psych v1.0-95

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by William Revelle

Procedures for Psychological, Psychometric, and Personality Research

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. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.

Functions in psych

Name Description
SD Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases
Gorsuch Example data set from Gorsuch (1997) for an example factor extension.
irt.fa Item Response Analysis by factor analysis of tetrachoric/polychoric correlations
Schmid 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
Bechtoldt Seven data sets showing a bifactor solution.
ICLUST.sort Sort items by absolute size of cluster loadings
ICC Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss)
factor.stats Find various goodness of fit statistics for factor analysis and principal components
affect Two data sets of affect and arousal scores as a function of personality and movie conditions
cluster.plot Plot factor/cluster loadings and assign items to clusters by their highest loading.
cluster.fit cluster Fit: fit of the cluster model to a correlation matrix
error.bars Plot means and confidence intervals
Harman Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
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.
biplot.psych Draw biplots of factor or component scores by factor or component loadings
bi.bars Draw pairs of bargraphs based on two groups
correct.cor Find dis-attenuated correlations given correlations and reliabilities
cluster.loadings Find item by cluster correlations, corrected for overlap and reliability
VSS.parallel Compare real and random VSS solutions
error.crosses Plot x and y error bars
plot.psych Plotting functions for the psych package of class ``psych"
epi.bfi 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory
cities Distances between 11 US cities
alpha Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.
blot Bond's Logical Operations Test -- BLOT
scaling.fits Test the adequacy of simple choice, logistic, or Thurstonian scaling.
bfi 25 Personality items representing 5 factors
Dwyer 8 cognitive variables used by Dwyer for an example.
phi2poly Convert a phi coefficient to a polychoric correlation
iqitems 14 multiple choice IQ items
ICLUST.rgraph Draw an ICLUST graph using the Rgraphviz package
galton Galton's Mid parent child height data
bock Bock and Liberman (1970) data set of 1000 observations of the LSAT
cortest.bartlett Bartlett's test that a correlation matrix is an identity matrix
iclust iclust: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles
burt 11 emotional variables from Burt (1915)
cosinor Functions for analysis of circadian or diurnal data
peas Galton`s Peas
test.psych Testing of functions in the psych package
predict.psych Prediction function for factor analysis or principal components
Promax Perform promax or targeted rotations and return the inter factor angles
principal Principal components analysis
Tucker 9 Cognitive variables discussed by Tucker and Lewis (1973)
read.clipboard shortcut for reading from the clipboard
factor.residuals R* = R- F F'
cubits Galton's example of the relationship between height and 'cubit' or forearm length
ellipses Plot data and 1 and 2 sigma correlation ellipses
score.items Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations
glb.algebraic Find the greatest lower bound to reliability.
factor.model Find R = F F' + U2 is the basic factor model
sim.anova Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures.
cluster2keys Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters.
describe Basic descriptive statistics useful for psychometrics
fa MinRes (minimum residual) Factor analysis as well as Factor Analysis by Principal Axis, Weighted Least Squares or Maximum Likelihood
cta Simulate the C(ues) T(endency) A(ction) model of motivation
comorbidity Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics
neo NEO correlation matrix from the NEO_PI_R manual
error.bars.by Plot means and confidence intervals for multiple groups
fa.sort Sort factor analysis or principal components analysis loadings
iclust.diagram Draw an ICLUST hierarchical cluster structure diagram
00.psych A package for personality, psychometric, and psychological research
VSS.plot Plot VSS fits
factor.fit How well does the factor model fit a correlation matrix. Part of the VSS package
eigen.loadings Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings
factor2cluster Extract cluster definitions from factor loadings
VSS Apply the Very Simple Structure and MAP criteria to determine the appropriate number of factors.
geometric.mean Find the geometric mean of a vector or columns of a data.frame.
cortest.mat Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal.
cohen.kappa Find Cohen's kappa and weighted kappa coefficients for correlation of two raters
logistic Logistic transform from x to p and logit transform from p to x
tetrachoric Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
interp.median Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
