circ.sim |
Generate simulated data structures for circumplex 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 |
cities |
Distances between 11 US cities |
city.location |
Distances between 11 US cities |
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. |
cluster2keys |
Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters. |
comorbidity |
Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics |
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. |
cubits |
Galton's example of the relationship between height and 'cubit' or forearm length |
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.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 |
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 |
Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame |
interp.quantiles |
Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame |
interp.quart |
Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame |
interp.quartiles |
Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame |
interp.values |
Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame |
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 |
p.ellipse |
SPLOM, histograms and correlations for a data matrix |
p.rep |
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 |
panel.cor |
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.lm |
SPLOM, histograms and correlations for a data matrix |
panel.smoothie |
SPLOM, histograms and correlations for a data matrix |
partial.r |
Find the partial correlations for a set (x) of variables with set (y) removed. |
peas |
Galton's Peas |
phi |
Find the phi coefficient of correlation between two dichotomous variables |
phi.demo |
Create demo data for psychometrics |
phi2poly |
Convert a phi coefficient to a polychoric correlation |
phi2poly.matrix |
Phi or Yule coefficient matrix to polychoric coefficient matrix |
plot.psych |
Plotting functions for the psych package of class “psych" |
polar |
Convert Cartesian factor loadings into polar coordinates |
poly.mat |
Find polychoric correlations of item data |
polychor.matrix |
Phi or Yule coefficient matrix to polychoric coefficient matrix |
principal |
Principal components analysis |
print.psych |
Print and summary functions for the psych class |
psych |
A package for personality, psychometric, and psychological research |
sat.act |
3 Measures of ability: SATV, SATQ, ACT |
scaling.fits |
Test the adequacy of simple choice, logistic, or Thurstonian scaling. |
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 |
SD |
Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases |
skew |
Calculate skew for a vector, matrix, or data.frame |
SMC |
Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix |
smc |
Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix |
summary.psych |
Print and summary functions for the psych class |
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. |
Yule2phi |
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. |
Yule2phi.matrix |
Phi or Yule coefficient matrix to polychoric coefficient matrix |
Yule2poly |
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. |
Yule2poly.matrix |
Phi or Yule coefficient matrix to polychoric coefficient matrix |