# NOT RUN {
# load example data:
data(dat)
# add obligatory columns Cues, Outcomes, and Frequency:
dat$Cues <- paste("BG", dat$Shape, dat$Color, sep="_")
dat$Outcomes <- dat$Category
dat$Frequency <- dat$Frequency1
head(dat)
dim(dat)
# now use createTrainingData to sample from the specified frequencies:
train <- createTrainingData(dat)
# this training data can actually be used train network:
wm <- RWlearning(train)
# final weight matrix:
getWM(wm)
# ... which is the same as:
wm[[length(wm)]]
# 25th learning event:
getWM(wm, event=25)
# ... which is the same as:
wm[[25]]
# }
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