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. |
best.items |
A set of functions for factorial and empirical scale construction |
best.scales |
A set of functions for factorial and empirical scale construction |
bfi |
25 Personality items representing 5 factors |
bfi.dictionary |
25 Personality items representing 5 factors |
bi.bars |
Draw pairs of bargraphs based on two groups |
bifactor |
Perform bifactor, promax or targeted rotations and return the inter factor angles. |
biplot.psych |
Draw biplots of factor or component scores by factor or component loadings |
biquartimin |
Perform bifactor, promax or targeted rotations and return the inter factor angles. |
biserial |
Tetrachoric, polychoric, biserial and polyserial correlations from various types of input |
block.random |
Create a block randomized structure for n independent variables |
blot |
Bond's Logical Operations Test - BLOT |
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 |
burt |
11 emotional variables from Burt (1915) |
Chen |
12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation |
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.linear.cor |
Functions for analysis of circadian or diurnal data |
circadian.mean |
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 |
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. |
cohen.kappa |
Find Cohen's kappa and weighted kappa coefficients for correlation of two raters |
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 |
cor.ci |
Bootstrapped 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 |
cor2dist |
Convert correlations to distances (necessary to do multidimensional scaling of correlation data) |
cor2latex |
Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table |
corFiml |
Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data |
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 |
count.pairwise |
Count number of pairwise cases for a data set with missing (NA) data. |
cta |
Simulate the C(ues) T(endency) A(ction) model of motivation |
cubits |
Galton's example of the relationship between height and 'cubit' or forearm length |
cushny |
A data set from Cushny and Peebles (1905) on the effect of three drugs on hours of sleep, used by Student (1908) |
d2r |
Fisher r to z and z to r 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 |
df2latex |
Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table |
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 |
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. |
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.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 |
Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood |
fa.rgraph |
Graph factor loading matrices |
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 |
fa2latex |
Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table |
fac |
Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood |
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 |
Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood |
factor.model |
Find R = F F' + U2 is the basic factor model |
factor.pa |
Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood |
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 |
Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood |
factor2cluster |
Extract cluster definitions from factor loadings |
fisherz |
Fisher r to z and z to r and confidence intervals |
fisherz2r |
Fisher r to z and z to r and confidence intervals |
flat |
Two data sets of affect and arousal scores as a function of personality and movie conditions |
Harman |
Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt |
Harman.5 |
5 socio-economic variables from Harman (1967) |
Harman.8 |
Correlations of eight physical variables (from Harman, 1966) |
Harman.Burt |
Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt |
Harman.Holzinger |
Two data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt |
Harman.political |
Eight political variables used by Harman (1967) as example 8.17 |
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 |
heights |
A data.frame of the Galton (1888) height and cubit data set. |
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) |
ICC2latex |
Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table |
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 |
income |
US family income from US census 2008 |
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 |
16 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.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.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 |
irt2latex |
Convert a data frame, correlation matrix, or factor analysis output to a LaTeX table |
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 |
make.congeneric |
Simulate a congeneric data set |
make.hierarchical |
Create a population or sample correlation matrix, perhaps with hierarchical structure. |
make.keys |
Create a keys matrix for use by score.items or cluster.cor |
MAP |
Apply the Very Simple Structure, MAP, and other criteria to determine the appropriate number of factors. |
maps |
Two data sets of affect and arousal scores as a function of personality and movie conditions |
mardia |
Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame |
mat.regress |
Set Correlation and Multiple Regression from matrix or raw input |
mat.sort |
Sort the elements of a correlation matrix to reflect factor loadings |
matrix.addition |
A function to add two vectors or matrices |
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 |
msq |
75 mood items from the Motivational State Questionnaire for 3896 participants |
mssd |
Find von Neuman's Mean Square of Successive Differences |
multi.hist |
Multiple histograms with density and normal fits on one page |
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 |
pairwiseDescribe |
Count number of pairwise cases for a data set with missing (NA) data. |
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. |
peas |
Galton's Peas |
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 |
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.residuals |
Plotting functions for the psych package of class "psych" |
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 |
polyserial |
Tetrachoric, polychoric, biserial and polyserial correlations from various types of input |
predict.psych |
Prediction function for factor analysis or principal components |
principal |
Principal components analysis (PCA) |
print.psych |
Print and summary functions for the psych class |
progressBar |
Miscellaneous helper functions for the psych package |
Promax |
Perform bifactor, promax or targeted rotations and return the inter factor angles. |
psych |
A package for personality, psychometric, and psychological research |
psych.misc |
Miscellaneous helper functions for the psych package |
r.con |
Fisher r to z and z to r and confidence intervals |
r.test |
Tests of significance for correlations |
r2d |
Fisher r to z and z to r and confidence intervals |
r2t |
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) |
read.clipboard |
shortcut for reading from the clipboard |
read.clipboard.csv |
shortcut for reading from the clipboard |
read.clipboard.fwf |
shortcut for reading from the clipboard |
read.clipboard.lower |
shortcut for reading from the clipboard |
read.clipboard.tab |
shortcut for reading from the clipboard |
read.clipboard.upper |
shortcut for reading from the clipboard |
reflect |
Miscellaneous helper functions for the psych package |
Reise |
Seven data sets showing a bifactor solution. |
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 |
reverse.code |
Reverse the coding of selected items prior to scale analysis |
rmssd |
Find von Neuman's Mean Square of Successive Differences |
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, densitie 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 |
scoreItems |
Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations |
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 |
set.cor |
Set Correlation and Multiple Regression from matrix or raw input |
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.circ |
Generate simulated data structures for circumplex, spherical, or simple structure |
sim.congeneric |
Simulate a congeneric data set |
sim.dichot |
Generate simulated data structures for circumplex, spherical, or simple structure |
sim.general |
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.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 |
Functions to simulate psychological/psychometric data. |
sim.parallel |
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 |
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 |
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. |
superMatrix |
Form a super matrix from two sub matrices. |
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 |
target.rot |
Perform bifactor, promax or targeted rotations and return the inter factor angles. |
TargetQ |
Perform bifactor, promax or targeted rotations and return the inter factor angles. |
tenberge |
Alternative estimates of test reliabiity |
test.all |
Miscellaneous helper functions for the psych package |
test.psych |
Testing of functions in the psych package |
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. |
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) |
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 |
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. |
Yule2poly.matrix |
Phi or Yule coefficient matrix to polychoric coefficient matrix |
Yule2tetra |
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. |