[R] Data transformation

[legen]

That's what I want. Many thanks for your help.
Legen



jholtman wrote:
> 
> Try this:
> 
>> x <- read.table(textConnection("id    code1    code2         p
> +  1        4        8           0.1
> +  1        5        7           0.9
> +  2        1        8           0.4
> +  2        6        2           0.2
> +  2        4        3           0.6
> +  3        5        6           0.7
> +  3        7        5           0.9"), header=TRUE)
>>  closeAllConnections()
>>  # create object like output from 'melt'
>>  x.m <- data.frame(id=c(x$id, x$id),
> +                    var=paste('var', c(x$code1, x$code2), sep=''),
> +                    variable=rep('p', 2*nrow(x)),
> +                    value=c(x$p, x$p))
>> require(reshape)  # use the reshape package
>> (x.n <- cast(x.m, id ~ var, function(.dat){
> +     if (length(.dat) == 0) return(0)  # test for no data; return
> zero if that is the case
> +     mean(.dat)
> + }))
>   id var1 var2 var3 var4 var5 var6 var7 var8
> 1  1  0.0  0.0  0.0  0.1  0.9  0.0  0.9  0.1
> 2  2  0.4  0.2  0.6  0.6  0.0  0.2  0.0  0.4
> 3  3  0.0  0.0  0.0  0.0  0.8  0.7  0.9  0.0
>>
> 
> 
> On Tue, Nov 10, 2009 at 11:10 PM, legen <legendy at gmail.com> wrote:
>>
>> Thank you for your kind help. Your script works very well. Would you
>> please
>> show me how to change NaN to zero and column variables 1, 2, ..., 8 to
>> var1,
>> var2, ..., var8? Thanks again.
>>
>> Legen
>>
>>
>>
>> jholtman wrote:
>>>
>>> Is this what you want:
>>>
>>>> x <- read.table(textConnection("id    code1    code2         p
>>> +  1        4        8           0.1
>>> +  1        5        7           0.9
>>> +  2        1        8           0.4
>>> +  2        6        2           0.2
>>> +  2        4        3           0.6
>>> +  3        5        6           0.7
>>> +  3        7        5           0.9"), header=TRUE)
>>>>  closeAllConnections()
>>>>  # create object like output from 'melt'
>>>>  x.m <- data.frame(id=c(x$id, x$id), var=c(x$code1, x$code2),
>>> +     variable=rep('p', 2*nrow(x)), value=c(x$p, x$p))
>>>> require(reshape)  # use the reshape package
>>>> cast(x.m, id ~ var, mean)
>>>   id   1   2   3   4   5   6   7   8
>>> 1  1 NaN NaN NaN 0.1 0.9 NaN 0.9 0.1
>>> 2  2 0.4 0.2 0.6 0.6 NaN 0.2 NaN 0.4
>>> 3  3 NaN NaN NaN NaN 0.8 0.7 0.9 NaN
>>>>
>>>
>>>
>>>
>>> On Tue, Nov 10, 2009 at 4:30 PM, legen <legendy at gmail.com> wrote:
>>>>
>>>> Dear all,
>>>>
>>>> I have a dataset as below:
>>>>
>>>> id    code1    code2         p
>>>>  1        4        8           0.1
>>>>  1        5        7           0.9
>>>>  2        1        8           0.4
>>>>  2        6        2           0.2
>>>>  2        4        3           0.6
>>>>  3        5        6           0.7
>>>>  3        7        5           0.9
>>>>
>>>> I just want to rewrite it as this (vertical to horizontal):
>>>>
>>>> id   var1  var2  var3  var4  var5  var6  var7  var8
>>>> 1        0      0      0    0.1   0.9       0   0.9    0.1
>>>> 2     0.4    0.2   0.6    0.6      0    0.2      0    0.4
>>>> 3        0      0      0      0    0.8    0.7    0.9      0
>>>>
>>>> For the third subject, there are two values being equal to 5 in code1
>>>> and
>>>> code2, but different values in p:  0.7 and 0.9, so I assigned their
>>>> average
>>>> 0.8 in var5.
>>>>
>>>> Does anybody can help me to handle this? Many thanks for your
>>>> consideration
>>>> and time.
>>>>
>>>> Legen
>>>>
>>>> --
>>>> View this message in context:
>>>> http://old.nabble.com/Data-transformation-tp26291568p26291568.html
>>>> Sent from the R help mailing list archive at Nabble.com.
>>>>
>>>> ______________________________________________
>>>> R-help at r-project.org mailing list
>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>>> PLEASE do read the posting guide
>>>> http://www.R-project.org/posting-guide.html
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>
>>>
>>>
>>> --
>>> Jim Holtman
>>> Cincinnati, OH
>>> +1 513 646 9390
>>>
>>> What is the problem that you are trying to solve?
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
>>
>> --
>> View this message in context:
>> http://old.nabble.com/Data-transformation-tp26291568p26295766.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
> 
> 
> -- 
> Jim Holtman
> Cincinnati, OH
> +1 513 646 9390
> 
> What is the problem that you are trying to solve?
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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