Andrija,
Thank you very much this worked very well and i was also able to calculate the
Mann-Whitney test and the confidence intervals using the wilcox test.
--- On Thu, 3/10/11, andrija djurovic wrote:
From: andrija djurovic
Subject: Re: [R] Fw: random sampling steps in R with
Hi:
To get the samples, here's one approach:
df <- data.frame(gender = rep(c('F', 'M'), c(165, 42)), y = rpois(207, 20))
# Sampling function to take 20 F and 20 M with replacement
# The sample function operates on the rows of df to get idx and then takes
# the y's corresponding to those rows
sfun
Hi Taby,
this is not best solution for sure but it will give you, maybe, some ideas
:)
I am also looking forward to see other solutions.
data<-data.frame(id=1:(165+42),x=rep(c("male","female"),c(42,165)))
f<-function(x) {
str.sample<-list()
for (i in 1:length(levels(x$x)))
{
str.sample[[i]]<-x[x$
Please note is with replacement
From: taby gathoni
To: R help
Sent: Thursday, March 10, 2011 11:53 AM
Subject: [R] random sampling steps in R
Dear all,
Could someone assist me in random sampling steps/code in R? I have a main
sample of 42 males and 165 females and I want to come up with a
4 matches
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