View source: R/sodas_to_rsda.R
SODAS.to.RSDA | R Documentation |
To convert XML SODAS files to RSDA files.
SODAS.to.RSDA(XMLPath, labels = T)
XMLPath |
Disk path where the SODAS *.XML file is. |
labels |
If we want to include SODAS XML files lebels in RSDA file. |
A RSDA symbolic data file.
Olger Calderon and Roberto Zuniga.
Bock H-H. and Diday E. (eds.) (2000). Analysis of Symbolic Data. Exploratory methods for extracting statistical information from complex data. Springer, Germany.
SDS.to.RSDA
## Not run:
# We can read the file directly from the SODAS XML file as follows:
# abalone<-SODAS.to.RSDA('C:/Program Files (x86)/DECISIA/SODAS version 2.0/bases/abalone.xml)
# We can save the file in CSV to RSDA format as follows:
# write.sym.table(sodas.ex1, file='abalone.csv', sep=';',dec='.', row.names=TRUE,
# col.names=TRUE)
# We read the file from the CSV file,
# this is not necessary if the file is read directly from
# XML using SODAS.to.RSDA as in the first statement in this example.
data(abalone)
res <- sym.interval.pca(abalone, "centers")
sym.scatterplot(sym.var(res$Sym.Components, 1), sym.var(res$Sym.Components, 2),
labels = TRUE, col = "red", main = "PCA Oils Data"
)
sym.scatterplot3d(sym.var(res$Sym.Components, 1), sym.var(res$Sym.Components, 2),
sym.var(res$Sym.Components, 3),
color = "blue", main = "PCA Oils Data"
)
sym.scatterplot.ggplot(sym.var(res$Sym.Components, 1), sym.var(res$Sym.Components, 2),
labels = TRUE
)
sym.circle.plot(res$Sym.Prin.Correlations)
## End(Not run)
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