A B C D E F G H I K L M N O P Q R S T U V W Y misc

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

psych-package | A package for personality, psychometric, and psychological research |

acs | Miscellaneous helper functions for the psych package |

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

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

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

alpha2r | Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6. |

anova.psych | Model comparison for regression, mediation, and factor analysis |

AUC | Decision Theory measures of specificity, sensitivity, and d prime |

auc | Decision Theory measures of specificity, sensitivity, and d prime |

autoR | Find von Neuman's Mean Square of Successive Differences |

bassAckward | The Bass-Ackward factoring algorithm discussed by Goldberg |

bassAckward.diagram | The Bass-Ackward factoring algorithm discussed by Goldberg |

Bechtoldt | Seven data sets showing a bifactor solution. |

Bechtoldt.1 | Seven data sets showing a bifactor solution. |

Bechtoldt.2 | Seven data sets showing a bifactor solution. |

bestItems | A bootstrap aggregation function for choosing most predictive unit weighted items |

bestScales | A bootstrap aggregation function for choosing most predictive unit weighted items |

bfi | 25 Personality items representing 5 factors |

bfi.keys | 25 Personality items representing 5 factors |

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

bifactor | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

bigCor | Find large correlation matrices by stitching together smaller ones found more rapidly |

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

biquartimin | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

BISCUIT | A bootstrap aggregation function for choosing most predictive unit weighted items |

biscuit | A bootstrap aggregation function for choosing most predictive unit weighted items |

BISCWIT | A bootstrap aggregation function for choosing most predictive unit weighted items |

biscwit | A bootstrap aggregation function for choosing most predictive unit weighted items |

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

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

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

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

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

cattell | 12 cognitive variables from Cattell (1963) |

cd.validity | Find Cohen d and confidence intervals |

char2numeric | Miscellaneous helper functions for the psych package |

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

chi2r | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

circ.sim | Generate simulated data structures for circumplex, spherical, or simple structure |

circ.sim.plot | Simulations of circumplex and simple structure |

circ.simulation | Simulations of circumplex and simple structure |

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

circadian.cor | Functions for analysis of circadian or diurnal data |

circadian.F | Functions for analysis of circadian or diurnal data |

circadian.linear.cor | Functions for analysis of circadian or diurnal data |

circadian.mean | Functions for analysis of circadian or diurnal data |

circadian.phase | Functions for analysis of circadian or diurnal data |

circadian.reliability | Functions for analysis of circadian or diurnal data |

circadian.sd | Functions for analysis of circadian or diurnal data |

circadian.stats | Functions for analysis of circadian or diurnal data |

circular.cor | Functions for analysis of circadian or diurnal data |

circular.mean | Functions for analysis of circadian or diurnal data |

cluster.cor | Find correlations of composite variables (corrected for overlap) from a larger matrix. |

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

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

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

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

cohen.d | Find Cohen d and confidence intervals |

cohen.d.by | Find Cohen d and confidence intervals |

cohen.d.ci | Find Cohen d and confidence intervals |

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

cohen.profile | Matrix and profile congruences and distances |

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

con2cat | Generate simulated data structures for circumplex, spherical, or simple structure |

congeneric.sim | Simulate a congeneric data set with or without minor factors |

congruence | Matrix and profile congruences and distances |

cor.ci | Bootstrapped and normal confidence intervals for raw and composite correlations |

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

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

cor.smooth | Smooth a non-positive definite correlation matrix to make it positive definite |

cor.smoother | Smooth a non-positive definite correlation matrix to make it positive definite |

cor.wt | The sample size weighted correlation may be used in correlating aggregated data |

cor2 | Miscellaneous helper functions for the psych package |

cor2cov | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

cor2dist | Convert correlations to distances (necessary to do multidimensional scaling of correlation data) |

corCi | Bootstrapped and normal confidence intervals for raw and composite correlations |

corFiml | Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data |

corPlot | Create an image plot for a correlation or factor matrix |

corPlotUpperLowerCi | Create an image plot for a correlation or factor matrix |

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

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

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

cortest | 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 |

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

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

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

cosinor | Functions for analysis of circadian or diurnal data |

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

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

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

crossValidation | Multiple Regression and Set Correlation from matrix or raw input |