p.rep Find the probability of replication for an F, t, or r and estimate effect size
cor.plot Create an image plot for a correlation or factor matrix
omega.graph Graph hierarchical factor structures
guttman Alternative estimates of test reliabiity
phi.demo A simple demonstration of the Pearson, phi, and polychoric corelation
mat.regress Multiple Regression from matrix input
factor.rotate ``Hand" rotate a factor loading matrix
irt.item.diff.rasch Simple function to estimate item difficulties using IRT concepts
partial.r Find the partial correlations for a set (x) of variables with set (y) removed.
structure.diagram Draw a structural equation model specified by two measurement models and a structural model
sat.act 3 Measures of ability: SATV, SATQ, ACT
describe.by Basic summary statistics by group
vegetables Paired comparison of preferences for 9 vegetables
circ.tests Apply four tests of circumplex versus simple structure
fisherz Fisher r to z and z to r and confidence intervals
pairs.panels SPLOM, histograms and correlations for a data matrix
polychor.matrix Phi or Yule coefficient matrix to polychoric coefficient matrix
super.matrix Form a super matrix from two sub matrices.
sim.hierarchical Create a population or sample correlation matrix, perhaps with hierarchical structure.
rescale Function to convert scores to ``conventional " metrics
print.psych Print and summary functions for the psych class
multi.hist Multiple histograms with density and normal fits on one page
irt.1p Item Response Theory estimate of theta (ability) using a Rasch (like) model
phi Find the phi coefficient of correlation between two dichotomous variables
sim Functions to simulate psychological/psychometric data.
mixed.cor Find correlations for mixtures of continuous, polytomous, and dichotomous variables
mat.sort Sort the elements of a correlation matrix to reflect factor loadings
fa.extension Apply Dwyer's factor extension to find factor loadings for extended variables
scatter.hist Draw a scatter plot with associated X and Y histograms, densitie and correlation
tr Find the trace of a square matrix
simulation.circ Simulations of circumplex and simple structure
fa.diagram Graph factor loading matrices
score.multiple.choice Score multiple choice items and provide basic test statistics
heights A data.frame of the Galton (1888) height and cubit data set.
sim.VSS create VSS like data
r.test Tests of significance for correlations
winsor Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
mardia Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame
sim.item Generate simulated data structures for circumplex or simple structure
reverse.code Reverse the coding of selected items prior to scale analysis
make.keys Create a keys matrix for use by score.items or cluster.cor
omega Calculate McDonald's omega estimates of general and total factor saturation
structure.list Create factor model matrices from an input list
thurstone Thurstone Case V scaling
score.alpha Score scales and find Cronbach's alpha as well as associated statistics
polar Convert Cartesian factor loadings into polar coordinates
sim.structure Create correlation matrices or data matrices with a particular measurement and structural model
table2matrix Convert a table with counts to a matrix or data.frame representing those counts.
count.pairwise Count number of pairwise cases for a data set with missing (NA) data.
scrub A utility for basic data cleaning and recoding. Changes values outside of minimum and maximum limits to NA.
sim.congeneric Simulate a congeneric data set
ICLUST.graph create control code for ICLUST graphical output
diagram Helper functions for drawing path model diagrams
VSS.scree Plot the successive eigen values for a scree test
factor.congruence Coefficient of factor congruence
harmonic.mean Find the harmonic mean of a vector, matrix, or columns of a data.frame
paired.r Test the difference between (un)paired correlations
cluster.cor Find correlations of composite variables from a larger matrix
block.random Create a block randomized structure for n independent variables
corr.test Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame.
headtail Combine calls to head and tail
income US family income from US census 2008
msq 75 mood items from the Motivational State Questionnaire for 3896 participants
ICLUST.cluster Function to form hierarchical cluster analysis of items
matrix.addition A function to add two vectors or matrices
fa.parallel Scree plots of data or correlation matrix compared to random ``parallel" matrices
draw.tetra Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation
smc Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix
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Date 2011-03-31
License GPL (>= 2)
LazyData true
URL http://personality-project.org/r, http://personality-project.org/r/psych.manual.pdf
Packaged 2011-03-31 15:43:09 UTC; revelle
Repository CRAN
Date/Publication 2011-03-31 18:41:39

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