")$p.value}))
> # Bcl2 Ccl5 Cd27 Cd28
> #0.1250 0.1875 0.8125 0.8125
>
> A.K.
>
>
>
> - Original Message -
> From: David Chertudi
> To: R. Michael Weylandt
> Cc: "r-help@r-project.org"
> Sent: Sunday, September 8, 2013 11:13 PM
The time has come to shake the cobwebs off of this analysis. I have
more data now and need to run the same tests, the same way as above.
My question is this--some of the pairs include NAs, and so are gumming
up the works. I'm not sure how to exclude them using the lhs ~ rhs
syntax. Any ideas her
Hello,
I have a basic panel of histograms as follows, whose current colors don't
matter:
binsize=diff(range(thing$Rate))/64
ggplot(thing, aes(x=Rate, fill=Series)) + geom_histogram(binwidth=binsize) +
facet_grid(Series~.,scales="free")+
labs(fill="Index") +
xlab("Growth Rate (%)") +
Thank you, Michael--it looks like a fantastic package. I'm fairly new to R,
and not at all familiar with the zoo class, but it seems to have great
potential. I'll need to spend some time sorting out how to use regressions in
it, because the syntax used in the examples is alien to me.
Mendi
Hello,
I'm having some issues grouping cases for some Mann-Whitney U tests I'm
attempting to run. I'm willing to use wilcox.test if it'll work; I've also
tried wilcox_test() from the "coin" package. Here's the deal: for each column
(A through H), I would like to run the two-sample independent
5 matches
Mail list logo