On Jul 7, 2011, at 4:40 PM, Shant Ch wrote:
Hello R users,
I have two data sets like the following. Form of dataset:
data:
X1 X2 X3 X4 X5
1902 RE 3 594 9
1903 RE 3 1340 7
1904 AA 3 760 14
1908 RE 4 1759 18
1909 EX 2 387 1
2901 AU 6 3116 2
3801 AA 1 304 29
3902 RE 5 2482 6
I need to select rows of a data set based on the common observations
of X1.
Using intersect command I got the common observations of X1 from the
two data
sets as:
common=c(1902, 1904, 1908, 1909, 3801).
Using subset command I can select portions separately. But in
general if I am
given this type of dataset - "data" with large number of rows and
also a list of
X1 - "common" containing many elements, can anyone please let me
know how to
select portion of the data whose X1 values are same as common values.
subset(dfrm, x1 %in% common)
?subset
If any questions let me know.
Shant.
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