# psych v1.0-97

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## 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 | |

iclust | iclust: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles | |

cortest.bartlett | Bartlett's test that a correlation matrix is an identity matrix | |

ICLUST.rgraph | Draw an ICLUST graph using the Rgraphviz package | |

factor.residuals | R* = R- F F' | |

headtail | Combine calls to head and tail | |

alpha | Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6. | |

bfi | 25 Personality items representing 5 factors | |

affect | Two data sets of affect and arousal scores as a function of personality and movie conditions | |

geometric.mean | Find the geometric mean of a vector or columns of a data.frame. | |

VSS.scree | Plot the successive eigen values for a scree test | |

describe.by | Basic summary statistics by group | |

circ.tests | Apply four tests of circumplex versus simple structure | |

msq | 75 mood items from the Motivational State Questionnaire for 3896 participants | |

partial.r | Find the partial correlations for a set (x) of variables with set (y) removed. | |

cor.plot | Create an image plot for a correlation or factor matrix | |

cortest.mat | Chi square tests of whether a single matrix is an identity matrix, or a pair of matrices are equal. | |

ICC | Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss) | |

factor.rotate | ``Hand" rotate a factor loading matrix | |

SD | Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases | |

score.multiple.choice | Score multiple choice items and provide basic test statistics | |

Dwyer | 8 cognitive variables used by Dwyer for an example. | |

Schmid | 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation | |

iclust.diagram | Draw an ICLUST hierarchical cluster structure diagram | |

interp.median | Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame | |

reverse.code | Reverse the coding of selected items prior to scale analysis | |

VSS.parallel | Compare real and random VSS solutions | |

VSS.plot | Plot VSS fits | |

fa.sort | Sort factor analysis or principal components analysis loadings | |

describe | Basic descriptive statistics useful for psychometrics | |

cities | Distances between 11 US cities | |

read.clipboard | shortcut for reading from the clipboard | |

count.pairwise | Count number of pairwise cases for a data set with missing (NA) data. | |

heights | A data.frame of the Galton (1888) height and cubit data set. | |

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

ellipses | Plot data and 1 and 2 sigma correlation ellipses | |

mat.sort | Sort the elements of a correlation matrix to reflect factor loadings | |

fa.diagram | Graph factor loading matrices | |

winsor | Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame | |

scaling.fits | Test the adequacy of simple choice, logistic, or Thurstonian scaling. | |

income | US family income from US census 2008 | |

fa.extension | Apply Dwyer's factor extension to find factor loadings for extended variables | |

ICLUST.sort | Sort items by absolute size of cluster loadings | |

matrix.addition | A function to add two vectors or matrices | |

cubits | Galton's example of the relationship between height and 'cubit' or forearm length | |

paired.r | Test the difference between (un)paired correlations | |

Harman | Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt | |

epi.bfi | 13 personality scales from the Eysenck Personality Inventory and Big 5 inventory | |

biplot.psych | Draw biplots of factor or component scores by factor or component loadings | |

block.random | Create a block randomized structure for n independent variables | |

logistic | Logistic transform from x to p and logit transform from p to x | |

irt.item.diff.rasch | Simple function to estimate item difficulties using IRT concepts | |

Promax | Perform promax or targeted rotations and return the inter factor angles | |

Bechtoldt | Seven data sets showing a bifactor solution. | |

scrub | A utility for basic data cleaning and recoding. Changes values outside of minimum and maximum limits to NA. | |

fisherz | Fisher r to z and z to r and confidence intervals | |

table2matrix | Convert a table with counts to a matrix or data.frame representing those counts. | |

pairs.panels | SPLOM, histograms and correlations for a data matrix | |

blot | Bond's Logical Operations Test -- BLOT | |

sim.item | Generate simulated data structures for circumplex or simple structure | |

cluster2keys | Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters. | |

Gorsuch | Example data set from Gorsuch (1997) for an example factor extension. | |

draw.tetra | Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation | |

irt.fa | Item Response Analysis by factor analysis of tetrachoric/polychoric correlations | |

cosinor | Functions for analysis of circadian or diurnal data | |

structure.diagram | Draw a structural equation model specified by two measurement models and a structural model | |

burt | 11 emotional variables from Burt (1915) | |

correct.cor | Find dis-attenuated correlations given correlations and reliabilities | |

test.psych | Testing of functions in the psych package | |

fa | MinRes (minimum residual) Factor analysis as well as Factor Analysis by Principal Axis, Weighted Least Squares or Maximum Likelihood | |

diagram | Helper functions for drawing path model diagrams | |

principal | Principal components analysis | |

phi | Find the phi coefficient of correlation between two dichotomous variables | |

omega | Calculate McDonald's omega estimates of general and total factor saturation | |

cluster.loadings | Find item by cluster correlations, corrected for overlap and reliability | |

