Try something like
rm(list=ls(pattern=y+))
John
2009/2/10 stephen sefick ssef...@gmail.com:
It depends on how the data is set up (I am not an expert), but I have
had good results with the subset function. subset(x, var!=3 var!=4)
this will take the subset of the dataframe x where var is
Hello,
I am trying to do some data cleaning in R. I need to drop observations that
take on certain values of a variable. In STATA I might type something like:
drop if variable name == 3
drop if variable name == 4
Is there an R equivalent of this? I have tried playing around with the
subset
It depends on how the data is set up (I am not an expert), but I have
had good results with the subset function. subset(x, var!=3 var!=4)
this will take the subset of the dataframe x where var is not equal
to 3 or 4.
a - rnorm(25)
var - rep(c(1:5), 5)
x - data.frame(a, var)
subset(x, var!=3
See ?[ and its examples
Also, section 2.7 of An Introduction to R is a good place to start:
http://cran.r-project.org/doc/manuals/R-intro.html#Index-vectors
hth,
Kingsford Jones
On Mon, Feb 9, 2009 at 5:27 PM, jjh21 jjhar...@gmail.com wrote:
Hello,
I am trying to do some data cleaning in
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