crossValidationBoot | Multiple Regression and Set Correlation from matrix or raw input |

cs | Miscellaneous helper functions for the psych package |

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

cta.15 | Simulate the C(ues) T(endency) A(ction) model of motivation |

d.ci | Find Cohen d and confidence intervals |

d.robust | Find Cohen d and confidence intervals |

d2CL | Find Cohen d and confidence intervals |

d2OVL | Find Cohen d and confidence intervals |

d2OVL2 | Find Cohen d and confidence intervals |

d2r | Find Cohen d and confidence intervals |

d2t | Find Cohen d and confidence intervals |

d2U3 | Find Cohen d and confidence intervals |

densityBy | Create a 'violin plot' or density plot of the distribution of a set of variables |

describe | Basic descriptive statistics useful for psychometrics |

describe.by | Basic summary statistics by group |

describeBy | Basic summary statistics by group |

describeData | Basic descriptive statistics useful for psychometrics |

describeFast | Basic descriptive statistics useful for psychometrics |

dia.arrow | Helper functions for drawing path model diagrams |

dia.cone | Helper functions for drawing path model diagrams |

dia.curve | Helper functions for drawing path model diagrams |

dia.curved.arrow | Helper functions for drawing path model diagrams |

dia.ellipse | Helper functions for drawing path model diagrams |

dia.ellipse1 | Helper functions for drawing path model diagrams |

dia.rect | Helper functions for drawing path model diagrams |

dia.self | Helper functions for drawing path model diagrams |

dia.shape | Helper functions for drawing path model diagrams |

dia.triangle | Helper functions for drawing path model diagrams |

diagram | Helper functions for drawing path model diagrams |

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

distance | Matrix and profile congruences and distances |

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

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

dummy.code | Create dummy coded variables |

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

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

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

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

equamax | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

error.bars | Plot means and confidence intervals |

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

error.bars.tab | Plot means and confidence intervals |

error.crosses | Plot x and y error bars |

error.dots | Show a dot.chart with error bars for different groups or variables |

errorCircles | Two way plots of means, error bars, and sample sizes |

esem | Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques |

esem.diagram | Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques |

extension.diagram | Graph factor loading matrices |

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

fa.congruence | Coefficient of factor congruence |

fa.diagram | Graph factor loading matrices |

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

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

fa.graph | Graph factor loading matrices |

fa.lookup | A set of functions for factorial and empirical scale construction |

fa.multi | Multi level (hierarchical) factor analysis |

fa.multi.diagram | Multi level (hierarchical) factor analysis |

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

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

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

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

fa.poly | Deprecated Exploratory Factor analysis functions. Please use fa |

fa.pooled | Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood |

fa.random | A first approximation to Random Effects Exploratory Factor Analysis |

fa.rgraph | Graph factor loading matrices |

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

fa2irt | Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations |

faBy | Find statistics (including correlations) within and between groups for basic multilevel analyses |

fac | |

faCor | Correlations between two factor analysis solutions |

factor.congruence | Coefficient of factor congruence |

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

factor.minres | Deprecated Exploratory Factor analysis functions. Please use fa |

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

factor.pa | Deprecated Exploratory Factor analysis functions. Please use fa |

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

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

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

factor.scores | Various ways to estimate factor scores for the factor analysis model |

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

factor.wls | Deprecated Exploratory Factor analysis functions. Please use fa |

factor2cluster | Extract cluster definitions from factor loadings |

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

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

faRotate | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

faRotations | Multiple rotations of factor loadings to find local minima |

fisherz | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

fisherz2r | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

fparse | Parse and exten formula input from a model and return the DV, IV, and associated terms. |

