[R] Subsetting problem data

[Peter Alspach]

Tena koe Lib

In case you have receive a reply to this (I didn't notice one), here is one option:

> lib
  A X1 X4 X5
1 A  2  3  3
2 A  3  4 NA
3 B  1  6  6
4 B  2 NA  6
5 C  1  6  5
6 C  3  2  2
> str(lib)
'data.frame':   6 obs. of  4 variables:
 $ A : chr  "A" "A" "B" "B" ...
 $ X1: num  2 3 1 2 1 3
 $ X4: num  3 4 6 NA 6 2
 $ X5: num  3 NA 6 6 5 2
> lib1 <- aggregate(lib[,-1], list(lib[,1]), function(x) length(x[is.na(x)])>0)
> lib1[apply(lib1[,-1], 1, sum)>0,1]
[1] "A" "B"


HTH ...

Peter Alspach

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Lib Gray
Sent: Thursday, 19 July 2012 7:30 a.m.
To: r-help at r-project.org
Subject: [R] Subsetting problem data

Hello, I need to subset my data to only look at the parts that have "holes"
in it. I already have a formula to get rid of inconsistencies, but now I
need to look only at the problem data to reconfigure it. In my data set
where there are multiple "cycles" per "patient," and I want to highlight
the patients who have a variable was not measured every cycle.

Here's a similar example of the data:

Patient, Cycle, Variable1, Variable 2
A, 1, 4, 5
A, 2, 3, 3
A, 3, 4, NA
B, 1, 6, 6
B, 2, NA, 6
C, 1, 6, 5
C, 3, 2, 2

So in this case, I would want Patient A and Patient B, but not Patient C.

Thanks!

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