I have a function similar to this in R, which uses a df as main argument. However, the df could be empty and I would like to skip those if I run the function using lapply e.g lapply(FileNames, function(y) my.function(y))
my function looks like this
my.function <- function(table) {
file <- read.csv(table, header=T)
if(nrow(table) == 0)
{next}
#skip the df if is empty and stop processing that df
#do more stuffs if not empty
}
I've tried this so far but if the data frame is empty the whole process crashes, any tip?
Aucun commentaire:
Enregistrer un commentaire