From: jim holtman <jholtman_at_gmail.com>

Date: Thu, 14 Feb 2008 15:41:39 -0500

[10,] 20 20

*> x[,colnames(z)] <- z[, colnames(z)]
*

*> x
*

Date: Thu, 14 Feb 2008 15:41:39 -0500

*> x <- data.frame(a=1:10, b=1:10, c=1:10, d=1:10)
**> z <- cbind(c=11:20, d=11:20)
**> z
*

c d

[1,] 11 11 [2,] 12 12 [3,] 13 13 [4,] 14 14 [5,] 15 15 [6,] 16 16 [7,] 17 17 [8,] 18 18 [9,] 19 19

[10,] 20 20

a b c d

1 1 1 11 11

2 2 2 12 12

3 3 3 13 13

4 4 4 14 14

5 5 5 15 15

6 6 6 16 16

7 7 7 17 17

8 8 8 18 18

9 9 9 19 19

10 10 10 20 20

*>
*

On 2/14/08, Jorge Iván Vélez <jorgeivanvelez_at_gmail.com> wrote:

> Dear R-list,

*>
**> I'm working with a data frame which dimensions are
**>
**> > dim(GERU)
**> [1] 3468 318
**>
**> and looks like
**>
**> > GERU[1:10,1:10]
**> ped ind par1 par2 sex sta rs7696470 rs7696470.1 rs1032896 rs1032896.1
**> 1 USA5854 2 0 0 2 1 4 4 1 1
**> 2 USA5854 3 1 2 1 1 4 4 1 1
**> 3 USA5854 4 1 2 2 2 1 4 1 3
**> 4 USA5854 5 1 2 1 2 4 2 2 1
**> 5 USA5855 1 0 0 1 1 0 0 0 0
**> 6 USA5855 2 0 0 2 2 1 0 0 0
**> 7 USA5855 3 1 2 1 2 0 2 0 0
**> 8 USA5855 4 1 2 1 1 2 0 2 1
**> 9 USA5855 5 1 2 1 2 0 1 0 0
**> 10 USA5856 1 0 0 1 1 3 3 3 3
**>
**> What I would like to do is:
**>
**> 1. Identify which column (from 6 to 318) has more than 4 categories (I
**> solved that). In GERU would be rs7696470 and rs7696470.1.
**> 2. Using the columns in step 1, replace its entries equals to 2 for 3. For
**> example, rs7696470 would be 4,4,1,4,0,1,0,3,0,3 and so on.
**> 3. Once replaced the entries, I need to rewrite the columns in GERU.
**>
**> Here is what I've done:
**>
**> > # Function to identify columns with 3 or more categories
**> > tx=function(x) ifelse(dim(table(x))>4,1,0)
**>
**> > # Identifying the columns
**> > M4=apply(GUPN[,-c(1:6)],2,tx)
**> > names(which(MR==1)) # Step 1
**> [1] "rs335322" "rs335322.1" "rs186750" "rs186750.1"
**> "rs1565901" "rs1565901.1" "rs1565902"
**> [8] "rs1565902.1" "rs11131334" "rs11131334.1" "rs1948616" "
**> rs1948616.1" "rs4484334" "rs4484334.1"
**> [15] "rs1497921" "rs1497921.1" "rs1391320" "rs1391320.1"
**> "rs1497913" "rs1497913.1" "rs996208"
**> [22] "rs996208.1"
**> > # Step 2
**> > REPLACE=GUPN[,names(which(AR==1))]
**> > RES=apply(REPLACE,2,function(x) ifelse(x==2,3,x))
**> > RES[1:10,1:5]
**> rs335322 rs335322.1 rs186750 rs186750.1 rs1565901
**> 1 1 3 3 3 3
**> 2 1 1 3 3 3
**> 3 3 3 1 3 3
**> 4 1 3 3 3 3
**> 5 0 0 0 0 0
**> 6 0 0 0 0 0
**> 7 0 0 0 0 0
**> 8 0 0 0 0 0
**> 9 0 0 0 0 0
**> 10 1 3 3 3 1
**>
**> Now, the problem I have is replacing the columns in GERU by the columns in
**> RES (step 3). At the end the dimension of the new data set should be
**> 3468x318. Any help would be greatly appreciated.
**>
**> Thanks you so much,
**>
**>
**> Jorge
**>
**> [[alternative HTML version deleted]]
**>
**> ______________________________________________
**> 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 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.Received on Thu 14 Feb 2008 - 20:45:10 GMT

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