[R] Calculating frequencies of multiple values in 200 colomns

[Bert Gunter]

This is not a good way to do things! R has many powerful built in functions
to do this sort of thing for you. Searching  -- e.g. at rseek.org or even a
plain old google search -- can help you find them. Also, it looks like you
need to go through a tutorial or two to learn more about R's basic
functionality.

In this case, something like (no reproducible example given, so can't
confirm):

apply(Values, 2, function(x)maf(tabulate(x)))

should be close to what you want .


Cheers,
Bert







Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Thu, Nov 9, 2017 at 11:44 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote:

>
> Hi All
>
>
> I have a dataset of 200 columns and 1000 rows , there are 3 repeated
> values under each column (7,8,10). I wanted to calculate the frequency of
> each value under each column and then apply the function maf () given that
> the frequency of each value is known. I can do the analysis step by step
> like this :-
>
>
> > Values
>
>
>          A       B       C       ... 200
>
> 1      7       10      7
>
> 2      7       8        7
>
> 3      10     8        7
>
> 4       8      7         10
>
> .
>
> .
>
> .
>
> 1000
>
>
> For column A : I calculate the frequency for the 3 values as follows :
>
>  count7 <- length(which(Values$A == 7))
>
> count8 <- length(which(Values$A == 8))
>
> count10 <- length(which(Values$A == 10))
>
>
> count7 = 2, count8 = 1 , count10= 1.
>
>
> Then, I create a vector  and type the frequencies manually :
>
>
>  Freq<- c( count7=2  ,count8= 1,count10=1)
>
>
> Then I apply the function maf ()  :-
>
> maf(Freq)
>
>
> This gives me the result I need for column A , could you please help me
>
> to perform the analysis for all of the 200 columns at once ?
>
>
> Regards
>
> Allahisone
>
>
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>
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