Given all these NA formatting replies - I have a question of my own.
I too have an object like foo.dat from the pervious posts:
foo.dat <- cbind(c(NA, 1, 2, 3, 4, 5), c(NA, NA, 0, 10 ,20, 30))
> foo.dat
[,1] [,2]
[1,] NA NA
[2,] 1 NA
[3,] 2 0
[4,] 3 10
[5,] 4 20
[6,] 5 30
and I have vector I want to subtract from each column of foo.dat say:
foo.subtract <- c(0.1, 0.2, 0.3, 0.4, 0.5)
I want to perform the subtraction from foo.dat but preserve the
structure of the data. I.e.,
[,1] [,2]
[1,] NA NA
[2,] 0.9 NA
[3,] 1.8 -0.1
[4,] 2.7 9.8
[5,] 3.6 19.7
[6,] 4.5 29.6
The final formatting of foo.dat has to be intact - I can't just shove
the NAs to the bottom. I tried to order the data in an apply function
but couldn't make it work.
Thanks, Andy
-----Original Message-----
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]] On Behalf Of Tim Sharac
Sent: Wednesday, February 12, 2003 1:42 PM
To: [EMAIL PROTECTED]
Subject: [R] Matrix formatting
Hi R-users:
I have a data formatting question. I have a data set that looks
something like this:
foo.dat <- cbind(c(NA, 1, 2, 3, 4, 5), c(NA, NA, 0, 10 ,20, 30))
What I have:
[,1] [,2]
[1,] NA NA
[2,] 1 NA
[3,] 2 0
[4,] 3 10
[5,] 4 20
[6,] 5 30
I want to line up the columns by the first value that is not NA. Like
so:
[,1] [,2]
[1,] 1 0
[2,] 2 10
[3,] 3 20
[4,] 4 30
[5,] 5 NA
[6,] NA NA
Question is: Is there an elegant way to do this without a for loop?
I tried doing this with na.omit and na.exclude without success.
The real data is many hundreds of columns and many thousands of rows.
Thanks in advance, Tim
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