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, David Winsemius wrote:

> 
> 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(dataframe[,-1])
>> 
>> this will return a dataframe, but then I lose my first column class, so I 
>> thought I could combine it like so:
>> 
>> dataframe <- cbind(dataframe$label, binarize(dataframe[,-1]))
> 
> There is no column with the name "label". There is also no function named 
> "label" in base R although I cannot speak about biclust. Even if there were, 
> you cannot apply functions to data.frames with the "$" function.
>> 
>> but then I lose my header (names).............how can I do the above 
>> operation and keep my header in tact?
>> 
>> Basically i just want to binarize everything but the first column (since its 
>> a factor column and not numeric).
> 
> I have no idea how 'binarize' works but if you wanted to 'defactorize' a 
> factor then you should learn to use 'as.character' to turn factors into 
> character vectors. Perhaps:
> 
> dfrm <- cbind( as.character(dataframe[1]), binarize(dataframe[,-1]))
> 
> You should make sure this is still a dataframe since cbind.default  returns a 
> matrix and this would be a character matrix. I'm taking your word that the 
> second argument is a dataframe, and that would mean the cbind.data.frame 
> method would be dispatched.
> 
> It is a rather unfortunate practice to call your dataframes "dataframe" and 
> also bad to name your columns "class" since the first is a fundamental term 
> and the second a basic function. If you persist, people will start talking to 
> you about dogs named "Dog".
> 
> 
> 
> David Winsemius, MD
> Alameda, CA, USA
>

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