I don't know a clean way of delivering that result but if you use
logical indexing you can get an empty matrix with three columns:
str( mdat["nope" %in% rownames(mdat), ] )
num[0 , 1:3]
- attr(*, "dimnames")=List of 2
..$ : NULL
..$ : chr [1:3] "C.1" "C.2" "C.3"
# it prints thus to the console
mdat[FALSE, ]
# C.1 C.2 C.3
If you have a vector, test_vec of possible matches you could use:
mdat[ rownames(mdat) %in% test_vec, ]
**Yet again I am advising you to post in plain text. It's very easy to
post in plain text from gmail. Please do so.**
--
David.
On 8/8/19 8:43 AM, Christofer Bogaso wrote:
Hi,
Let say I have below matrix
mdat <- matrix(c(1,2,3, 11,12,13), nrow = 2, ncol = 3, byrow = TRUE,
dimnames = list(c("row1", "row2"),
c("C.1", "C.2", "C.3")))
Now I can extract a raw by rowname as
mdat['row1', ]
C.1 C.2 C.3
1 2 3
However I am also looking for was to extract values as NA when a
rowname is supplied which is not existing rownames
I should get
mdat['new_raw', ]
C.1 C.2 C.3
NA NA NA
Current it throws error as default functionality. Is there any way to
force R to provide values as NA instead of showing any errore?
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