R help - Mar 2005 - data.frame, data types, and apply

Dear all,

Here is an issue I often stumble on.

1- colunm types in data.frames.

-------------------------------
> d <- data.frame(x=as.character(c("a", "b",
"c")), y=as.numeric(c(1, 2, 3)))
> d
  x y
1 a 1
2 b 2
3 c 3
> is.numeric(d[1,2])
[1] TRUE
> is.numeric(d[1,1])
[1] FALSE
> apply(d, c(1,2), is.numeric)
      x     y
1 FALSE FALSE
2 FALSE FALSE
3 FALSE FALSE
>
-------------------------------

All item in column "y" should be TRUE right? What should I do to apply
a function only to numerics in d? (beside using nested 'for' loops)

Thanks for your help, and for all the great software.


Vincent Detours

Vincent Detours wrote:
> Dear all,
> 
> Here is an issue I often stumble on.
> 
> 1- colunm types in data.frames.
> 
> -------------------------------
> 
>>d <- data.frame(x=as.character(c("a", "b",
"c")), y=as.numeric(c(1, 2, 3)))
>>d
> 
>   x y
> 1 a 1
> 2 b 2
> 3 c 3
> 
>>is.numeric(d[1,2])
> 
> [1] TRUE
> 
>>is.numeric(d[1,1])
> 
> [1] FALSE
> 
>>apply(d, c(1,2), is.numeric)
> 
>       x     y
> 1 FALSE FALSE
> 2 FALSE FALSE
> 3 FALSE FALSE
> 
> -------------------------------
> 
> All item in column "y" should be TRUE right? What should I do to
apply
> a function only to numerics in d? (beside using nested 'for' loops)
It is correct!
d is a data.frame, but apply() works on matrices. So d is coerced to a 
matrix which means that there need to be only one mode - and that is 
character!

Check the columns as in

   sapply(d, is.numeric)


Uwe Ligges


> Thanks for your help, and for all the great software.
> 
> 
> Vincent Detours
> 
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