psych-package |
A package for personality, psychometric, and psychological research |
%+% |
A function to add two vectors or matrices |
alpha.scale |
Cronbach alpha for a scale |
bfi |
25 Personality items representing 5 factors |
circ.sim |
Generate simulated data structures for circumplex or simple structure |
circ.simulation |
Simulations of circumplex and simple structure |
circ.tests |
Apply four tests of circumplex versus simple structure |
cluster.cor |
Find correlations of composite variables 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 |
congeneric.sim |
Simulate a congeneric data set |
correct.cor |
Find dis-attenuated correlations and give alpha reliabilities |
count.pairwise |
Count number of pairwise cases for a data set with missing (NA) data. |
describe |
Basic descriptive statistics useful for psychometrics |
describe.by |
Basic summary statistics by group |
eigen.loadings |
Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings |
error.bars |
Plot means and confidence intervals |
error.crosses |
Plot x and y error bars |
fa.graph |
Graph factor loading matrices |
fa.parallel |
Scree plots of data or correlation matrix compared to random ``parallel" matrices |
factor.congruence |
Coefficient of factor congruence |
factor.fit |
How well does the factor model fit a correlation matrix. Part of the VSS package |
factor.model |
Find R = F F' + U2 is the basic factor model |
factor.pa |
Principal Axis Factor Analysis |
factor.residuals |
R* = R- F F' |
factor.rotate |
``Hand" rotate a factor loading matrix |
factor2cluster |
Extract cluster definitions from factor loadings |
fisherz |
Fisher z transform of r |
geometric.mean |
Find the geometric mean of a vector or columns of a data.frame. |
harmonic.mean |
Find the harmonic mean of a vector, matrix, or columns of a data.frame |
ICLUST |
ICLUST: Item Cluster Analysis - Hierarchical cluster analysis using psychometric principles |
ICLUST.cluster |
Function to form hierarchical cluster analysis of items |
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 |
iqitems |
14 multiple choice IQ items |
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.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 |
item.dichot |
Generate simulated data structures for circumplex or simple structure |
item.sim |
Generate simulated data structures for circumplex or simple structure |
kurtosi |
Kurtosis of a vector, matrix, or data frame |
make.hierarchical |
Create a population or sample correlation matrix with hierachical structure. |
mat.regress |
Multiple Regression from matrix input |
multi.hist |
Multiple histograms on one screen |
omega |
Calculate the omega estimate of factor saturation |
omega.graph |
Graph hierarchical factor structures |
p.rep |
Find the probability of replication for an F, t, or r and estimate effect size |
paired.r |
Test the difference between paired correlations |
pairs.panels |
SPLOM, histograms and correlations for a data matrix |
panel.cor |
SPLOM, histograms and correlations for a data matrix |
panel.hist |
SPLOM, histograms and correlations for a data matrix |
phi |
Find the phi coefficient of correlation between two dichotomous variables |
phi2poly |
Convert a phi coefficient to a polychoric correlation |
polar |
polar :convert Cartesian factor loadings into polar coordinates |
poly.mat |
Find polychoric correlations of item data |
polychor.matrix |
Actually, what does this do? Convert a matrix of phi coefficients to a matrix of polycoric correlations |
principal |
Principal components analysis |
psych |
A package for personality, psychometric, and psychological research |
psycho.demo |
Create demo data for psychometrics |
read.clipboard |
shortcut for reading from the clipboard |
sat.act |
3 Measures of ability: SATV, SATQ, ACT |
schmid |
Apply the Schmid Leiman transformation to a correlation matrix |
score.alpha |
Score scales and find Cronbach's alpha as well as associated statistics |
score.items |
Score item composite scales and find Cronbach's alpha as well as associated statistics |
score.multiple.choice |
Score multiple choice items and provide basic test statistics |
skew |
Calculate skew for a vector, matrix, or data.frame |
test.psych |
Testing of functions in the psych package |
VSS |
Apply the Very Simple Structure criterion to determine the appropriate number of factors. |
VSS.parallel |
Compare real and random VSS solutions |
VSS.plot |
Plot VSS fits |
VSS.scree |
Plot a scree test |
VSS.simulate |
create VSS like data |