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regtab()
: several bug fixescrosstab()
: Displays pretty 2, 3 or 4-way
cross-tabulations, from possibly weighted data, and with the opportunity
to color the cells of the table according to a local measure of
association (phi coefficients, standardized residuals or PEM).cattab()
: Bivariate statistics between a categorical
variable and a set of variablescontab()
: Bivariate statistics between a continuous
variable and a set of variablesregtab()
: Univariate and multivariate regressions and
their average marginal effects side-by-sideweighted.cramer()
: Cramer’s V measure of association
between two (possibly weighted) categorical variablesstdres.table()
: Standardized and adjusted residuals of
a (possibly weighted) contingency tableprofiles()
: bug fix when stat = “cprop” and mar =
TRUEassoc.xx()
: Bivariate association measures between
pairs of variablesassoc.twocat.by()
: Groupwise version of
assoc.twocat()
assoc.twocont.by()
: Groupwise version of
assoc.twocont()
assoc.catcont.by()
: Groupwise version of
assoc.catcont()
profiles()
: Profiles by level of a categorical
variableassoc.catcont()
: new items in the results (summary
statistics, test-values)assoc.twocat()
: new item in the results (p-values of
adjusted standardized residuals)ggassoc_marimekko()
: y axis labels are now
horizontalcondesc()
and catdesc()
: labels of the
results have been renamed ; dec argument is replaced by digits and
simplified ; permutation p-values can be provided for variables and
categoriesweighted.cor2()
: weighted correlations between the
columns of a data frameweighted.cov()
: weighted covarianceweighted.cov2()
: weighted covariances between the
columns of a data frameggpattern
package moved from Imports to SuggestsMany functions in descriptio
are imported from
GDAtools
(1.8), with some changes and improvements, among
which the main ones are :
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.