# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
plotting = function() {
devtools::load_all()
# Line plot
files = list.files(path="output/attrs/", pattern=".RData$")
# Retrieving data for the line plot
aux = lapply(files, function(file){
print(file)
load(paste0("output/attrs/", file)) #temp
mat.mean = Reduce("+", temp)/length(temp)
rr = array(unlist(temp), dim = c(nrow(temp[[1]]), ncol(temp[[1]]), length(temp)))
mat.sd = apply(rr, c(1,2), sd)
colnames(mat.sd) = c("sd.limiar", "sd.keman", "sd.svm")
df = cbind(mat.mean, mat.sd)
df = data.frame(cbind(df, rownames(df)))
rownames(df) = NULL
df$dataset = gsub(file, pattern="_attrs.RData", replacement="")
return(df)
})
final = do.call("rbind", aux)
colnames(final) = c("limiar", "kmean", "svm", "sd.limiar", "sd.kmeans", "sd.svm",
"feature", "dataset")
g = getAttrsImportanceLinePlot(data = final)
ggsave(plot = g, file = "AttrLinePlot.eps", height = 6, width = 11)
}
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
ploting()
# -------------------------------------------------------------------------------------------------
# -------------------------------------------------------------------------------------------------
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