I noticed that sometimes I get errors in my R scripts when I forget checking whether the dataframe I'm working on is actually empty (has zero rows).
For example, when I used apply like this
apply(X=DF,MARGIN=1,FUN=function(row) !any(vec[ row[["start"]]:row[["end"]] ]))
and DF
happened to be empty, I got an error about the subscripts.
Why is that? Aren't empty dataframes valid? Why does apply()
with MARGIN=1
even try to do anything when there are no rows in the dataframe? Do I really need to add a condition before each such apply to make sure the dataframe isn't empty?
Thank you!
On a side note: apply always accesses the function you use at least once. If the input is a dataframe without any rows but with defined variables, it sends "FALSE" as an argument to the function. If the dataframe is completely empty, it sends a logical(0) to the function.
> x <- data.frame(a=numeric(0))
> str(x)
'data.frame': 0 obs. of 1 variable:
$ a: num
> y <- apply(x,MARGIN=1,FUN=function(x){print(x)})
[1] FALSE
> x <- data.frame()
> str(x)
'data.frame': 0 obs. of 0 variables
> y <- apply(x,MARGIN=1,FUN=function(x){print(x)})
logical(0)
So as Joshua already told you, either control before the apply whether the dataframe has rows, or add a condition in the function within the apply.
EDIT : This means you should take into account that length(x)==0 is not a very good check, you need to check whether either length(x==0) or !x is TRUE if both possibilities could arise : (Code taken from Joshua)
apply(X=data.frame(),MARGIN=1, # empty data.frame
FUN=function(row) {
if(length(row)==0 || !row) {return()}
!any(vec[ row[["start"]]:row[["end"]] ])
})
This has absolutely nothing to do with apply
. The function you are applying does not work when the data.frame is empty.
> myFUN <- function(row) !any(vec[ row[["start"]]:row[["end"]] ])
> myFUN(DF[1,]) # non-empty data.frame
[1] FALSE
> myFUN(data.frame()[1,]) # empty data.frame
Error in row[["start"]]:row[["end"]] : argument of length 0
Add a condition to your function.
> apply(X=data.frame(),MARGIN=1, # empty data.frame
+ FUN=function(row) {
+ if(length(row)==0) return()
+ !any(vec[ row[["start"]]:row[["end"]] ])
+ })
NULL
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