similar to: fitting a line to a logaritmic plot

Hello, I have a data set of about 300.000 measurements made by an STM which should apporximately fix a normal (Gaussian) distribution. I have imported the data in R and used plot(density()) to get a nice plot of the distribution which in fact looks like a real Gaussian. However, the integral over the surface is not equal to one (I know since some of the plots extend to numbers greater then 1). Is

Hi there, sorry for troubling everybody once again, I've got a problem rewriting Sarkar's function for rewriting the tick locations in a logaritmic way (s. http://lmdvr.r-forge.r-project.org/code/Chapter08.R): His example works for log 2 but I need log e (natural logarithm). My problem is that if I replace 2 with "e" (using paste()), I get the error message that the location

Hello! Thank you for answering! What I am trying to do is to plot my raw values (biomass of different species) on a logaritmic y-axis with the base of e. When I type "log="y"", the axis transforms into a logaritmic axis with the base of 10. Best regards, Elisabeth > Dear Elisabeth, > > I'm not sure if I have understood your question -- are you trying > to

Hello! I have a problem which I have tried to solve for several days now.. I have plottet a lineplot.CI in the library "sciplot", and I am trying to plot it with a logaritmic y-axis (with exponential base). The problem is that; when I type "log "y"", the axis transforms into the logaritmic of base 10. I wonder if someeone could tell me how to specify that I would

Hello Ted! Thank you a lot for your reply!!! I will try to explain again; what I want is a logarithmic scaled y-axis with the base of e (not 10). And the values I would like to use in the plot are the raw values (not transformed in any way). Do you still think that the base of log does not matter in this case (wheather it is e or 10 as a base)? Elisabeth > On 09-May-10 18:10:27, Elisabeth

Hi, from what you're writing: "The logaritmic transformation "shapiro.test(log10(y))" says: W=0.9773, p-value= 2.512e-05." it seems the log-values are not distributed normally and so original data are not distributed like a log-normal: the p-value is extremally small! Other tests for normality are available in package: nortest compare the log-transformation of your ecdf

Hi, Does any one know how we can decide on the correct transformation in (avas and ace) after having drawn the graphs y,g(y) x ,s(x) and g(y) ,s(x) . Is it possible by only looking at patterns the graphs follow for example when y ,g(y) shows a logaritmic pattern can we say that log transform on y is suitable? Thanks for your help. Regards [[alternative HTML version deleted]]

Is it the tick labels that you want to change? -----Original Message----- From: "Elisabeth Bjerke Rastad" <ebr024 at post.uit.no> To: "r-help at r-project.org" <r-help at r-project.org> Sent: 5/10/10 11:20 AM Subject: [R] [Fwd: Re: Plotting log-axis with the exponential base to a plot with the default logarithm base 10] Hello! Thank you for answering! What I am

I want to write a function mimic the function of select.list(), here is my preliminary version. select <- function(x,multiple=TRUE,...){ ans<-new.env() g <- gwindow(title=title,wid=200,heigh=500) x1<-ggroup(FALSE,con=g) x2<-gtable(x,multiple=multiple,con=x1,expand=TRUE) gbutton("OK",con=x1,handler=function(h,...){ value <- svalue(x2) if (length(value)==0)

Dear all, I am trying (!!!) to generate pdfs that have 8 plots on one page: df = data.frame( day = c(1,2,3,4), var1 = c(1,2,3,4), var2 = c(100,200,300,4000), var3 = c(10,20,300,40000), var4 = c(100000,20000,30000,4000), var5 = c(10,20,30,40), var6 = c(0.001,0.002,0.003,0.004), var7 = c(123,223,123,412), var8 = c(213,123,234,435), all = as.factor(c(1,1,1,1)))

Hello R Users! I'm using lattice to produce some graphs with logaritmic y-scales. I use the command xyplot(hits ~ c(1:1024), data=eichData, type="S", scales=list(y = list(log=10))) to create the plot. This is fine, except for the automatically choosen tick marks. I'd like to have a major tick at the 10^n location and minor ticks in between which correspond with the native

Hey R Users I like to control the ticks and labels in a boxplot as described for a xyplot below (thread in maillinglist in may 2003). Does anybody knows how it works? Thanks in advance Thomas Thread from May 2003 (http://tolstoy.newcastle.edu.au/R/help/03a/5604.html) Hello R Users! I'm using lattice to produce some graphs with logaritmic y-scales. I use the command xyplot(hits ~

I installed package plotrix because reading its vignette it looks like it can help me solve a "legend" problem. The package instaleed correctly on my Mac OS/X 10.5.8 But I cannot reproduce the examples centered on function "lgendg". > library(plotrix) > plot(0.5,0.5,xlim=c(0,1),ylim=c(0,1),type="n", + main="Test of grouped legend function") >

Good day, I'm trying to get more time series in one plot. As there are bigger differences in values of variables I need logaritmic y axis. The code I use is the following: nvz_3_data <- read.csv('/home/tomas/R_outputs/nvz_3.csv') date <- (nvz_3_data$date) NO3 <- (nvz_3_data$NO3) NH4 <- (nvz_3_data$NH4) date_p <- as.POSIXct(date, "CET") par(mfrow=c(2,1), ylog

On Sun, Feb 4, 2018 at 9:59 PM, Victor Leschuk <vleschuk at accesssoftek.com> wrote: > Hello David! > > I have recently started acquaintance with PGO in LLVM/clang and found > your e-mail thread: > http://lists.llvm.org/pipermail/llvm-dev/2016-May/099395.html . Here you > posted a nice list of optimizations that use profiling and of those > which could be using but

Hello, I'm quite new to R, but I've already stepped into this problem: I open a PDF device with: pdf("Name-%d.pdf", width=10, height=10, onefile=FALSE) And draw 4 histograms in a row, expecting the pdf device to automatically number them from 1 to 4. What I get back is only 2 images with names "Name-1.pdf" and "Name-2.pdf" that contain the two last

Hello David, thanks for detailed response! Do you have any tests that you use to measure the PGO effectiveness? I have tested clang version 6.0 with the same sample that Jie Chen used in 2016 and actually both frontend-based PGO and IR-based make code run slower, see the average time: clang++ -O3: 3.15 sec  clang++ -O3 and -fprofile-instr-use: 3.160 sec clang++ -O3 and -fprofile-use: 3.180 sec

David, could you please clarify on which code did you gain 10% improvement? I have run numerous tests with and w/o this option and it looks like it has no effect on performance (I am talking of the old 2016 sample to be concrete). Maybe we could investigate it together? Just tell me where to start? On 02/07/2018 02:11 AM, Xinliang David Li wrote: > Victor, thanks for the experiment. > >

Victor, thanks for the experiment. My suspicion is it is due to the remaining issues with block layout -- especially with loop rotation (with PGO). Another problem is that tail dup is not happening after loop rotation which can limit the effectiveness of loop rotation. I tried the internal option -mllvm -force-precise-rotation-cost and there is about 10% speedup with -fprofile-use. This option

Hello: Yes I know that sort of questions comes up quite often. But with all due respect I din't find how to perform what I want. I am searching archives and bowsing manuals but it isn't there, though, it is a ridiculous simple task for the experienced R user. I have data and can do the following with them: == hist(y, prob=TRUE) lines(density(y,bw=0.03) == The result actually is a