RDocumentation
Moon
Search all packages and functions
⚠️
There's a newer version (2.1.9) of this package.
Take me there.
Readme not available 😞
Copy Link
Copy
Link to current version
Version
Version
2.1.9
2.1.6
2.1.3
2.0.12
2.0.9
2.0.8
2.0.7
1.9.12.31
1.9.12
1.8.12
1.8.10
1.8.4
1.8.3.3
1.7.8
1.7.5
1.7.3.21
1.6.12
1.6.9
1.6.6
1.6.4
1.5.8
1.5.6
1.5.4
1.5.1
1.4.8.11
1.4.8
1.4.5
1.4.4
1.4.3
1.4.2.3
1.4.1
1.3.12
1.3.10.12
1.3.2
1.2.12
1.2.8
1.2.4
1.2.1
1.1.1111
1.1.12
1.1.11
1.1.10
1.0-98
1.0-97
1.0-96
1.0-95
1.0-94
1.0-93
1.0-92
1.0-91
1.0-90
1.0-89
1.0-88
1.0-87
1.0-85
1.0-83
1.0-81
1.0-80
1.0-78
1.0-77
1.0-76
1.0-75
1.0-74
1.0-72
1.0-70
1.0-67
1.0-65
1.0-63
1.0-62
1.0-61
1.0-58
1.0-51
1.0-42
1.0-33
1.0-27
1.0-25
1.0-23
1.0-18
1.0-17
Down Chevron
Install
install.packages('psych')
Monthly Downloads
146,027
Version
2.0.12
License
GPL (>= 2)
Maintainer
William Revelle
Last Published
December 16th, 2020
Functions in psych (2.0.12)
Search functions
Gorsuch
Example data set from Gorsuch (1997) for an example factor extension.
Garcia
Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010)
Gleser
Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.
AUC
Decision Theory measures of specificity, sensitivity, and d prime
ICC
Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss)
Harman
Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
ICLUST.graph
create control code for ICLUST graphical output
00.psych
A package for personality, psychometric, and psychological research
ICLUST.cluster
Function to form hierarchical cluster analysis of items
ICLUST.sort
Sort items by absolute size of cluster loadings
KMO
Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy
iclust
iclust: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles
ICLUST.rgraph
Draw an ICLUST graph using the Rgraphviz package
Schmid
12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
SD
Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases
Promax
Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles.
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
Pinv
Compute the Moore-Penrose Pseudo Inverse of a matrix
Tucker
9 Cognitive variables discussed by Tucker and Lewis (1973)
Bechtoldt
Seven data sets showing a bifactor solution.
bfi
25 Personality items representing 5 factors
bassAckward
The Bass-Ackward factoring algorithm discussed by Goldberg
anova.psych
Model comparison for regression, mediation, and factor analysis
bi.bars
Draw pairs of bargraphs based on two groups
VSS.plot
Plot VSS fits
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.
bestScales
A bootstrap aggregation function for choosing most predictive unit weighted items
bock
Bock and Liberman (1970) data set of 1000 observations of the LSAT
cattell
12 cognitive variables from Cattell (1963)
VSS.scree
Plot the successive eigen values for a scree test
biplot.psych
Draw biplots of factor or component scores by factor or component loadings
alpha
Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.
block.random
Create a block randomized structure for n independent variables
circ.tests
Apply four tests of circumplex versus simple structure
cluster.plot
Plot factor/cluster loadings and assign items to clusters by their highest loading.
scoreOverlap
Find correlations of composite variables (corrected for overlap) from a larger matrix.
cluster2keys
Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters.
cluster.fit
cluster Fit: fit of the cluster model to a correlation matrix
cor.smooth
Smooth a non-positive definite correlation matrix to make it positive definite
corr.test
Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame.
cluster.loadings
Find item by cluster correlations, corrected for overlap and reliability
cor.wt
The sample size weighted correlation may be used in correlating aggregated data
corCi
Bootstrapped and normal confidence intervals for raw and composite correlations
cor.plot
Create an image plot for a correlation or factor matrix
comorbidity
Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics
cohen.d
Find Cohen d and confidence intervals
correct.cor
Find dis-attenuated correlations given correlations and reliabilities
corFiml
Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data
cor2dist
Convert correlations to distances (necessary to do multidimensional scaling of correlation data)
cta
Simulate the C(ues) T(endency) A(ction) model of motivation
densityBy
Create a 'violin plot' or density plot of the distribution of a set of variables
cortest.mat
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
diagram
Helper functions for drawing path model diagrams
fa.poly
Deprecated Exploratory Factor analysis functions. Please use fa
describeBy
Basic summary statistics by group
describe
Basic descriptive statistics useful for psychometrics
ellipses
Plot data and 1 and 2 sigma correlation ellipses
error.dots
Show a dot.chart with error bars for different groups or variables
error.crosses
Plot x and y error bars
error.bars
Plot means and confidence intervals
Dwyer
8 cognitive variables used by Dwyer for an example.
error.bars.by
Plot means and confidence intervals for multiple groups
eigen.loadings
Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings
errorCircles
Two way plots of means, error bars, and sample sizes
cosinor
Functions for analysis of circadian or diurnal data
pairwiseCount
Count number of pairwise cases for a data set with missing (NA) data and impute values.
