Re: [R] Ignore blank columns when reading a row from a table

Em Ter, 2008-07-01 às 13:49 -0400, [EMAIL PROTECTED] escreveu: > Hi, > > I am extracting data from a table where the rows have different column > lengths, > and empty columns have NA in them. Whenever I extract a row with some empty > columns, the resulting vector carries all the NAs. Is there a

Re: [R] Ignore blank columns when reading a row from a table

Dear Nina, If you have a matrix X like this # Data set set.seed(123) X=matrix(rnorm(10*5),ncol=5) X[1,1]<-NA X[2,1]<-NA X[1,5]<-NA X[5,2]<-NA X and you'd like to remove the NA values for a particular row (for example row 1), you can try something like: X[1,!is.na(X[1,])] Now, if you have a ve

Re: [R] Ignore blank columns when reading a row from a table

It depends what you mean by 'ignore'. Some functions have an na.rm argument which throws out NAs before computing the statistic. if the vector 'x' has NAs, then x <- x[!is.na(x)] may be what you're looking for. This removes NAs from x and reassigns the value to x. [EMAIL PROTECTED] wrote:

[R] Ignore blank columns when reading a row from a table

Hi, I am extracting data from a table where the rows have different column lengths, and empty columns have NA in them. Whenever I extract a row with some empty columns, the resulting vector carries all the NAs. Is there a way to ignore the empty columns? Thanks, -Nina ___