correlations) within and between groups for basic multilevel analyses
statsBy.boot.summary Find statistics (including correlations) within and between groups for basic multilevel analyses
structure.diagram Draw a structural equation model specified by two measurement models and a structural model
structure.graph Draw a structural equation model specified by two measurement models and a structural model
structure.list Create factor model matrices from an input list
structure.sem Draw a structural equation model specified by two measurement models and a structural model
summary.psych Print and summary functions for the psych class
super.matrix Form a super matrix from two sub matrices.
superMatrix Form a super matrix from two sub matrices.

-- T --

table2df Convert a table with counts to a matrix or data.frame representing those counts.
table2matrix Convert a table with counts to a matrix or data.frame representing those counts.
tableF Miscellaneous helper functions for the psych package
target.rot Perform bifactor, promax or targeted rotations and return the inter factor angles.
TargetQ Perform bifactor, promax or targeted rotations and return the inter factor angles.
tenberge Alternative estimates of test reliabiity
test.all Miscellaneous helper functions for the psych package
test.psych Testing of functions in the psych package
tetrachor Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
tetrachoric Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
Thurstone Seven data sets showing a bifactor solution.
thurstone Thurstone Case V scaling
Thurstone.33 Seven data sets showing a bifactor solution.
topBottom Combine calls to head and tail
tr Find the trace of a square matrix
Tucker 9 Cognitive variables discussed by Tucker and Lewis (1973)

-- V --

veg Paired comparison of preferences for 9 vegetables
vegetables Paired comparison of preferences for 9 vegetables
vgQ.bimin Perform bifactor, promax or targeted rotations and return the inter factor angles.
vgQ.targetQ Perform bifactor, promax or targeted rotations and return the inter factor angles.
violinBy Create a 'violin plot' or density plot of the distribution of a set of variables
VSS Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors.
vss Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors.
VSS.parallel Compare real and random VSS solutions
VSS.plot Plot VSS fits
VSS.scree Plot the successive eigen values for a scree test
VSS.sim create VSS like data
VSS.simulate create VSS like data

-- W --

West 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
winsor.mean Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
winsor.means Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
winsor.sd Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
winsor.var Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
withinBetween An example of the distinction between within group and between group correlations
wkappa Find Cohen's kappa and weighted kappa coefficients for correlation of two raters

-- Y --

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.
Yule.inv 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.
Yule2phi 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.
Yule2phi.matrix Phi or Yule coefficient matrix to polychoric coefficient matrix
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.
Yule2poly.matrix Phi or Yule coefficient matrix to polychoric coefficient matrix
Yule2tetra 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.

-- misc --

%+% A function to add two vectors or matrices