similar to: Axes value format

Hello, I am trying to fit my histogram to a smooth Gaussian curve(the data closely resembles one except a few bars). This is my code : #!/usr/bin/Rscript out_file = "irc_20M_opencl_test.png" png(out_file) scan("my.csv") -> myvals hist(myvals, breaks = 50, main = "My Distribution",xlab = "My Values") pdens <- density(myvals, na.rm=T) plot(pdens,

Hi all, I have the following R script : #!/usr/bin/Rscript out_file = "hybrid.pdf" pdf(out_file, height=8.5, width=11) myvalues_1M <- read.csv("hybrid_sims_1M.csv",head=TRUE,sep=",") plot(myvalues_1M$num_sims_per_thread,myvalues_1M$time_per_sim,xlab="Number of Simulations per Thread",ylab="Time per 1 million Simulations(in

Hi all, I am generating histograms with the following R script : #!/usr/bin/Rscript out_file = "histo.png" png(out_file) scan("values.csv") -> myvalues hist(myvalues, breaks = 50) dev.off() print(paste("Plot was saved in:", getwd())) I want the histogram to have a larger number of breaks, but a smaller break width, the idea is to make it appear smoother

Hi all, I am an R newbie trying to do some calculations I do in Mathematica in R on a GNU/Linux system. The main thing I am interested in doing is taking a 0.999 quantile on a data set in a file who's data is normally distributed, say foo.csv. e.g in Mathematica if I have something like this : a=Import["foo.csv"] b=Transpose[a][[1]] Quantile[b,0.999] In R I can load all the data

Hi all, I am an R newbie, and I have a question about scripting. I have the following lines which I want to put int\ o a script which I can call from the shell of a Mac/Linux machine : myrns <- read.csv(file="/Users/vihan/test.csv",sep="",header=FALSE) qqnorm(myrns) qqline(myrns) This works fine on an interactive R session. However, as I understand the basic framework of

> On Aug 18, 2020, at 16:59, Michael Kruse <llvmdev at meinersbur.de> wrote: > > Thanks for all the work. The reductions in stores look promising. Do you also have performance numbers how much this improves the execution time? Did you observe any regressions where MSSA resulted in fewer removed stores? I did not gather numbers for execution time yet, but I’ll try to share some

Hi, I want to make a plot similar to sm1 (attached). The code I tried is: dcols <- densCols(x,y) smoothScatter(x,y, col = dcols, pch=20,xlab="A",ylab="B") abline(h=0, col="red") But it turned out to be s1 (attached) with big dots. I was wondering if anything wrong with my code. Thanks,Zhengyu -------------- next part -------------- A non-text

Dear list, Is there a elegant way to name multiple ordered plot as A, B, C and D? Just put A, B, C and D on the top left corner of each plot. Usually I do it in Illustrator, but I think in R should there is a way. Could you please provide a example? Thank you very much in advance.

I seem to be doing something really stupid or missing something really obvious but what? I have a simple three column data.frame that I would like to reshape to wide preferably using reshape2. An example from http://stackoverflow.com/questions/9617348/reshape-three-column-data-frame-to-matrix looked perfect except I wanted a data frame but it seemed okay. I just changed acast to dcast and it

hi i try to do a graph of a time series which shows in red the values > -0.05, in blue the values >0.05 and in white the values between -0.05 and 0.05 for un exemple :http://www.appinsys.com/globalwarming/enso.htm thanks !!!!! denisse -- View this message in context: http://r.789695.n4.nabble.com/how-to-do-a-graph-with-tree-different-colors-tp4635206.html Sent from the R help mailing

Also, it is possible to change "ylim" also? 2012/7/1 li li <hannah.hlx@gmail.com> > Dear all, > I have a few questions regarding the boxplot output from the > "geom_boxplot" function. > Attached is the output I get. Below are my questions: > > 1. How can I define the xlab and ylab myself? > Also I would like to remove

Hello all, I'm just starting to learn R and I heard a good way of doing that was R Commander. For my work I use a lot of time series, so I installed (and loaded) R Commander with epack. When I go to Ts-Models, after loading my data, I click on ARIMA Models tab. I load my variable D1 Ln Demand (1st differenced ln demand). I set my regular and seasonal p d q settings hit run and I get: [1]

Hello This request asks something beyond the technicalities of the R language, I would like to ask you wonderful people if you have ever suffered as programmers ( or de facto programmers like myself though I am a 'research assistant') from tendonitis and how you coped with it, i have golfer's elbow on both sides. Any resources? Pancho Mulongeni Namibia

Hello, I have a data set that looks like this: name G-ID test_id g-id g 1 00077464 C_068131 C_068131 OC_068131 - 2 00051728 C_044461 C_044461 OC_044461 - 3 00058738 C_050343 C_050343 OC_050343 - 4 00059239 C_050649 C_050649 OC_050649 - 5 00001761 C_000909 C_000909 OC_000909 - 6 00005119 C_002752 C_002752 OC_002752 - locs

Hi Keith,, ggpairs(dat1, upper = list(continuous = "density", combo = "box")) appears to be what you want. John Kane Kingston ON Canada > -----Original Message----- > From: kw1958 at gmail.com > Sent: Tue, 11 Jun 2013 09:25:48 -0400 > To: r-help at r-project.org > Subject: Re: [R] R-help Digest, Vol 124, Issue 12 > > Folks, > > Sorry for

Hi all, I have two vectors (columns) called "efinal" and "efinal 2". I want to plot them on the same plot and "draw" a shaded area beween the two lines using function polygon I have tried all but I don ?t understand the polygon area, can you help me with examples? plot(efinal,type="l",ylim=range(min(efinal2),

Dear all, I need some help on plotting multiple boxplots on one figure. I have three matrix A, B and C. Each of them is a 1000 by 10 matrix. The 10 columns of all three matrix correspond to the 10 values of the same parameter, say k=1, ..., 10. I want to make a plot where x axis represents different values of k. For each k value, I want to plot three boxplots, one on top of another. For

Dear All, I have a data sets as shown below A (Patient ID ), B and C are the Concentration of drug in blood on day 1 and day 4, D is the difference in conc. To do this in R I have written a code as follows, identified the number of patients who have more concentration on day 4 . Here I want to identify specifically the patient ID (is he patient 1 or 2 or 5 and 7), whose concentration is more. How

I would like to plot two data sets (frequency (y-axis) of mean values for 0-1(x=axis)) on a single histogram for comparison. The hist() only allow the overlay of two histograms, and although barplot() allows beside=TRUE, it does not show frequency values (like hist) but rather all of the values. Is there any way that I can use the hist() to plot two data sets similar to the barplot(). Any help or

Hello all, Let say I have 2-way contingency table: Tab <- matrix(c(8, 10, 12, 6), nr = 2) and the Chi-squared test could not reject the independence: > chisq.test(Tab) Pearson's Chi-squared test with Yates' continuity correction data: Tab X-squared = 1.0125, df = 1, p-value = 0.3143 However I want to get all possible contingency tables under this independence