search for: _list_

Hi users, I am not sure to understand the help page about do.call. -- do.call(what, args) args: a _list_ of arguments to the function call. The 'names' attribute of 'args' gives the argument names. -- If we take the following sample data: > (tab=as.data.frame(table(factor(1:10)))) Var1 Freq 1 1 1 2 2 1 3 3 1 4 4 1 5 5 1 6 6...

...1 1e+06 0.597 2 2e+06 0.504 3 5e+06 0.327 4 1e+07 0.204 > > strs.missgp intvl.mb ic 1 1e+06 0.67200 2 2e+06 0.62325 3 5e+06 0.51000 4 1e+07 0.38775 > I would like to apply the functions on these data frames piece-wise and create a data frame per function _list_. So I am looking for a final output like this: > case0 gap snps strs 1 1e+06 .. .. 2 2e+06 .. .. 3 5e+06 .. .. Here, case0$snps[1] is, for example, the result of applying the function in missgp0[1] on the entry snps.missgp$ic[1]; and, case0$strs[1] is the result of applying the same...

Hi I have a list that has attributes: attributes(lis[2]) $names [1] "150096_at" I want to use those attributes in a function and then use lapply to apply that function to every element of the list, eg for simplicity's sake: my.fun <- function(x) { attributes(x) } Then l2 <- lapply(lis, my.fun) It seems that "attributes(x)" within the function is not the

Hi all I am using the caret package and having difficulty in obtaining the results using regression, I used the glmnet to model and trying to get the coefficients and the model parameters I am trying to use the extractPrediction to obtain a confusion matrix and it seems to be giving me errors. x<-read.csv("x.csv", header=TRUE); y<-read.csv("y.csv", header=TRUE);