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