draw.tetra
Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation
dummy.code
Create dummy coded variables
fa.multi
Multi level (hierarchical) factor analysis
fa.lookup
A set of functions for factorial and empirical scale construction
fa.diagram
Graph factor loading matrices
fa.parallel
Scree plots of data or correlation matrix compared to random ``parallel" matrices
faCor
Correlations between two factor analysis solutions
fa.random
A first approximation to Random Effects Exploratory Factor Analysis
factor.congruence
Coefficient of factor congruence
esem
Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques
factor.model
Find R = F F' + U2 is the basic factor model
factor.fit
How well does the factor model fit a correlation matrix. Part of the VSS package
fa
Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
fa.sort
Sort factor analysis or principal components analysis loadings
fa.extension
Apply Dwyer's factor extension to find factor loadings for extended variables
factor.stats
Find various goodness of fit statistics for factor analysis and principal components
factor.residuals
R* = R- F F'
headTail
Combine calls to head and tail
irt.item.diff.rasch
Simple function to estimate item difficulties using IRT concepts
fparse
Parse and exten formula input from a model and return the DV, IV, and associated terms.
glb.algebraic
Find the greatest lower bound to reliability.
fisherz
Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals
factor2cluster
Extract cluster definitions from factor loadings
geometric.mean
Find the geometric mean of a vector or columns of a data.frame.
cohen.kappa
Find Cohen's kappa and weighted kappa coefficients for correlation of two raters
manhattan
"Manhattan" plots of correlations with a set of criteria.
irt.1p
Item Response Theory estimate of theta (ability) using a Rasch (like) model
mat.sort
Sort the elements of a correlation matrix to reflect factor loadings
lowerUpper
Combine two square matrices to have a lower off diagonal for one, upper off diagonal for the other
factor.rotate
``Hand" rotate a factor loading matrix
mediate
Estimate and display direct and indirect effects of mediators and moderator in path models
iclust.diagram
Draw an ICLUST hierarchical cluster structure diagram
logistic
Logistic transform from x to p and logit transform from p to x
make.keys
Create a keys matrix for use by score.items or cluster.cor
harmonic.mean
Find the harmonic mean of a vector, matrix, or columns of a data.frame
matrix.addition
A function to add two vectors or matrices
splitHalf
Alternative estimates of test reliabiity
multilevel.reliability
Find and plot various reliability/gneralizability coefficients for multilevel data
omega
Calculate McDonald's omega estimates of general and total factor saturation
factor.scores
Various ways to estimate factor scores for the factor analysis model
omega.graph
Graph hierarchical factor structures
outlier
Find and graph Mahalanobis squared distances to detect outliers
kaiser
Apply the Kaiser normalization when rotating factors
irt.responses
Plot probability of multiple choice responses as a function of a latent trait
plot.psych
Plotting functions for the psych package of class ``psych"
interp.median
Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame
psych.misc
Miscellaneous helper functions for the psych package
p.rep
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
irt.fa
Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations
phi.demo
A simple demonstration of the Pearson, phi, and polychoric corelation
phi2tetra
Convert a phi coefficient to a tetrachoric correlation
mixedCor
Find correlations for mixtures of continuous, polytomous, and dichotomous variables
predict.psych
Prediction function for factor analysis, principal components (pca), bestScales
polychor.matrix
Phi or Yule coefficient matrix to polychoric coefficient matrix
polar
Convert Cartesian factor loadings into polar coordinates
sat.act
3 Measures of ability: SATV, SATQ, ACT
reverse.code
Reverse the coding of selected items prior to scale analysis
scaling.fits
Test the adequacy of simple choice, logistic, or Thurstonian scaling.
scatterHist
Draw a scatter plot with associated X and Y histograms, densities and correlation
print.psych
Print and summary functions for the psych class
partial.r
Find the partial correlations for a set (x) of variables with set (y) removed.
principal
Principal components analysis (PCA)
parcels
Find miniscales (parcels) of size 2 or 3 from a set of items
rangeCorrection
Correct correlations for restriction of range. (Thorndike Case 2)
r.test
Tests of significance for correlations
phi
Find the phi coefficient of correlation between two dichotomous variables
residuals.psych
Extract residuals from various psych objects
multi.hist
Multiple histograms with density and normal fits on one page
mssd
Find von Neuman's Mean Square of Successive Differences
rescale
Function to convert scores to ``conventional " metrics
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.
setCor
Multiple Regression and Set Correlation from matrix or raw input
schmid
Apply the Schmid Leiman transformation to a correlation matrix
score.alpha
Score scales and find Cronbach's alpha as well as associated statistics
scoreWtd
Score items using regression or correlation based weights
sim
Functions to simulate psychological/psychometric data.
scoreIrt
Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
scoreItems
Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations
sim.VSS
create VSS like data
simulation.circ
Simulations of circumplex and simple structure
sim.structure
Create correlation matrices or data matrices with a particular measurement and structural model
sim.multilevel
Simulate multilevel data with specified within group and between group correlations
sim.anova
Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures.
smc
Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix
Spengler
Project Talent data set from Marion Spengler and Rodica Damian
mardia
Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame
sim.congeneric
Simulate a congeneric data set
sim.hierarchical
Create a population or sample correlation matrix, perhaps with hierarchical structure.
sim.item
Generate simulated data structures for circumplex, spherical, or simple structure
test.psych
Testing of functions in the psych package
Tal_Or
Data set testing causal direction in presumed media influence
test.irt
A simple demonstration (and test) of various IRT scoring algorthims.
testRetest
Find various test-retest statistics, including test, person and item reliability
statsBy
Find statistics (including correlations) within and between groups for basic multilevel analyses
structure.list
Create factor model matrices from an input list
structure.diagram
Draw a structural equation model specified by two measurement models and a structural model
spider
Make "radar" or "spider" plots.
superMatrix
Form a super matrix from two sub matrices.
table2matrix
Convert a table with counts to a matrix or data.frame representing those counts.
unidim
Several indices of the unidimensionality of a set of variables.
withinBetween
An example of the distinction between within group and between group correlations
tr
Find the trace of a square matrix
winsor
Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
tetrachoric
Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
thurstone
Thurstone Case V scaling