[R] help with nesting if else statements

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Wed Sep 23 21:09:29 CEST 2020


Nested ifelse()'s are confusing and invite error.

Just use ?within and subscript with your conditions:

dat$PHENO <- NA  ## initialize PHENO
> dat <-  ## to return the modified result
within(dat, {
+     PHENO[CURRELIG ==1] <- 1
+     PHENO[CURRELIG == 1 & PLASER == 2] <- 2
+     PHENO[CURRELIG == 1 & RTNPTHY == 1] <- 1
+ })
> dat
       FID   IID CURRELIG PLASER RTNPTHY PHENO
1  fam5610 G5610        1      1       1     1
2  fam5614 G5614        1      2       2     2
3  fam5615 G5615        1      1       1     1
4  fam5618 G5618        1      1       2     1
5  fam5621 G5621        1      1       1     1
6  fam5624 G5624        1      1       2     1
7  fam5625 G5625        1      1       1     1
8  fam5628 G5628        1      2       2     2
9  fam5633 G5633        1      2       2     2
10 fam5634 G5634        1      1       1     1
11 fam5635 G5635        2      2       2    NA
12 fam5636 G5636        1      1       1     1
13 fam5641 G5641        1      1       1     1
14 fam5645 G5645        2      1       2    NA
15 fam5646 G5646        2      2       2    NA
16 fam5654 G5654        1      2       2     2
17 fam5655 G5655        1      2       2     2
18 fam5656 G5656        2      2       2    NA
19 fam5658 G5658        1      1       1     1
20 fam5659 G5659        2      2       2    NA
21 fam5660 G5660        1      1       1     1
22 fam5661 G5661        2      2       2    NA
23 fam5664 G5664        1      1       1     1
24 fam5666 G5666        1      1       1     1
25 fam5667 G5667        1      1       2     1
26 fam5670 G5670        1      1       1     1
27 fam5671 G5671        1      1       2     1
28 fam5672 G5672        1      1       2     1
29 fam5673 G5673        1      1       1     1
30 fam5680 G5680        1      2       2     2
31 fam5686 G5686        1      2       2     2
32 fam5687 G5687        1      2       2     2
33 fam5688 G5688        1      1       2     1
34 fam5693 G5693        2      1       1    NA
35 fam5695 G5695        1      1       1     1
36 fam5697 G5697        1      1       1     1
37 fam5700 G5700        1      2       2     2
38 fam5701 G5701        1      1       1     1
39 fam5706 G5706        1      1       2     1
40 fam5709 G5709        1      1       1     1
41 fam5713 G5713        1      1       1     1
42 fam5715 G5715        1      1       1     1
43 fam5718 G5718        1      1       1     1


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 Wed, Sep 23, 2020 at 9:44 AM Ana Marija <sokovic.anamarija using gmail.com>
wrote:

> Hello,
>
> I have a data frame as shown bellow.
> I want to create a new column PHENO which will be defined as follows:
> if CURRELIG==1 -> PHENO==1
> in the above subset those that have:
> PLASER==2 -> PHENO==2
> and
> those where RTNPTHY==1 -> PHENO==1
>
> I tried doing this:
> a$PHENO=ifelse(a$CURRELIG==1 | a$RTNPTHY==1  ,1,ifelse(a$PLASER==2 |
> a$RTNPTHY==2,2,NA))
>
> but this give me some lines where I am not seeing results that I want,
> for example:
> FID           IID CURRELIG PLASER RTNPTHY PHENO
> fam5628 G5628        1                 2       2                1
>
> here the PHENO should be =2 because RTNPTHY==2 and PLASER==2
> PHENO should be ==2 when either RTNPTHY==2 or PLASER==2
>
> another wrong line is this:
> FID              IID CURRELIG PLASER RTNPTHY PHENO
> fam5706    G5706        1            1                 2             1
>
> again RTNPTHY ==2 and PHENO==1 instead of 2.
>
> My data looks like this:
> FID  IID CURRELIG PLASER RTNPTHY
> fam5610 G5610        1      1       1
> fam5614 G5614        1      2       2
> fam5615 G5615        1      1       1
> fam5618 G5618        1      1       2
> fam5621 G5621        1      1       1
> fam5624 G5624        1      1       2
> fam5625 G5625        1      1       1
> fam5628 G5628        1      2       2
> fam5633 G5633        1      2       2
> fam5634 G5634        1      1       1
> fam5635 G5635        2      2       2
> fam5636 G5636        1      1       1
> fam5641 G5641        1      1       1
> fam5645 G5645        2      1       2
> fam5646 G5646        2      2       2
> fam5654 G5654        1      2       2
> fam5655 G5655        1      2       2
> fam5656 G5656        2      2       2
> fam5658 G5658        1      1       1
> fam5659 G5659        2      2       2
> fam5660 G5660        1      1       1
> fam5661 G5661        2      2       2
> fam5664 G5664        1      1       1
> fam5666 G5666        1      1       1
> fam5667 G5667        1      1       2
> fam5670 G5670        1      1       1
> fam5671 G5671        1      1       2
> fam5672 G5672        1      1       2
> fam5673 G5673        1      1       1
> fam5680 G5680        1      2       2
> fam5686 G5686        1      2       2
> fam5687 G5687        1      2       2
> fam5688 G5688        1      1       2
> fam5693 G5693        2      1       1
> fam5695 G5695        1      1       1
> fam5697 G5697        1      1       1
> fam5700 G5700        1      2       2
> fam5701 G5701        1      1       1
> fam5706 G5706        1      1       2
> fam5709 G5709        1      1       1
> fam5713 G5713        1      1       1
> fam5715 G5715        1      1       1
> fam5718 G5718        1      1       1
>
> Please advise,
> Ana
>
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