similar to: xyplot for longitudinal data

Hello, I have a longitudinal data with about 30 subjects. I used xyplot() to plot the longitudinal data. One problem is that xyplot() recycles the color of auto.key so that every 7th subject has the same color (symbol if setps() was used). Is there a way so that every subject will have a unique color or symbol? Thanks Osman -- Osman O. Al-Radi, MD, MSc, FRCSC Fellow, Cardiovascular Surgery

Dear R-help, I would like to add text to each of four panels in a plot generated by xyplot in lattice library. A sample code is given below, the plot generated has the first label repeated in all panels! How can I get the labels to be different in each panel? library(lattice) x <- rnorm(400) y <- rnorm(400) a <- gl(4, 100) xyplot(y~x|a, panel=function(...){

Hi, for the data below: time<-c(rep(1:10,5)) y<-time+rnorm(50,5,2) subject<-c(rep('a',10),rep('b',10),rep('c',10),rep('d',10),rep('e',10)) group<-c(rep('A',30),rep('B',20)) df<-data.frame(subject,group,time,y) I'd like to produce a plot with a single pannel with two loess curves one for each group. the code below does

Dear R-help, Would it be appropriate to do the following to calculate a p-value for the difference between c-ind of x1 and c-inx of x2 using the output from rcorrp.senc() > r<-rcorrp.senc(x1,x1,y) > pValue<-1-pnorm((r[11]-r[12])/(r[2]/r[5])*1.96) Osman O. Al-Radi, MD, MSc, FRCSC Chief Resident, Cardiac Surgery University of Toronto, Canada

Dear R-help How can one get survplot() to place the number at risk just below the survival curve as opposed to the default which is just above the x-axis? I tried the code bellow but the result is not satisfactory as some numbers are repeated several times at different y coordinates and the position of the n.risk numbers corresponds to the x-axis tick marks not the survival curve time of

dear list: I used the nlme library according to the great Pinheiro/Bates book, on R2.3, WinXp Lac.lme is an lme object with unbalanced data, group is a factor variable with three levels, when I tried to plot the residuals by group I got this error msg: >plot(Lac.lme,resid(.,type='p')~fitted(.)|group) Error in limits.and.aspect(prepanel.default.xyplot, prepanel = prepanel, :

Hello, I would like to create a plot composed of stacked boxes (squares or rectangles), where the size of the box would represent the frequency of observations based on a categorical variable (group), the color would represent the proportion of success (binary) within that group (outcome) on a predetermined color scale. Ideally the boxes can be stacked from the bottom left to the top right based

Hi Ruser I'm trying to replicate some SAS code. I have to add a spline to my longitudinal spaghetti plot. I have the plot, but I can't add the spline, a overall trend line. In the SAS code they use the command 'I=SM50S' and I would prefer something similar. I?m using R 2.10.1 on windows XP? I have made this working example. tolerance.pp <-

I need them so I can build stuff using clang or clang-cl with its C++ standard libraries. To make sure that lld-link won't give errors about missing symbols from any standard libraries. By the way, you wouldn't happen to know how to use link.exe, would you? I might need some help on that to understand how to use lld-link.exe. ________________________________ From: Zachary Turner

@Jonathan Goodwin: Do I have to use a flag to tell it where the LLVM include files are? And would it be easier to do that in the CMake GUI? Please tell me how you had it find the include files if that may help me. ________________________________ From: Jonathan Goodwin <jondgoodwin at gmail.com> Sent: Wednesday, November 28, 2018 6:24 AM To: zturner at google.com Cc: Osman Zakir; llvm-dev

I couldn't get it to build libcxx... You need c++ and c++abi to compile c++ code. On Wed, Dec 12, 2018, 07:01 Osman Zakir via llvm-dev < llvm-dev at lists.llvm.org> wrote: > LLVM on a Developer Command Prompt. The ones I want to fix first are the > ones from Boost and Jinja2Cpp. I saw some from those as well. > > If there any standard library ones missing, could it be

Are you linking with a C++ compiler? A lot of those missing symbols look like they come from the C++ standard library. -David Osman Zakir via llvm-dev <llvm-dev at lists.llvm.org> writes: > @blubee blubeeme So what do you think? Got any ideas? > ---------------------------------------------------------------------- > From: Osman Zakir <osmanzakir90

So how do I get it to build libcxx and libcxxabi? I got it from the mono repo and enabled lld, clang, libcxx and libcxxabi. But I built the two main CMake targets only--all_build and install. What else do I have to do? Please let me know. ________________________________ From: Zachary Turner <zturner at google.com> Sent: Wednesday, December 12, 2018 11:10 AM To: blubee blubeeme Cc: Osman

In my code here https://github.com/DragonOsman/currency_converter , I used C++17 and managed to get it to work (though I'm only using std::map::insert_or_assign() from C++17). And I'm using Windows, so I shouldn't use LDFLAGS or CXXFLAGS as environment variables. I'll use them directly on the compiler command line instead. The libraries I need to link against are

How can I tell CMake during the configuration step where to find my zlib installation? ________________________________ From: blubee blubeeme <gurenchan at gmail.com> Sent: Wednesday, December 12, 2018 7:31 PM To: Osman Zakir Cc: llvm-dev Subject: Re: [llvm-dev] Using LLD to link against third-party libraries? How? I would agree with the next email from Brian Cain If you do not have

Dear List,   I have some longitudinal data, each patient was followed at times 0, 12, 16, 24 weeks and measure severity of a illness (0-worse, 1-same, 2-better). So, longitudinal response is categorical.  I was wondering whether lmer in R can fit a model for this type of data. If so, how we code? Or any other function in R that can fit this type of longitudinal data? Any suggestion would be

Hi all, I a semi-beginner with R and I am working with the plm package to examine a longitudinal dataset. Each individual in this dataset has a longitudinal weight for the probability that he or she remains in the sample. Unfortunately, I have not found an argument to use weights in the plm function? I tried ?weights=? like in standard lm or in nlme or lm4 but it does not work. I asked the

I think most people are using ninja to do the build. You can still use the Visual Studio generator for the IDE experience while doing build from ninja. I know there are a couple of people who build from inside of Visual Studio, but it's a pretty small number, and I don't think they are targeting WebAssembly. On Tue, Nov 27, 2018 at 12:46 PM Osman Zakir via llvm-dev < llvm-dev at

Hello R user, I have a data set from a longitudinal study ( sample below) where subjects are followed over time. Second column (status) contains info about if subject is dead or still in the study and third column is time measured in the week. Here is what I need: if status is not dead or unknown take the last week, if status is dead or unknown I need to have corresponding week. Desired resulst:

Hi all: I have a question about the sample size calculation. It's a pilot study,which includes 2 groups(low,high),3 time point(3,6,9 monthes).Each person has 3 results which according to the 3 time points.So it's a longitudinal study. I want to calculate the minimum sample size from the pilot study, but can't find the solution since the data is highly skewed and it's a