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