fromTo | Miscellaneous helper functions for the psych package |

g2r | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

Garcia | Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010) |

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

glb | Alternative estimates of test reliabiity |

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

glb.fa | Alternative estimates of test reliabiity |

Gleser | Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory. |

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

GSBE | Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010) |

guttman | Alternative estimates of test reliabiity |

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

Harman.5 | Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt |

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

Harman.Burt | |

Harman.Holzinger | |

Harman.political | |

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

headTail | Combine calls to head and tail |

headtail | Combine calls to head and tail |

het.diagram | Graph factor loading matrices |

histBy | Multiple histograms with density and normal fits on one page |

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

Holzinger | Seven data sets showing a bifactor solution. |

Holzinger.9 | Seven data sets showing a bifactor solution. |

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

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

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

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

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

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

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

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

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

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

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

interbattery | Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques |

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

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

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

interp.qplot.by | |

interp.quantiles | |

interp.quart | |

interp.quartiles | |

interp.values | |

irt.0p | Item Response Theory estimate of theta (ability) using a Rasch (like) model |

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

irt.2p | Item Response Theory estimate of theta (ability) using a Rasch (like) model |

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

irt.fa | Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations |

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

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

irt.responses | Plot probability of multiple choice responses as a function of a latent trait |

irt.se | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

irt.select | Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations |

irt.stats.like | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

irt.tau | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

isCorrelation | Miscellaneous helper functions for the psych package |

isCovariance | Miscellaneous helper functions for the psych package |

item.dichot | Generate simulated data structures for circumplex, spherical, or simple structure |

item.lookup | A set of functions for factorial and empirical scale construction |

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

item.validity | Find the predicted validities of a set of scales based on item statistics |

kaiser | Apply the Kaiser normalization when rotating factors |

keys.lookup | A set of functions for factorial and empirical scale construction |

keys2list | Create a keys matrix for use by score.items or cluster.cor |

keysort | Find miniscales (parcels) of size 2 or 3 from a set of items |

KMO | Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy |

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

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

levels2numeric | Miscellaneous helper functions for the psych package |

lmCor | Multiple Regression and Set Correlation from matrix or raw input |

lmDiagram | Multiple Regression and Set Correlation from matrix or raw input |

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

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

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

lookup | A set of functions for factorial and empirical scale construction |

lookupFromKeys | A set of functions for factorial and empirical scale construction |

lookupItems | A set of functions for factorial and empirical scale construction |

lowerCor | Miscellaneous helper functions for the psych package |

lowerMat | Miscellaneous helper functions for the psych package |

lowerUpper | Combine two square matrices to have a lower off diagonal for one, upper off diagonal for the other |

lsat6 | Bock and Liberman (1970) data set of 1000 observations of the LSAT |

lsat7 | Bock and Liberman (1970) data set of 1000 observations of the LSAT |

m2d | Find Cohen d and confidence intervals |

m2t | Find Cohen d and confidence intervals |

make.congeneric | Simulate a congeneric data set with or without minor factors |

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

make.irt.stats | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

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

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

manhattan | "Manhattan" plots of correlations with a set of criteria. |

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

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

mat.regress | Multiple Regression and Set Correlation from matrix or raw input |

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

matMult | Miscellaneous helper functions for the psych package |

matPlot | Multiple Regression and Set Correlation from matrix or raw input |

matReg | Multiple Regression and Set Correlation from matrix or raw input |

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

matSort | Sort the elements of a correlation matrix to reflect factor loadings |

mediate | Estimate and display direct and indirect effects of mediators and moderator in path models |

mediate.diagram | Estimate and display direct and indirect effects of mediators and moderator in path models |

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

misc | Miscellaneous helper functions for the psych package |

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

mixedCor | Find correlations for mixtures of continuous, polytomous, and dichotomous variables |

mlArrange | Find and plot various reliability/gneralizability coefficients for multilevel data |

mlPlot | Find and plot various reliability/gneralizability coefficients for multilevel data |

mlr | Find and plot various reliability/gneralizability coefficients for multilevel data |

moderate.diagram | Estimate and display direct and indirect effects of mediators and moderator in path models |

mssd | Find von Neuman's Mean Square of Successive Differences |

multi.arrow | Helper functions for drawing path model diagrams |

multi.curved.arrow | Helper functions for drawing path model diagrams |

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

multi.rect | Helper functions for drawing path model diagrams |

multi.self | Helper functions for drawing path model diagrams |

multilevel.reliability | Find and plot various reliability/gneralizability coefficients for multilevel data |

