Hi Shanthi, May be this link helps you (http://stats.stackexchange.com/questions/10328/using-rs-phyper-to-get-the-probability-of-list-overlap).
A.K. ________________________________ From: Shanthi Mulinti <shanthimuli...@gmail.com> To: arun <smartpink...@yahoo.com> Sent: Wednesday, May 15, 2013 10:25 AM Subject: Re: Displaying median value over the horizontal(median)line in the boxplot Arun, I am very sorry for bothering you but I wanted to ask you if you have any suggestions on using and interpreting Phyper output. I am working with expression data from two different treatments(two gene lists) and would like to know if the overlap of genes between the gene lists is by chance or is it significant. Based on literature search it says use hypergeometric distribution - Phyper in R. Here is my data Total number of genes 26062 Gene list 1 - 1000 Gene list 2 - 1000 Overlap between two lists - 233 Now this is what I did phyper(233, 1000, 26062, 1000, lower.tail = FALSE, log.p = FALSE) [1] 2.539644e-123 and got the answer. Can please some tell me how to interpret the output and also if I am doing it right, So with that output how can I say that the overlap between two geen lists is by chance or if it is significant. Thank you very much in advance. I am still in the learning curve and would appreciate any help. Thank you Shanthi On Thu, Mar 21, 2013 at 4:19 PM, arun <smartpink...@yahoo.com> wrote: Hi, >set.seed(45) >test1<-data.frame(columnA=rnorm(7,45),columnB=rnorm(7,10)) #used an example >probably similar to your actual data >apply(test1,2,function(x) sprintf("%.1f",median(x))) >#columnA columnB ># "44.5" "10.2" >par(mfrow=c(1,2)) >lapply(test1,function(x) {b<- >boxplot(x,range=0,horizontal=TRUE);mtext(sprintf("%.1f",b$stats[3]),side=3,at=b$stats[3],line=-8)}) >A.K. > > > >----- Original Message ----- >From: "shanthimuli...@gmail.com" <shanthimuli...@gmail.com> >To: smartpink...@yahoo.com >Cc: >Sent: Thursday, March 21, 2013 4:05 PM >Subject: Re: Displaying median value over the horizontal(median)line in the >boxplot > >Here is what I am doing >my=read.csv("test.csv") >apply(my,2,median,na.rm=TRUE) >b<-boxplot(my,range=0, pars=list(boxwex=0.6)) >After this I am not sure how to automatically list the median in each of the >two boxplots > >test.csv has >columnA columnB >1 1 >2 2 >3 3 >4 4 >5 5 >6 6 >7 7 > >Finally how do I control the output. My actual data has a median value of >7.642552 but I only want it to be displayed as 7.6. > >Thank you so much for your help. I am very sorry for troubling you but I am >very very new to this programming and to R as you can see. > > > ><quote author='arun kirshna'> >Hi, >Lines1<-readLines(textConnection("Column1 -1,2,3,4,5,6,6,7 >COlumn2- 3,4,5,6,7,8,8 >Column3-- 45,66,7,8,89, >COlumn4-5,6,7,7,8,9 >Column5 -5,6,7,8,8")) >vec1<-unlist(strsplit(Lines1,"-")) > >dat1<-as.data.frame(t(read.table(text=vec1[grepl(",",vec1)],sep=",",fill=TRUE))) >row.names(dat1)<-NULL >colnames(dat1)<-tolower(gsub(" $","",vec1[grepl("^C",vec1)])) >dat1 ># column1 column2 column3 column4 column5 >#1 1 3 45 5 5 >#2 2 4 66 6 6 >#3 3 5 7 7 7 >#4 4 6 8 7 8 >#5 5 7 89 8 8 >#6 6 8 NA 9 NA >#7 6 8 NA NA NA >#8 7 NA NA NA NA >apply(dat1,2,median,na.rm=TRUE) >#column1 column2 column3 column4 column5 ># 4.5 6.0 45.0 7.0 7.0 > >#to save it as a pdf >pdf("Shanthiboxplot.pdf") >par(mfrow=c(3,2)) >lapply(dat1,function(x) >{b<-boxplot(x,range=0,horizontal=TRUE);mtext(b$stats[3],side=3,at=b$stats[3],line=-8)}) >dev.off() > >#to just print it on screen >par(mfrow=c(3,2))# you can change this according to your need >lapply(dat1,function(x) >{b<-boxplot(x,range=0,horizontal=TRUE);mtext(b$stats[3],side=3,at=b$stats[3],line=-8)}) >A.K. ></quote> >Quoted from: >http://r.789695.n4.nabble.com/Displaying-median-value-over-the-horizontal-median-line-in-the-boxplot-tp4661854p4661935.html > > ______________________________________________ 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.