similar to: ecdf() to nls() - how to transform data?

Hi list, this is my second try for first post on this list (I tried to post via email and nothing appeared in my email-inbox, so now I try to use the nabble-web-interface) - I hope that you will only have to read one post in your inbox! Okay, my question ... I was able to plot a histogram and add the density()-line to this plot. I was able to plot a cumulative form of this histogram. Yet, I was

Hi, I got two data point vectors. Now I want to make a ks.test(). I you print both vectors you will see, that they fit pretty fine. Here is a picture: http://www.jochen-bauer.net/downloads/kstest-r-help-list-plot.png As you can see there is one histogram and moreover there is the gumbel density function plotted. Now I took to bin-mids and the bin-height for vector1 and computed the

> Reading the bitcode reader while working on another issues I found > that we already have a version in the bitcode itself (not the darwin > wrapper) and it is used! It is stored with the > bitc::MODULE_CODE_VERSION. It is used to select relative ids, which > impacts the entire bitcode, and so it makes sense to be based on a > version. > > If we ever have a new feature

Hi, Try: vec1<- "mue#d/sjbijk at ruepvnvbnceiicrpgxkgcyl@keduhqvqi/ubudvxopddpfddgitrynzshzdcwgneyffrkpbxwilwqngrsals#geqmtkcpkp/qecgdfa#uag" library(seqinr) ?res<-lapply(0:4,function(i) lapply(2:5,function(j) splitseq(s2c(gsub("[#@/]","",vec1)),word=j,frame=i))) #or library(stringr) res1<-lapply(0:4,function(i) lapply(2:5,function(j)

On Mon, Nov 24, 2014 at 7:53 AM, Rafael Espíndola < rafael.espindola at gmail.com> wrote: > > Right, that version number is used to resolve *ambiguities* in how to > > interpret some chunk of bitcode. It is not a generic bitcode version > > scheme, because most bitcode format changes involve things like adding > > new operands or opcodes, which are easily identified

Hi, I am looking for an opportunity to make a KS-Test in my C/C++-app. Unfortunately I am not able to find a lib or function in C or C++ which does the job. For my other numerical stuff Gnu Scientific Library was recommended to me. What to do now? I read that there are options to call R in C++-Code. How does that work and is this a good option if the test will be called very often and the

Hello R Experts, does anyone know how to run R programs automatically using the window scheduler? I want to run some R programs automatically and make the results available via web. Mit freundlichen Grüßen / Best Regards / С наилучшими пожеланиями / üdvözlettel Thorsten [[alternative HTML version deleted]]

Hi R-Users, I read some texts related to KS-tests. Most of those authors stated, that KS-Tests are not suitable for binned data, but some of them refer to 'other' authors who are claiming that KS-Tests are okay for binned data. I searched for sources and can't find examples which approve that it is okay to use KS-Tests for binned data - do you have any links to articles or

Hey all, I''m not sure if this is a ZFS bug or a hardware issue I''m having - any pointers would be great! Following contents include: - high-level info about my system - my first thought to debugging this - stack trace - format output - zpool status output - dmesg output High-Level Info About My System --------------------------------------------- - fresh

On Tue, Nov 4, 2014 at 9:10 PM, Bruce Hoult <bruce at hoult.org> wrote: > On Wed, Nov 5, 2014 at 2:30 PM, Sean Silva <chisophugis at gmail.com> wrote: > >> > Does Apple support library/middleware providers shipping bitcode instead >> >>> > of object code? >>> >>> No. >>> >> >> Are there ever any plans to do so?

On Mon, Nov 24, 2014 at 7:00 PM, Robinson, Paul < Paul_Robinson at playstation.sony.com> wrote: > It should report that the > particular new feature is not support. In this case, something like > "unknown 'g' flag in datalayout". > > Currently that would hit an llvm_unreachable(). How should we > re-engineer this to provide sensible error recovery in

Hi, I have a genotype data for both case and controls and would like to calculate the HW p-value. However, since the number of one genotype is 0, I got wired result. Would someone help me to figure it out? Or confirm it's right? Thanks a lot. ============ > library( "genetics" ) NOTE: THIS PACKAGE IS NOW OBSOLETE. The R-Genetics project has developed an set of enhanced

Dear R-help: I am trying to plot the cumulative distribution function of a vector of around 33 million numeric observations. > plot.ecdf(myDataVector) R has been non-responsive for about an hour, and my guess is that it's probably not going to finish. Does anybody have a sense whether this a reasonable experience (and if so, is there a way to get the desired effect, or am I SOL)?

Hi All, following expression: x <- sort(rnorm(10)); e <- ecdf(x); d <- numericDeriv(e(x),"x"); makes d far from approximation of one dimensional pdf. What's wrong then here? Kind regards. --------------------------------------------------------------------------- Valery A.Khamenya Bioinformatics Department BioVisioN AG, Hannover

Dear R users, I'm using Ecdf (Hmisc library) to plot four cdf in a same graphic. In this graphic I also plot the 0.99 quantile for these cdf. I successfully plot cdfs using different types of line to distinguish them, but I can't determine the type of lines showing 0.99 quantile. Is there a way to assign different line types for quantile lines in Ecdf plot? Best regards, -- Mateus da

Dear R Gurus, Sorry if this has been asked before but I did not find it in the archives. I would like to add a horizontal display of mean and SEM on Hmisc ecdf plots done by group (ie variate~treatment). Has anyone written some code to do that ? Thanks and kind regards, Jean-Louis

Hi r-users,   I would like to compare the cdf between historical and predicted. My x.obs and x.pre are the frequency data in classes of 0-300. I tried: plot(ecdf(x.obs),ecdf(x.pre),type="l",col="red")   and it gives me: Error in plot.stepfun(x, ..., ylab = ylab, verticals = verticals, pch = pch) :   argument 4 matches multiple formal arguments   Thank you so much for any

Hi, all ecdf function (Empirical Cumulative Distribution Function) in "stats" package counts from smaller values to larger values. However, I want to draw it by counting from larger value to smaller values and I couldn't find options for this purpose. How can I draw ecdf or ecdf like graph by counting from larger values to smaller values. Thank you in advance. Hyunchul Kim

I'm replying to R-devel, the mailing list which should be used to discuss R feature enhancements. >>>>> "Norman" == Norman Warthmann <norman at warthmann.com> >>>>> on Wed, 18 Jan 2006 11:33:22 +0100 writes: Norman> .......... Norman> Is there a specific reason why in the ecdf-function Norman> the variable

Hi! I've noticed the ecdf() R code (R ver. 2.5.0) contains two call to sort: --- [R-code] --- ecdf <- function(x) x <- sort(x) n <- length(x) if (n < 1) stop("'x' must have 1 or more non-missing values") vals <- sort(unique(x)) rval <- approxfun(vals, cumsum(tabulate(match(x, vals)))/n, method