random sampling with levels and with replacement
Hi,
I am not perfectly sure what you want to do, but here is what I would do
to maintain good/bad ratio in the sample (as Daniel posted, split the
data and sample from the groups):
df <- data.frame(V1 = 1:400, V2 = c(rep("good",360), rep("bad",40)))
isGood <- which(df$V2=="good")
isBad <- which(df$V2=="bad")
sampleGood <- df[sample(isGood, replace=TRUE),]
sampleBad <- df[sample(isBad, replace=TRUE),]
summary(rbind(sampleGood, sampleBad))
Please include a more specific example with test data (for "final" in
this case) next time.
Best regards,
Andreas
taby gathoni schrieb:
Dear all, i have a dataset of about 400 records , with a variable that has two levels 40 bad and 360 good among other variables,how do i come up with10 random samples that have the composition of as the main sample but maintaining the 40 bad 360 good with replacement, i recently discovered that my random samples generated dont maintain the ratio. My code is as : mysample <- final[sample(1:nrow(final), 400,replace=TRUE),] does not give me the ratio of 40 bad and 360 good can anyone give me some pointers please? Thanks, Taby [[alternative HTML version deleted]] ------------------------------------------------------------------------
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Andreas Borg Medizinische Informatik UNIVERSIT?TSMEDIZIN der Johannes Gutenberg-Universit?t Institut f?r Medizinische Biometrie, Epidemiologie und Informatik Obere Zahlbacher Stra?e 69, 55131 Mainz www.imbei.uni-mainz.de Telefon +49 (0) 6131 175062 E-Mail: borg at imbei.uni-mainz.de Diese E-Mail enth?lt vertrauliche und/oder rechtlich gesch?tzte Informationen. Wenn Sie nicht der richtige Adressat sind oder diese E-Mail irrt?mlich erhalten haben, informieren Sie bitte sofort den Absender und l?schen Sie diese Mail. Das unerlaubte Kopieren sowie die unbefugte Weitergabe dieser Mail und der darin enthaltenen Informationen ist nicht gestattet.