DistatisR.1.1.0 DistatisR an R-package implementing distatis et allies methods---3-ways metric multidimentional scaling.
DistatisR.1.1.0 DistatisR an R-package implementing distatis et allies methods---3-ways metric multidimentional scaling.
install.packages('DistatisR')OrangeJuiceSortingRawData: an example of an excel file
with Sorting data and vocabulary. This excel file can be read by
read.df.excel.WinesRankingRawData: an example of an excel file
with (simulated) ranking data. Can be read with the function
read.df.excel().GraphDistatisBoot Plot maps of the factor scores
of the observations and their bootstrapped
confidence intervals (as confidence ellipsoids or peeled hulls)
for a
DISTATIS analysis.distatis analysisdistatis.distatis analysisGraphDistatisCompromise, GraphDistatisPartial,
GraphDistatisBoot, and GraphDistatisRv.cubeOfCovDisdistatis-type
of analysis.distatis analysis.dataSortingWinesdistatis.data output ofread.df.excelread.df.excel reads distatis formated
ranking or sorting data from an excel file.'F4voc' (e.g., output from function
projectVoc).str_BeersProjectiveMappingmulticulturalSortingSpicesR scale function
that avoids the "divide by 0 = NA" problem.dataAmariread.df.excel.Chi2DistanceFromSort:
Creates a 3-dimensional \(\chi^2\)
distance array from the results
of a sorting task.BootFromCompromise: Computes Bootstrap replicates
of the (observation) factor scores by
creating bootstrapped compromises.read.df.excel.DistanceFromRank:
Creates a 3-dimensional distance array from the results
of a ranking task.