nchar2numeric | Miscellaneous helper functions for the psych package |

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

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

omega.diagram | Graph hierarchical factor structures |

omega.graph | Graph hierarchical factor structures |

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

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

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

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

outlier | Find and graph Mahalanobis squared distances to detect outliers |

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

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

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

p.rep.t | 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 |

pairwiseCount | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwiseCountBig | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwiseDescribe | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwiseImpute | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwisePlot | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwiseReport | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwiseSample | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

pairwiseZero | Count number of pairwise cases for a data set with missing (NA) data and impute values. |

panel.cor | SPLOM, histograms and correlations for a data matrix |

panel.cor.scale | SPLOM, histograms and correlations for a data matrix |

panel.ellipse | SPLOM, histograms and correlations for a data matrix |

panel.hist | SPLOM, histograms and correlations for a data matrix |

panel.hist.density | SPLOM, histograms and correlations for a data matrix |

panel.lm | SPLOM, histograms and correlations for a data matrix |

panel.lm.ellipse | SPLOM, histograms and correlations for a data matrix |

panel.smoother | SPLOM, histograms and correlations for a data matrix |

parcels | Find miniscales (parcels) of size 2 or 3 from a set of items |

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

pca | Principal components analysis (PCA) |

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

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

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

phi2poly | Convert a phi coefficient to a tetrachoric correlation |

phi2poly.matrix | Phi or Yule coefficient matrix to polychoric coefficient matrix |

phi2tetra | Convert a phi coefficient to a tetrachoric correlation |

Pinv | Compute the Moore-Penrose Pseudo Inverse of a matrix |

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

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

plot.poly.parallel | Scree plots of data or correlation matrix compared to random "parallel" matrices |

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

plot.reliability | Reports 7 different estimates of scale reliabity including alpha, omega, split half |

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

pmi | Data set testing causal direction in presumed media influence |

polar | Convert Cartesian factor loadings into polar coordinates |

poly.mat | Tetrachoric, polychoric, biserial and polyserial correlations from various types of input |

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

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

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

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

predict.psych | Prediction function for factor analysis, principal components (pca), bestScales |

predicted.validity | Find the predicted validities of a set of scales based on item statistics |

principal | Principal components analysis (PCA) |

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

Procrustes | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

progressBar | Miscellaneous helper functions for the psych package |

Promax | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

protest | Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010) |

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

psych.misc | Miscellaneous helper functions for the psych package |

quickView | Combine calls to head and tail |

r.con | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

r.test | Tests of significance for correlations |

r2c | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

r2chi | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

r2d | Find Cohen d and confidence intervals |

r2t | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

radar | Make "radar" or "spider" plots. |

rangeCorrection | Correct correlations for restriction of range. (Thorndike Case 2) |

reflect | Miscellaneous helper functions for the psych package |

Reise | Seven data sets showing a bifactor solution. |

reliability | Reports 7 different estimates of scale reliabity including alpha, omega, split half |

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

resid.psych | Extract residuals from various psych objects |

residuals.psych | Extract residuals from various psych objects |

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

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

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

RMSEA | Root Mean Squared Error of Approximation from chisq, df, and n |

rmssd | Find von Neuman's Mean Square of Successive Differences |

SAPAfy | Miscellaneous helper functions for the psych package |

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

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

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

scatterHist | Draw a scatter plot with associated X and Y histograms, densities and correlation |

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

schmid | Apply the Schmid Leiman transformation to a correlation matrix |

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

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

score.irt | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

score.irt.2 | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

score.irt.poly | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

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

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

scoreBy | Find correlations of composite variables (corrected for overlap) from a larger matrix. |

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

scoreIrt | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

scoreIrt.1pl | Find Item Response Theory (IRT) based scores for dichotomous or polytomous items |

scoreIrt.2pl | 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 |

scoreOverlap | Find correlations of composite variables (corrected for overlap) from a larger matrix. |

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

scoreWtd | Score items using regression or correlation based weights |

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

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

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

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

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

sem.graph | Draw a structural equation model specified by two measurement models and a structural model |

Sensitivity | Decision Theory measures of specificity, sensitivity, and d prime |

