David and Rainer,
Thank you both for your responses, you got me on track, I ended up just doing
like so:
trainset <- read.csv('train.csv',head=TRUE)
trainset[,-1] <- binarize(trainset[,-1])
trainset$label <- as.factor(trainset$label)
I appreciate your help
Brian
On Nov 17, 2012, at 11:25 AM
On Nov 16, 2012, at 9:39 PM, Brian Feeny wrote:
I have a dataframe that has a header like so:
class value1 value2 value3
class is a factor
the actual values in the columns value1, value2 and value3 are
0-255, I wish to binarize these using biclust.
I can do this like so:
binarize(dat
Not sure where the problem is?
Since you did not provide sample data, I took the iris data set and converted
it to your structure:
x <- cbind( iris[5], iris[1:3] )
head( x )
Species Sepal.Length Sepal.Width Petal.Length
1 setosa 5.1 3.5 1.4
2 setosa 4.9
I have a dataframe that has a header like so:
class value1 value2 value3
class is a factor
the actual values in the columns value1, value2 and value3 are 0-255, I wish to
binarize these using biclust.
I can do this like so:
binarize(dataframe[,-1])
this will return a dataframe, but then I
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