Hello all-- I'm trying to quickly, graphically, summarize the differences in the sample proportion of "yes" responses in a 0-1 variable across sites. I'm looking for a quick way to do one of the following: (1) add means onto boxplots (I know there's a boxmeans=T toggle in plot(.), but can I do this on proper boxplots?) (2) run plot.design on data containing NAs? (I have tried fun = function(x) mean(x, na.rm=T) in plot.design(.)). Best, STS -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
plot.design and NAs
2 messages · Steven Sullivan, Uwe Ligges
Steven Sullivan wrote:
Hello all-- I'm trying to quickly, graphically, summarize the differences in the sample proportion of "yes" responses in a 0-1 variable across sites. I'm looking for a quick way to do one of the following: (1) add means onto boxplots (I know there's a boxmeans=T toggle in plot(.),
Is it? I cannot find it.
but can I do this on proper boxplots?)
A quick hack would be something like
a <- rnorm(10)
b <- rnorm(10)
boxplot(a, b)
segments(1:2 - 0.4, mm <- c(mean(a), mean(b)),
1:2 + 0.4, mm, col = "red")
(with the default boxwidth of 0.8 and the placement of the middle of
boxes at 1, 2, ... )
A cleaner solution would be to change the R code of bxp().
(2) run plot.design on data containing NAs? (I have tried fun = function(x) mean(x, na.rm=T) in plot.design(.)).
Well, I cannot find plot.design anywhere; in which package is it included? Uwe Ligges -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._