similar to: Soft-phone on Black Berry

Hi! Consider d <- data.frame(x=1:10,y=5+1:10, yf=rnorm(10,5+1:10)) x y yf 1 1 6 5.268621 2 2 7 8.623896 3 3 8 8.114830 4 4 9 10.125955 5 5 10 9.977261 ... I plot y and yf against x with xyplot(y+yf~x,data=d,col=c('red','green'),pch=c("a","b")) BUT - I would like that the plot of y against x is with type='l' and the

I would like to use lattice graphics to plot multiple functions (or groups or subpopulations) on the same plot region, using different line types "lty" or colors "col" to distinguish the functions (or groups). In traditional graphics, this seems straightforward: First plot all the data using 'type="n"', and subsequently execute a series of "points"

I'm having trouble creating a looping variable and i can't see wher ethe problem arises from any hep gratfully appreciated First create a table x<-table(SURVEY$n_0,exposed) > x exposed False True Under 16 24 1 16-19 68 9 20-24 190 37 25-34 555 204 35-44 330 87 45-54 198 65 55-64 67 35 65+

Before re-inventing the wheel I would like to ask: does anyone know about an optimizer in R which can reliably identify which value of X (Xopt) leads to Y (Yopt) closest to Ytarget in Y <- MonotoneStepFun(X) optionally with the restriction that Yopt <= Ytarget (at least if any Y <= Ytarget, otherwise any Yopt > Ytarget would be the preferred answer) If none is known, I will write

Dear R-List, I?m new in R, so I hope my question is not to primitive, but I haven?t found a solution in the R-help. I?ve got a datatframe with 3 factors, called xf (9 levels), yf (9 levels), zf (3 levels) and one variable (rt): > xf yf zf rt > 1 1 1 67 > 1 1 1 56 > 1 1 1 60 [...] > 1 1 2 58 > 1 1 2 61 [...] > 9 1

Hi all, I am running R version 2.4.0 (2006-10-03) on an i686 pc with Mandrake 10.2 Linux. I was given a binary data file containing single precision numbers that I would like to read into R. In a previous posting, someone suggested reading in such data as double(), which is what I've tried: > zz <- file(file, "rb") > h1 <- readBin(con = zz, what = double(), n = 1, size

I believe there is a memory leak in isoreg in the current version of R, as I believe the following shows > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 120405 3.3 350000 9.4 350000 9.4 Vcells 78639 0.6 786432 6.0 392463 3.0 > for(k in 1:100) { + + y <- runif(10000) + isoreg(x,y) + } > rm(x) > rm(y) > gc() used (Mb) gc

Hi, I have a data frame that I want to split into two based on the values of a variable in it. The variable Y has numeric values ranging between 0 through 70. I want to plot the frequencies of another variable X in two different cases: - When Y = 0 and - When Y > 0 How does one go about doing this? In general, I want to do several analyses with this data frame that are a variation of the

Thank you for your hint. I really mean I am planning to store millions of files on the file system. Then may I ask that what is the maximum number of files which could be stored in one directory without affecting the performance of web server? At 2018-11-03 16:03:56, "Walter H." <Walter.H at mathemainzel.info> wrote: >On 03.11.2018 08:44, yf chu wrote: >> I have

Full_Name: Petr Klasterecky Version: 1.8.1 OS: Windows XP, Linux Submission from: (NULL) (195.113.27.212) The isoreg() function causes R to crash when called repeatedly. Consider the following simple script: { library(modreg) N <- 10 x <- rnorm(N) print("Original x values:") print(x) for(n in (1:N)){print(y <- isoreg(x[1:n])$yf)} } I am able to run (call) it several

i am trying to convert sas file into csv. I used write.csv(a, file="cool.csv") but nothing come out. i don't know why. Thanks. library(Hmisc) a<- sasxport.get("C:\\Users\.....") write.csv(a, file="cool.csv") -- View this message in context: http://r.789695.n4.nabble.com/convert-the-sas-file-into-csv-in-R-tp3311769p3311769.html Sent from the R help mailing

https://bugzilla.mindrot.org/show_bug.cgi?id=2699 Bug ID: 2699 Summary: PKCS#8 private keys with AES-128-CBC stopped working Product: Portable OpenSSH Version: 7.5p1 Hardware: amd64 OS: Linux Status: NEW Severity: normal Priority: P5 Component: ssh-keygen Assignee:

How can I pass an array to a define? It''s not documented in the puppet language guide. I''ve got: define lvm::create_vg ( $pvdisks ) { exec { ''pvcreate'': command => "/sbin/pvcreate -yf $pvdisks", unless => "/sbin/pvdisplay $pvdisks", ... } } class someclass { lvm::create_vg {

I have a website with millions of pages. We often deploy our websites on centos with Nginx and Apache Http Server as HTTP Web Server. I am very worried about the performance of web server if the amount of pages is very very large. I wonder whether the performance will be affected if there are too many files and directories on the server. Besides, our bugdet is limited. We do not want to deploy too

Hi, when I apply a glm() model in two ways, first with the response in a two column matrix specification with successes and failures y <- matrix(c( 5, 1, 3, 3, 2, 2, 0, 4), ncol=2, byrow=TRUE) X <- data.frame(x1 = factor(c(1,1,0,0)), x2 = factor(c(0,1,0,1))) glm(y ~ x1 + x2, data = X, family="binomial") second with a model matrix that

I am running 9 negative binomial regressions with count data. The nine models use 9 different dependent variables - items of a clinical screening instrument - and use the same set of 5 predictors. Goal is to find out whether these predictors have differential effects on the items. Due to various reasons, one being that I want to avoid overfitting models, I need to employ identical types of

I am running the following nls equation. I tried it with data that excel was fitting and got the error: singular gradient matrix at initial parameter estimates I thought it was due to a low number of points (6), but when I create a dataset, I get the same problem. If I remove the parameter "a," then it can find a solution. Does anyone know what I can do to fit this model?

I'm trying to specify a model using lmer with a binary response and interaction term, but I get an error I can't parse (see below). Here is some sample data: Subject Concord Age Disc SVC999MX148SU-F yes u int TOU999JU030S1 yes u int TOU999JU030S1 yes u int TOU999JU030S1 yes u int TUT578MX037S2 yes g int COL140MX114S2 yes yf

I have several plain ruby classes that do nothing but implement algorithms. What is the prefferred way to run these w/out making a DB connection every time? Thanks, Dennis Byrne -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060724/5ff610dd/attachment.html

hi, I would like to find the x value (independent variable) for a certain dependent value using the fitted model with nls. with (predict) I can find y that corresponds to a list of x. I need the other way around. can it be done? thanks, afadda