On Oct 10, 2009, at 7:49 PM, Ashta wrote:
Thanks. This helps. How do I generate P?
Will this work?
p1<-pnorm(mean=0, std=1)
p2<-pnorm(mean=0, std=1)
Seems unlikely. You are not supplying sufficient arguments for the
pnorm function for one thing. For another I suspect you really want
the rnorm function and the first argument to it is the number of
random numbers to return:
Perhaps
p1<-rnorm(200. mean=0, std=1)
p2<-pnorm(200, mean=0, std=1)
x <- cbind(x, v1=ifelse(x[,'p'] > 0.4, 1, 0), v2=ifelse(x[,'2'] >
0.6, 0,
1))
Jim's suggestion will work but even simpler would be:
x <- cbind(x, v1 = (p1>0.4)+0, v2 = (p2> 0.6)+0 )
If the 'data set' is a dataframe, the following will work:
x$v1 <- ifelse(x$p > 0.4, 1, 0)
x$v2 <- ifelse(x$p > 0.6, 1, 0)
If it is matrix, try
x <- cbind(x, v1=ifelse(x[,'p'] > 0.4, 1, 0), v2=ifelse(x[,'p'] >
0.6, 1,
2))
On Sat, Oct 10, 2009 at 6:32 PM, jim holtman <jholt...@gmail.com>
wrote:
If the 'data set' is a dataframe, the following will work:
x$v1 <- ifelse(x$p > 0.4, 1, 0)
x$v2 <- ifelse(x$p > 0.6, 1, 0)
If it is matrix, try
x <- cbind(x, v1=ifelse(x[,'p'] > 0.4, 1, 0), v2=ifelse(x[,'p'] >
0.6, 1,
2))
If helps a lot if you follow the posting rules and provide
commented,
minimal, self-contained, reproducible code.
On Sat, Oct 10, 2009 at 6:04 PM, Ashta <sewa...@gmail.com> wrote:
Hi all,
I have a data set called x with 200 rows and 12 columns. I
want
create two more columns based on probability. ie
if p >0 .4 then v1 =1 else v1=0;
if p >0 .6 then v2 =1 else v2=0;
Finally x will have 14 variables.
Can any one show me how to do that?
Thanks
Ashta
.
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--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
