"o" - variables measured on ordinal scale, "m" - variables measured on metric scale,
"o/m" - vector with mixed variables - e.g. c("o","m","m","o","o","m")
patternCoordinates
vector containing pattern coordinates c(...) given by the reaseracher for data (for metric variables - NA,
for ordinal variables - one of the categories for each ordinal variable (e.g. maximum category))
Jajuga, K., Walesiak, M., Bak, A. (2003), On the general distance measure, In: M. Schwaiger, O. Opitz (Eds.), Exploratory data analysis in empirical research, Springer-Verlag, Berlin, Heidelberg, 104-109.
Walesiak, M. (1993), Statystyczna analiza wielowymiarowa w badaniach marketingowych [Multivariate statistical analysis in marketing research]. Wroclaw University of Economics, Research Papers no. 654.
Walesiak, M. (1999), Distance Measure for Ordinal Data, "Argumenta Oeconomica", No. 2 (8), 167-173.
Walesiak, M. (2011), Uog<c3><83><c2><b3>lniona miara odleg<c3><85><c2><82>o<c3><85><c2><9b>ci GDM w statystycznej analizie wielowymiarowej z wykorzystaniem programu R [The Generalized Distance Measure GDM in multivariate statistical analysis with R], Wydawnictwo Uniwersytetu Ekonomicznego, Wroclaw.
Walesiak, M. (2014), Wzmacnianie skali pomiaru dla danych porz<c3><84><c2><85>dkowych w statystycznej analizie wielowymiarowej [Reinforcing measurement scale for ordinal data in multivariate statistical analysis], Taksonomia 22, Prace Naukowe Uniwersytetu Ekonomicznego we Wroc<c3><85><c2><82>awiu no. 327, 60-68.
See Also
dist.GDM
Examples
# Example 1
library(clusterSim)
data(data_patternGDM2)
res1<-ordinalToMetric(data_patternGDM2,scaleType="o",patternCoordinates=c(5,4,3,1,1,3))
print(res1)
# Example 2
library(clusterSim)
data(data_patternGDM2)
res2<-ordinalToMetric(data_patternGDM2,scaleType="o",patternCoordinates=c(5,4,3,4,2,4))
print(res2)