Hello,
You should keep this in the list, the odds of getting more and better
answers are bigger.
As for your dataset, it doesn't have the same structure as your previous
example. If you want a list with all zeros and NAs removed you can try
(assuming it's named 'dat')
lapply(dat, function(x) x[x != 0 & !is.na(x)])
Hope this helps,
Rui Barradas
Em 28-11-2012 15:12, catalin roibu escreveu:
Hello,
Thanks for your help! But the problem still persist.
My data is in the attach.
Thank you!
On 28 November 2012 14:08, Rui Barradas <ruipbarra...@sapo.pt> wrote:
Hello,
You can't keep the tabular form and not have the same number of elements
in value2, what you can have is a list.
(I'm not seeing much sense in it, but if that's wht you want...)
dat <- read.table(text = "
year value1 value2
1854 0 12
1855 0 13
1866 12 16
1877 11 24
", header = TRUE)
idx <- dat$value1 == 0 | is.na(dat$value1)
result <- vector("list", 3)
names(result) <- names(dat)
result$year <- seq_len(nrow(dat))
result$value1 <- unname(unlist(dat[!idx, 2:3]))
result$value2 <- unlist(dat[idx, 3])
result
Hope this helps,
Rui Barradas
Em 28-11-2012 08:53, catalin roibu escreveu:
Dear R users,
I want to remove zero's or NA values after this model.
year value1 value2
1854 0 12
1855 0 13
1866 12 16
1877 11 24
year value1 value2
1 12 12
2 11 13
3 16
4 24
Thank you!
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