The simplest would be to create a variable combining region and
district:
> data$region_district <- with(data, paste(region, district))
> prop.table(xtabs(~region_district+response, data), 1)
response
region_district no yes
A d 0.5 0.5
A e 0.0 1.0
B f 0.5 0.5
B g 0.5 0.5
C h 0.5 0.5
C i 0.0 1.0
C j 1.0 0.0
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] On Behalf Of Peter Maclean
Sent: Sunday, November 10, 2013 12:06 AM
To: r-help@r-project.org
Subject: Re: [R] Cross Tabulation
#Would like to create a cross-table (Region, district, response)
and
#(Region, district, cost. The flat table function does not look
so good
region <- c("A","A","A","A","B","B", "B", "B", "C","C", "C",
"C")
district <- c("d","d","e","e","f","f", "g", "g", "h","h", "i",
"j")
response <- c("yes", "no", "yes", "yes", "no", "yes", "yes",
"no", "yes", "no", "yes","no")
cost <- runif(12, 5.0, 9)
var <- c("region", "response", "district")
data <- data.frame(region, district, response, cost)
var1 <- c("region", "district", "response")
var2 <- c("region", "district", "cost")
data1 <- data[var1]
#This look okay
with(data, aggregate(x=cost, by=list(region, district),
FUN="mean"))
#This does not look good
#How do i remove the NaN or create a better one
prop.table(ftable(data1, exclude = c(NA, NaN)), 1)
prop.table(ftable(xtabs(~region + district+ response,
data=data)),1)
Peter Maclean
Department of Economics
UDSM
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible
code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
