# psych v1.0-95

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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 | |

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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## Last month downloads

## Details

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 |

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

Contributors | William Revelle |

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