[R] truncating values into separate categories

[PDXRugger]

I must apoligize, as i want clear of what i wanted to occur.  i dont want to
count the occurences but rather recode them.  I am trying to replace all of
the values with the new coded values in Person_CAT.  SO NP <- c(1,  1,  2, 
1, 1,  2,  2,  1,  4,  1,  0,  5,  
+ 3,  3,  1,  5,  3, 5, 1, 6, 1, 2, 2, 2,
+ 4, 4, 1, 2, 1, 3, 3, 1,  2,  2,  1,  2, 1, 2,
+ 2, 3, 1, 1, 4, 4, 1, 1, 1, 2, 2, 2)




and Person_CAT: 1, 1, 2, 1, 1, 2, 2, 1, 4, 1, NA, 4..... and so on.  This
task would easily be done in SPSS but i am trying to automate it using R.  I
hope this is more clear, 





Bill.Venables wrote:
> 
> Here is a suggestion:
> 
>> Per <- c("NA", "1", "2", "3","4")
>> NP <- c(1,  1,  2,  1, 1,  2,  2,  1,  4,  1,  0,  5,  
> + 3,  3,  1,  5,  3, 5, 1, 6, 1, 2, 2, 2,
> + 4, 4, 1, 2, 1, 3, 3, 1,  2,  2,  1,  2, 1, 2,
> + 2, 3, 1, 1, 4, 4, 1, 1, 1, 2, 2, 2)
>> Person_CAT <- cut(NP, breaks = c(0:4, Inf)-0.5, labels = Per)
>> table(Person_CAT)
> Person_CAT
> NA  1  2  3  4 
>  1 19 15  6  9 
>>  
> 
> You should be aware, though, that items corresponding to the level "NA"
> will NOT be treated as missing.
> 
> 
> Bill Venables
> http://www.cmis.csiro.au/bill.venables/ 
> 
> 
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
> On Behalf Of PDXRugger
> Sent: Friday, 31 July 2009 9:54 AM
> To: r-help at r-project.org
> Subject: [R] truncating values into separate categories
> 
> 
> Hi all, 
>   Simple question which i thought i had the answer but it isnt so simple
> for
> some reason.  I am sure someone can easily help.  I would like to
> categorize
> the values in NP into 1 of the five values in "Per", with the last
> category("4") representing values >=4(hence 4:max(NP)).  The problem is
> that
> R is reading max(NP) as multiple values instead of range so the lengths of
> the labels and the breaks are not matching.  Suggestions?
> 
> Per <- c("NA", "1", "2", "3","4")
> 
> NP=c(1 ,1 ,2 ,1, 1 ,2 ,2 ,1 ,4 ,1 ,0 ,5 ,3 ,3 ,1 ,5 ,3, 5, 1, 6, 1, 2, 2,
> 2,
> 4, 4, 1, 2, 1, 3, 3, 1 ,2 ,2 ,1 ,2, 1, 2,
> 2, 3, 1, 1, 4, 4, 1, 1, 1, 2, 2, 2)
> 
> Person_CAT <- cut(NP, breaks=c(0,1,2,3,4:max(NP)), labels=Per)
> 
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