Hi there,
See ?"%in%" Here is an example:
> x=sample(1:10)
> x
[1] 2 1 10 5 4 7 3 6 8 9
> y=sample(4:20)
> y
[1] 17 16 18 10 8 19 4 5 11 13 12 14 20 6 7 9 15
> x[x%in%y] # "x" values present in "y"
[1] 10 5 4 7 6 8 9
HTH,
Jorge
On Fri, Sep 5, 2008 at 2:57 PM, Rajasek
?match
> T.v <- sample(1:20)
> C.df <- data.frame(a=1:10, b= sample(1:20, 10))
> T.v
[1] 10 12 9 4 14 11 19 2 18 5 16 6 7 17 8 20 1 13 3 15
> C.df
a b
1 1 10
2 2 17
3 3 8
4 4 5
5 5 2
6 6 16
7 7 19
8 8 7
9 9 18
10 10 14
> # find the missing values
> T.v[is.na(ma
?which
which(C[,2]!= T) # untested
--- On Fri, 9/5/08, Rajasekaramya <[EMAIL PROTECTED]> wrote:
> From: Rajasekaramya <[EMAIL PROTECTED]>
> Subject: [R] comparing two files
> To: r-help@r-project.org
> Received: Friday, September 5, 2008, 2:57 PM
> Hi there
>
Hi there
I have two object on is a vector T and the other is dataframe C.
vector T has more no of rows when comapred with a dataframe Ccolumn[,2].I
want to find the the missing rows in dataframe C.That is those values that
are not matchig in dataframe C[,2]
Kindly give me suggestion on how to
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