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
.cubeOfCovDis
distatis
-type
of analysis.distatis
analysis.dataSortingWines
distatis.data
output ofread.df.excel
read.df.excel
reads distatis
formated
ranking or sorting data from an excel file.'F4voc'
(e.g., output from function
projectVoc
).str_BeersProjectiveMapping
multiculturalSortingSpices
R
scale function
that avoids the "divide by 0 = NA" problem.dataAmari
read.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.