A small subset of Wilcox's functions that should be included in the first major release.
utilities
[x] con1way and con2way for creating linear contrasts
two independent groups
[x] yuenbt bootstrapped-t CI for ut1 - ut2
[x] pb2gen percentile bootstrap CI for difference between any estimators
two dependent groups
[x] ydbt bootstrapped-t CI for ut1 - ut2
[x] bootdpci percentile bootstrap method any estimator; can set options for using difference scores or measures of location based on the marginal distributions
[x] loc2dif and l2drmci difference between estimators using all combinations of difference scores and percentile bootstrap, respectively
one-way methods based on multiple comparisons for independent groups
[x] linconb test linear contrasts using bootstrap-t method
[x] tmcppb rom/hoch/ben-type methods using percentile bootstrap and trimmed means
one-way methods based on multiple comparisons for dependent groups
[x] rmmcppb multiple comparisons for J dependent groups using percentile boot method
[x] lindepbt bootstrap-t method for multiple comparisons among J dependent groups
within-within designs
[x] wwmcppb multiple comparisons for main effects and interactions with linear contrasts using percentile boot
[x] wwmcpbt multiple comparisons for main effects and interactions with linear contrasts using bootstrap-t
mixed designs
[x] bwmcp (bwamcp, bwbmcp, bwimcp) all main effects and interactions using bootstrap-t
[x] spmcpa, spmcpb, spmcpi like the above functions but using the percentile boot
[x] bwmcppb (only for trimmed means?) all main effects and interactions with percentile boot
between-between designs ?
correlations
[x] pbcor percentage bend correlation
[x] pball percentage bend correlation for a set of variables
[x] wincor winsorized correlation
[x] winall winsorized correlation for a set of variables
[x] corb test for zero correlation using bootstrapping
A small subset of Wilcox's functions that should be included in the first major release.
utilities
con1wayandcon2wayfor creating linear contraststwo independent groups
yuenbtbootstrapped-t CI for ut1 - ut2pb2genpercentile bootstrap CI for difference between any estimatorstwo dependent groups
ydbtbootstrapped-t CI for ut1 - ut2bootdpcipercentile bootstrap method any estimator; can set options for using difference scores or measures of location based on the marginal distributionsloc2difandl2drmcidifference between estimators using all combinations of difference scores and percentile bootstrap, respectivelyone-way methods based on multiple comparisons for independent groups
linconbtest linear contrasts using bootstrap-t methodtmcppbrom/hoch/ben-type methods using percentile bootstrap and trimmed meansone-way methods based on multiple comparisons for dependent groups
rmmcppbmultiple comparisons for J dependent groups using percentile boot methodlindepbtbootstrap-t method for multiple comparisons among J dependent groupswithin-within designs
wwmcppbmultiple comparisons for main effects and interactions with linear contrasts using percentile bootwwmcpbtmultiple comparisons for main effects and interactions with linear contrasts using bootstrap-tmixed designs
bwmcp(bwamcp,bwbmcp,bwimcp) all main effects and interactions using bootstrap-tspmcpa,spmcpb,spmcpilike the above functions but using the percentile bootbwmcppb(only for trimmed means?) all main effects and interactions with percentile bootbetween-between designs ?
correlations
pbcorpercentage bend correlationpballpercentage bend correlation for a set of variableswincorwinsorized correlationwinallwinsorized correlation for a set of variablescorbtest for zero correlation using bootstrapping