Well plot(density(a$frequency), col = "blue")
lines(density(b$frequency), col = "green") Where a is as Jim defined it and b similar from the other data file. Yours sincerely / Med venlig hilsen Frede Aakmann Tøgersen Specialist, M.Sc., Ph.D. Plant Performance & Modeling Technology & Service Solutions T +45 9730 5135 M +45 2547 6050 fr...@vestas.com http://www.vestas.com Company reg. name: Vestas Wind Systems A/S This e-mail is subject to our e-mail disclaimer statement. Please refer to www.vestas.com/legal/notice If you have received this e-mail in error please contact the sender. > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Vivek Das > Sent: 8. juli 2014 12:38 > To: jim holtman > Cc: R help > Subject: Re: [R] Fwd: Need some assistance in plotting distributions > > Dear Jim, > > Thank you for replying to my query. Both the files contains tumor > mutational frequencies. The LG_freq contains the entire mutational > landscape and the HIPS2_freq contains mutational frequency of one clone. I > want to see how both the frequency curve are behaving in one plot. Is that > possible to see in one plot with different colors to distinguish the > frequency distribution of both files in one image where I can see both the > plots. I have tried density plot but could not figure out how to add the > next frequency distribution file to the same plot and see the difference in > both the plots in one image with different colors. Can this be done? > > ---------------------------------------------------------- > > Vivek Das > > > > On Tue, Jul 8, 2014 at 12:19 PM, jim holtman <jholt...@gmail.com> wrote: > > > Have you tried the density function: > > > > > a <- read.table('/users/jim/downloads/LG_freq.txt',header = TRUE) > > > str(a) > > 'data.frame': 669 obs. of 2 variables: > > $ Position : Factor w/ 669 levels "chr1_103381212",..: 308 463 458 160 > > 393 457 165 464 3 467 ... > > $ frequency: num 75 62.5 50 48.9 47.1 ... > > > plot(density(a$frequency)) > > > > > > > > > > > Jim Holtman > > Data Munger Guru > > > > What is the problem that you are trying to solve? > > Tell me what you want to do, not how you want to do it. > > > > > > On Tue, Jul 8, 2014 at 4:30 AM, Vivek Das <vd4mm...@gmail.com> wrote: > > > >> Dear Users, > >> > >> I need some assistance in plotting some distribution enrichments, like I > >> have files with some frequency values, now I want to plot plot the > >> distribution of those frequencies for one sample and then on the same > plot > >> I want to plot the next samples where the frequency comes from another > >> file. Can you tell me which command to use? I would like to see the > >> distribution both in curve and histrogram format. Even if the frequency > >> are > >> not normally distributed I would like to see to what extent they are > >> distributed and how much they are deviated from the normal distribution. > >> However I would expect a Gaussian curve but due to the low frequency in > >> LG_freq it would be not evident. Can you share some snippets for that? > Am > >> attaching the two files, can you please guide me how to do it, I tried > >> with > >> the plot function but I was unable to do, I read somewhere it was possible > >> to do with plot function with type 'L' but am unable to do that. I would > >> need some assistance in this. Thanks > >> > >> > >> > >> ---------------------------------------------------------- > >> > >> Das > >> > >> ______________________________________________ > >> 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. > >> > >> > > > > [[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.