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

setCor | Multiple Regression and Set Correlation from matrix or raw input |

setCor.diagram | Multiple Regression and Set Correlation from matrix or raw input |

setCorLookup | A set of functions for factorial and empirical scale construction |

shannon | Miscellaneous helper functions for the psych package |

sim | Functions to simulate psychological/psychometric data. |

sim.anova | Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures. |

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

sim.circ | Generate simulated data structures for circumplex, spherical, or simple structure |

sim.congeneric | Simulate a congeneric data set with or without minor factors |

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

sim.dichot | Generate simulated data structures for circumplex, spherical, or simple structure |

sim.general | Further functions to simulate psychological/psychometric data. |

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

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

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

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

sim.multi | Simulate multilevel data with specified within group and between group correlations |

sim.multilevel | Simulate multilevel data with specified within group and between group correlations |

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

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

sim.omega | Further functions to simulate psychological/psychometric data. |

sim.parallel | Further functions to simulate psychological/psychometric data. |

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

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

sim.poly.ideal.npl | Functions to simulate psychological/psychometric data. |

sim.poly.ideal.npn | Functions to simulate psychological/psychometric data. |

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

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

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

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

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

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

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

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

sim.VSS | create VSS like data |

simCor | Create correlation matrices or data matrices with a particular measurement and structural model |

simulation.circ | Simulations of circumplex and simple structure |

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

smc | Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix |

Specificity | Decision Theory measures of specificity, sensitivity, and d prime |

spider | Make "radar" or "spider" plots. |

splitHalf | Alternative estimates of test reliabiity |

statsBy | Find statistics (including correlations) within and between groups for basic multilevel analyses |

statsBy.boot | Find statistics (including correlations) within and between groups for basic multilevel analyses |

statsBy.boot.summary | Find statistics (including correlations) within and between groups for basic multilevel analyses |

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

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

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

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

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

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

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

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

t2d | Find Cohen d and confidence intervals |

t2r | Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals |

table2df | Convert a table with counts to a matrix or data.frame representing those counts. |

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

tableF | Miscellaneous helper functions for the psych package |

Tal.Or | Data set testing causal direction in presumed media influence |

Tal_Or | Data set testing causal direction in presumed media influence |

target.rot | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

TargetQ | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

TargetT | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

tctg | Data set testing causal direction in presumed media influence |

tenberge | Alternative estimates of test reliabiity |

test.all | Miscellaneous helper functions for the psych package |

test.irt | A simple demonstration (and test) of various IRT scoring algorthims. |

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

testReliability | Find various test-retest statistics, including test, person and item reliability |

testRetest | Find various test-retest statistics, including test, person and item reliability |

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

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

Thurstone | Seven data sets showing a bifactor solution. |

thurstone | Thurstone Case V scaling |

Thurstone.33 | Seven data sets showing a bifactor solution. |

Thurstone.33G | Seven data sets showing a bifactor solution. |

Thurstone.9 | Seven data sets showing a bifactor solution. |

topBottom | Combine calls to head and tail |

tr | Find the trace of a square matrix |

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

unidim | Several indices of the unidimensionality of a set of variables. |

validityItem | Find the predicted validities of a set of scales based on item statistics |

varimin | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

vgQ.bimin | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

vgQ.targetQ | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

vgQ.varimin | Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles. |

violin | Create a 'violin plot' or density plot of the distribution of a set of variables |

violinBy | Create a 'violin plot' or density plot of the distribution of a set of variables |

VSS | |

vss | |

VSS.parallel | Compare real and random VSS solutions |

VSS.plot | Plot VSS fits |

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

VSS.sim | create VSS like data |

VSS.simulate | create VSS like data |

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

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

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

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

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

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

withinBetween | An example of the distinction between within group and between group correlations |

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

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. |

Yule.inv | 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. |

Yule2phi | 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. |

Yule2phi.matrix | Phi or Yule coefficient matrix to polychoric coefficient matrix |

Yule2poly | |

Yule2poly.matrix | Phi or Yule coefficient matrix to polychoric coefficient matrix |

Yule2tetra | |

YuleBonett | |

YuleCor |

%+% | A function to add two vectors or matrices |