Displaying 3 results from an estimated 3 matches for "33_55".
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3355
2017 Nov 19
1
Complicated analysis for huge databases
Thanks but a new error appeared with the loop :
Error in x + 1 : non-numeric argument to binary operator
I think this can be solved by converting columns (I,II,II,..600) into "numeric" instead of
the current "int" type as shown below in the structure of "33_55" dataframe .
$ 33_55:'data.frame': 256 obs. of 600 variables:
..$ MealsCombinations : chr [1:256] "33_55" "33_55" ....
..$ ID : num [1:256] 1 3 5 ...
..$ I : int [1:256] 1 1 2 1 1 2 1 2 1 1...
2017 Nov 18
0
Complicated analysis for huge databases
On 18/11/2017 4:40 PM, Allaisone 1 wrote:
>
> The loop :
>
>
> AllMAFs <- list()
>
> for (i in length(SeparatedGroupsofmealsCombs) {
> AllMAFs[[i]] <- apply( SeparatedGroupsofmealsCombs[[i]], 2, function(x)maf( tabulate( x+1) ))
> }
>
>
> gives these errors (I tried this many times and I'm sure I copied it entirely) :-
>
> Error in
2017 Nov 18
3
Complicated analysis for huge databases
The loop :
AllMAFs <- list()
for (i in length(SeparatedGroupsofmealsCombs) {
AllMAFs[[i]] <- apply( SeparatedGroupsofmealsCombs[[i]], 2, function(x)maf( tabulate( x+1) ))
}
gives these errors (I tried this many times and I'm sure I copied it entirely) :-
Error in apply(SeparatedGroupsofmealsCombs[[i]], 2, function(x) maf(tabulate(x + :
object 'i' not found
> }