similar to: hello! i need help for a specific graphic issue

Dear list, The below dataset and code creates a new dataset with the results from the function cor.test being performed on each individual ('Individual_ID') from my original dataset. How do I convert each variable from the cor.test results to a numeric data type, as it is passed into the new dataframe? For example, 'estimate', 'p.value', and 'conf.int' should be

hi ladyes and gentlemans of the R comunity. i have the following graphical issue: # say y is a matrix or a dataframe with dim(51,nrow=17),hence 3 columns; l<-51 # now the 3 colums represents 3 different aspects of my continuous variable (3 factors),plotted against a categorical one; n<-levels(factor(x)) # i want to plot those 3 factors adjacently using the barplot(), and possibly show

Hi everyone, I wonder if I can get your help using a custom function in apply. Imagine the following dataframe called "data": LowLim HighLim A1 A2 A3 A4 4 6 3 4 5 6 4 6 4 5 5 6 2 3 1 4 2 3 2 3 NA NA NA NA We have created a custom function (see below) that takes the values in a given row between columns A1 to A4 to see if they are outside the limits in the same

Dear friends, I'm probably wrong but is there anything better than bootstrap to get a confidence interval of the median from a population with unspecified distribution ? Best wishes Troels Ring, Aalborg, Denmark

hi ladies and gentlemen of the R community. i'm federico an italian student of statistics and i've got an issue to submit to you: i've got a huge file.txt replenished of blank values (over a milion of them). by importing it into R the read.table() function higlights missing objects per row and declares an error. there's any way i can detail into the read.table() function to

Dear R users, When I use two functions, 'optim' and 'integrate', simultaneously, I always get an error like this -------------------------------------------------------------------------- numint = function(z) { dlnorm(z,mu[1],sqrt(exp(g[1]))) * dnorm((z-mu[2])/sqrt(exp(g[2])))/sqrt(exp(g[2])) } integrate(numint,lower=0,upper=Inf)$value Error in integrate(numint, lower = 0,

Hi folks, For people who might be interested, here is how btrfs performs with two partitions on a single SSD drive in a RAID-1 mirror. This is on a Dell E4200 with Core 2 Duo U9300 (1.2GHz), 2GB RAM and a Samsung SSD (128GB Thin uSATA SSD). Version 1.03c ------Sequential Output------ --Sequential Input- --Random- -Per Chr- --Block-- -Rewrite- -Per Chr- --Block--

Dear All, I was trying to call a self-defined function that performs nonlinear regression and gets the corresponding prediction upper limit using nls2 package. However, weird thing happened. When I called the function in the main program, an error message "fitted(nlsmodel): object 'nlsmodel' not found" came up. But when I directly ran the codes inside the function, no error came

Hi all I was wondering if someone could help me. I have to estimate some parameters, so I am using the function nlm. Inside this function I have to integrate, hence I am using the function adapt. I don't understand why it is giving the following warnings: At the beginning: Warning: a final empty element has been omitted the part of the args list of 'c' being evaluated was:

Dear R People: I have an interactive menu via an Rcmdr extension package which asks for lower and upper limit to evaluate. Typically, I use: assign("a",as.numeric(tclvalue(lowlim)),envir=.GlobalEnv) and that's fine. However, if I try to use pi or Inf or -Inf, I get either coerced NAs or NaN. Does anyone have any suggestions, please? Thanks, Erin PS Happy Easter if you

Hello everybody!!!! Quick question, if you'd like to throw a little tip: does anyone knows a function that runs piecewise regression models with coefficients estimation and inferences ? Thank you [[alternative HTML version deleted]]

Team: My Debian Sarge "testing" box got upgraded from Samba 2.2.6, I believe, to Samba 3 Beta 2 in the latest dist-upgrade supplied spate of updates (90+, and I missed Sambe being in there . . . ). Not a big deal except that now I have lost access to the logon profiles directories at logon time. It's a basic Samba setup. Uses Unix passwords and Unix accounts, etc. Nothing fancy

Dear Masters, I have a question to submit consider the following script m<-4.95 obs<-rpois(36,m) # i generate 36 realization from a poisson(m) hist(obs,freq=F) curve(dpois(x,m),add=T,col="red") #i wish to overlay on the histogram the theorical poisson density function errors are returned saing the x vector doesn't contain integers.... really bizarre i can't give

Hi folks... check this out.. > GLU<-lme(gluc~rt*cd4+sex+age+rf+nadir+pharmac+factor(hcv)+factor(hbs)+ + haartd+hivdur+factor(arv), + random= ~rt|id, na.action=na.omit) > intervals(GLU)$fixed lower est. upper (Intercept) 67.3467070345 7.362307e+01 7.989944e+01 rt *0.0148050160* 6.249304e-02 1.101811e-01 cd4

Hi Dears, When I introduce an interaciton in a piecewise model I obtain some quite unusual results. If that would't take u such a problem I'd really appreciate an advise from you. I've reproduced an example below... Many thanks x<-rnorm(1000) y<-exp(-x)+rnorm(1000) plot(x,y) abline(v=-1,col=2,lty=2) mod<-lm(y~x+x*(x>-1)) summary(mod) yy<-predict(mod)

Hello Masters, I run the loess() function to obtain local weighted regressions, given lowess() can't handle NAs, but I don't improve significantly my situation......, actually loess() performance leave me much puzzled.... I attach my easy experiment below #------SCRIPT---------------------------------------------- #I explore the functionalities of lowess() & loess() #because I have

Dear Masters, first I'd like to wish u all a great 2011 and happy holydays by now, second (here it come the boring stuff) I have a question to which I hope u would answer: I run a logistic regression by glm(), on the following data type (y1=1,x1=x1); (y2=0,x2=x2);......(yn=0,xn=xn), where the response (y) is abinary outcome on 0,1 amd x is any explanatory variable (continuous or not)

Thanks, Also, every method inherited by LoopBase causes the same error, while Loop methods go smooth. On 9 May 2013 01:05, Andrew Trick <atrick at apple.com> wrote: > > On May 8, 2013, at 7:43 PM, Giacomo Tagliabue <giacomo.tag at gmail.com> > wrote: > > Hello, > I am building a loop pass following these instructions: >

Hello, I am building a loop pass following these instructions: http://llvm.org/docs/WritingAnLLVMPass.html Everything works fine, I did it many times for Function Passes, but in the runOnLoopmethod, whenever I call a method of the loop L passed as argument, for example L->begin(), I get the following error: opt: symbol lookup error: /home/giacomo/llvmcsfv/Debug+Asserts/lib/Acsl.so: >

Wow, commenting those two lines worked out fine for me, thanks! On 9 May 2013 09:34, Giacomo Tagliabue <giacomo.tag at gmail.com> wrote: > Thanks, > Also, every method inherited by LoopBase causes the same error, while Loop > methods go smooth. > > > On 9 May 2013 01:05, Andrew Trick <atrick at apple.com> wrote: > >> >> On May 8, 2013, at 7:43 PM,