so I transformed my data from the previous email to look like this: > head(tot) dat type 1 -3.962 inter.individual.variance 2 -4.301 inter.individual.variance 3 -1.690 inter.individual.variance 4 -0.375 inter.individual.variance 5 1.816 inter.individual.variance 6 0.138 inter.individual.variance > tail(tot) dat type 31177 -4.09 intra.individual.variance 31178 -4.64 intra.individual.variance 31179 -5.57 intra.individual.variance 31180 -2.96 intra.individual.variance 31181 -4.43 intra.individual.variance 31182 -3.60 intra.individual.variance
then I can make plot using this: densityplot(~dat,data=tot, groups=type, par.settings = list(superpose.line = list(col = c("blue","red"))), xlab="log2 (variance)", plot.points=FALSE, auto.key=TRUE) and calculate my p value with t test, say it is 0.005 But how to add that p value in between distribution of the curves? Thanks Ana On Tue, Feb 11, 2020 at 12:54 PM Ana Marija <sokovic.anamar...@gmail.com> wrote: > > Hi, > > I have data like this: > > > head(a) > X geneID inter.individual.variance > intra.individual.variance F.value p.value CV > 1 3iUZ.47hLFki49VR4o MLLT10 0.0642 > 0.01395 4.60 1.00e-05 0.0222 > 2 fEn1QlU0MCVe9GeR64 C1orf123 0.0507 > 0.00671 7.57 1.00e-08 0.0172 > 3 ud_tTlU5LtB478JxIk FSD1L 0.3100 > 0.02682 11.56 1.00e-11 0.0639 > 4 3KV3OJIIRuJ5KJ6VkI TXNDC11 0.7710 > 0.02813 27.41 9.99e-19 0.0688 > 5 o_rupcEAKnQqnoh6ec CYB5R2 3.5209 > 0.03391 103.83 9.99e-31 0.1357 > 6 Nk_t6ULcQ7VDNChBRU GBP1 1.1005 > 0.09522 11.56 9.98e-12 0.0773 > > I would like to create density plot, like the attached between > "inter.individual.variance" and "intra.individual.variance" and have p > value between those two curves. > > Please advise, > Ana ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.