corr.test | Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame. | |

error.crosses | Plot x and y error bars | |

factor.fit | How well does the factor model fit a correlation matrix. Part of the VSS package | |

predict.psych | Prediction function for factor analysis or principal components | |

guttman | Alternative estimates of test reliabiity | |

omega.graph | Graph hierarchical factor structures | |

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. | |

irt.1p | Item Response Theory estimate of theta (ability) using a Rasch (like) model | |

score.alpha | Score scales and find Cronbach's alpha as well as associated statistics | |

sim.VSS | create VSS like data | |

sat.act | 3 Measures of ability: SATV, SATQ, ACT | |

p.rep | Find the probability of replication for an F, t, or r and estimate effect size | |

cta | Simulate the C(ues) T(endency) A(ction) model of motivation | |

print.psych | Print and summary functions for the psych class | |

ICLUST.graph | create control code for ICLUST graphical output | |

bock | Bock and Liberman (1970) data set of 1000 observations of the LSAT | |

eigen.loadings | Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings | |

comorbidity | Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics | |

r.test | Tests of significance for correlations | |

fa.parallel | Scree plots of data or correlation matrix compared to random ``parallel" matrices | |

cluster.fit | cluster Fit: fit of the cluster model to a correlation matrix | |

cluster.cor | Find correlations of composite variables from a larger matrix | |

peas | Galton`s Peas | |

error.bars.by | Plot means and confidence intervals for multiple groups | |

factor.congruence | Coefficient of factor congruence | |

cluster.plot | Plot factor/cluster loadings and assign items to clusters by their highest loading. | |

factor.model | Find R = F F' + U2 is the basic factor model | |

sim.hierarchical | Create a population or sample correlation matrix, perhaps with hierarchical structure. | |

factor2cluster | Extract cluster definitions from factor loadings | |

tr | Find the trace of a square matrix | |

sim.structure | Create correlation matrices or data matrices with a particular measurement and structural model | |

phi.demo | A simple demonstration of the Pearson, phi, and polychoric corelation | |

polychor.matrix | Phi or Yule coefficient matrix to polychoric coefficient matrix | |

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 | |

scatter.hist | Draw a scatter plot with associated X and Y histograms, densitie and correlation | |

mixed.cor | Find correlations for mixtures of continuous, polytomous, and dichotomous variables | |

cohen.kappa | Find Cohen's kappa and weighted kappa coefficients for correlation of two raters | |

mardia | Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame | |

plot.psych | Plotting functions for the psych package of class ``psych" | |

score.items | Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations | |

super.matrix | Form a super matrix from two sub matrices. | |

tetrachoric | Tetrachoric, polychoric, biserial and polyserial correlations from various types of input | |

polar | Convert Cartesian factor loadings into polar coordinates | |

structure.list | Create factor model matrices from an input list | |

phi2poly | Convert a phi coefficient to a polychoric correlation | |

sim.congeneric | Simulate a congeneric data set | |

factor.stats | Find various goodness of fit statistics for factor analysis and principal components | |

VSS | Apply the Very Simple Structure and MAP criteria to determine the appropriate number of factors. | |

bi.bars | Draw pairs of bargraphs based on two groups | |

error.bars | Plot means and confidence intervals | |

multi.hist | Multiple histograms with density and normal fits on one page | |

ICLUST.cluster | Function to form hierarchical cluster analysis of items | |

Tucker | 9 Cognitive variables discussed by Tucker and Lewis (1973) | |

galton | Galton's Mid parent child height data | |

make.keys | Create a keys matrix for use by score.items or cluster.cor | |

rescale | Function to convert scores to ``conventional " metrics | |

sim | Functions to simulate psychological/psychometric data. | |

neo | NEO correlation matrix from the NEO_PI_R manual | |

set.cor | Set Correlation and Multiple Regression from raw or matrix input | |

iqitems | 14 multiple choice IQ items | |

thurstone | Thurstone Case V scaling | |

harmonic.mean | Find the harmonic mean of a vector, matrix, or columns of a data.frame | |

vegetables | Paired comparison of preferences for 9 vegetables | |

glb.algebraic | Find the greatest lower bound to reliability. | |

simulation.circ | Simulations of circumplex and simple structure | |

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## Last month downloads

## Details

Date | 2011-05-15 |

License | GPL (>= 2) |

LazyData | true |

URL | http://personality-project.org/r, http://personality-project.org/r/psych.manual.pdf |

Packaged | 2011-05-15 16:14:58 UTC; revelle |

Repository | CRAN |

Date/Publication | 2011-05-15 17:07:48 |

suggests | GPArotation , graph , lavaan , MASS , mvtnorm , polycor , Rcsdp , Rgraphviz , sem |

Contributors | William Revelle |

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