convert list to numeric

it appears that what you really want is to use:

task[[i]]

instead of task[i]

b

On Nov 1, 2009, at 11:04 PM, dadrivr wrote:

I would like to preface this by saying that I am new to R, so I  
would ask
that you be patient and thorough, so that I'm not completely  
clueless.  I am
trying to convert a list to numeric so that I can perform  
computations on it
(specifically mean-center the variable), but I am running into  
problems.  I
have imported the data set into "task" (data frame).  The data frame  
is made
of factors with variable names in the first row.  I am running a  
loop to set
a variable equal to a column in the data frame.  Here is an example  
of my
problem:

for (i in 1:dim(task)[2]){
predictor.loop <- c(task[i])
predictor.loop.mc <- predictor.loop - mean(predictor.loop, na.rm=T)
}

I get the following error:
Error in predictor.loop - mean(predictor.loop, na.rm = T) :
 non-numeric argument to binary operator
In addition: Warning message:
In mean.default(predictor.loop, na.rm = T) :
 argument is not numeric or logical: returning NA

The column is entirely made up of numerical data, except for the  
header,
which is a string.  My problem is that I receive an error because the
predictor.loop variable is not numerical, so I need to find a way to  
convert
it.  I tried using:
predictor.loop <- c(as.numeric(task[i]))
But I get the following error: "Error: (list) object cannot be  
coerced to
type 'double'"

If I call the variable, I can assign it to a numerical list (e.g.,  
predictor
loop <- task$variablename), but since I am assigning the variable in  
a loop,
I have to find another way as the variable name would have to change  
in each
loop iteration.  Any help would be greatly appreciated.  Thanks!
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