similar to: grouped lattice plot with overall regression line

Hello, Noticed a couple of problems with the rsync testsuite. I have included a possible patch for each problem (attached & inlined.) The first problem is that on OpenBSD when make test is run and tests are skipped you see messages like this: cat: "/tmp/rsync-2/rsync/testtmp.chown/whyskipped": No such file or directory SKIP chown () After my patch, you get the appropriate

This patch adds SMP support to the previous version. Since that has not been merged I have included it in this patch. This should apply cleanly to the tip. Below is the text of the original submittal, slightly updated. Attached is a preliminary patch that adds Intel(R) LaGrande Technology (LT) (Safer Mode Extensions - SMX) support to Xen. While there are still several enhancements needed for

Dear community, I am looking for a possibility to draw 'regression lines' instead of 'smooth' lines in grouped xyplots. The following code should give you a small example of the data structure. library(lattice) data(Gcsemv, package = "mlmRev") # Creates artificial grouping variable ... Gcsemv$Groups <- ifelse(as.numeric(as.character(Gcsemv$school))>65000,

I put the idea below into a function that gives nicer looking results. Here's the new code: dupnames <- function(path = ".") { Rfiles <- pkgload:::find_code(path) allnames <- data.frame(names=character(), filename=character(), line = numeric()) result <- NULL for (f in Rfiles) { exprs <- parse(f, keep.source = TRUE) locs <-

Dear R listers, I am trying to create a lattice plot with independent regression lines per group for each panel, plus one overall regression line per panel. I succeed in having the separate regression lines for each group per panel, but I can't figure out how to add the overall regression line over all groups. I have learnt a lot from the list, but I can't find an example for what I want

Good afternoon everybody, I'm quite new in functions optimization on R and, whereas I've read lot's of function descriptions, I'm not sure of the correct settings for function like "optimx" and "nlminb". I'd like to minimize my parameters and the loglikelihood result of the function. My parameters are a mean distance of dispersion and a proportion of

Hi Devang, > You can do inlining even when flag_unit_at_a_time is off. And one can > enable unit-at-a-time without enabling any optimizations. The unit-at- > a-time is not meant to select optimization passes, though it may > influence selection. this flag is used quite a bit in llvm-backend.cpp, for example: if (flag_unit_at_a_time) {

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") >

Hi all - I'm trying to generate lattice barchart graphs with missing values, and came across the following: This does not run. I would expect it to: library(lattice) D = data.frame(X=1, Y=factor(letters[2], letters[1:2])) barchart(~ X, D, groups=Y) Error in grid.Call.graphics("L_rect", x$x, x$y, x$width, x$height, resolveHJust(x$just, : invalid line type which is simply

Hello, I'm doing some graphics for a paper and a need customize such with filled region above the density curve. My attempts I get something very near what I need, but I don't solve the problem of use semitransparent filled. Below a minimal reproducible code. Someone has any idea? require(lattice) # toy data... dt <- expand.grid(A=1:2, B=1:3, y=1:50) dt$y <- rnorm(nrow(dt), dt$B,

Hi! I have used the following command: densityplot(~PV1CIV, groups=SGENDER, data=ISGFINC2, lwd=2, col=1, lty=c(1,2), pch=c("+","o"), key=list(text=list(lab=levels(ISGFINC2$SGENDER), col=1), space="bottom", columns=2, border=T, lines=T, lwd=2, lty=c(1,2), col=1), ref=T, plot.points=F) to produce a lattice density plot presenting the distribution of

Hi Devang, > > this flag is used quite a bit in llvm-backend.cpp, for example: > > > > if (flag_unit_at_a_time) { > > PM->add(createGlobalOptimizerPass()); // Optimize out > > global vars > > PM->add(createGlobalDCEPass()); // Remove unused > > fns and globs > >

Hi Maria Rule 1 make sure your data is in the right format dat <- source("G:/1/savedat.txt") > dat $value Location Date Zn2 upper.zn lower.zn 1 upstream 2016-04-27 29.92477 55.59800 13.912207 2 spill 2016-04-27 12.84040 22.07006 6.964934 3 downstream 2016-04-27 22.49673 41.60901 11.739109 4 upstream 2016-06-28 23.98425 45.60219 10.690640 5

Dear Maria The file you attached to your first e-mail did come through but I think some people on the list must have missed it. Michael On 12/09/2017 12:54, Maria Lathouri via R-help wrote: > Dear all, > Thank you very much for the help. ylim=c(-5, 80) worked. > Regarding the reproducible example, I used dput () and saved the file as txt. It is not the first time that I used this way

Dear all, Thank you very much for the help. ylim=c(-5, 80) worked.? Regarding the reproducible example, I used dput () and saved the file as txt. It is not the first time that I used this way and normally it works. Because when I try to attach a .csv file with the data, most of the time it doesn't go through.? I will know for the next time.? Many thanks. Regards,Maria ???? 2:11 ?.?.

Dear all I am trying to make a plot in xyplot lattice by groups. I would like to show "0" in y axis but I don't want to be aligned with the x axis. I want to be a little bit above. I have tried many options but I don't get what I want. I also tried ylim=c(0, 80) but both 0 and 80 are fully aligned with the x-axis and the upper boundary of the plot, respectively: xyplot(upper.zn +

On Apr 16, 2008, at 1:02 PM, Duncan Sands wrote: > Hi Devang, > >> You can do inlining even when flag_unit_at_a_time is off. And one can >> enable unit-at-a-time without enabling any optimizations. The unit- >> at- >> a-time is not meant to select optimization passes, though it may >> influence selection. > > this flag is used quite a bit in

Hi, I've got the following problem which I cannot think of a solution right now: if got a lattice xyplot in black and white and a grouping variable with many (more than 8 values) and I plot it as regression lines (type="r"), just like this one (not reproducable but that's I guess not the point here): xyplot(log(AGWB) ~ log(BM_roots), data=sub_agwb_data, groups=species,

On 06/06, Mike Christie wrote: > > On 6/6/23 7:16 AM, Oleg Nesterov wrote: > > On 06/05, Mike Christie wrote: > > > >> So it works like if we were using a kthread still: > >> > >> 1. Userapce thread0 opens /dev/vhost-$something. > >> 2. thread0 does VHOST_SET_OWNER ioctl. This calls vhost_task_create() to > >> create the task_struct

WayneD's clone-dest patch seems to be working for me, it's available here: https://github.com/WayneD/rsync-patches/blob/master/clone-dest.diff I've written some very basic tests, which I've attached to this email, in case they are of use to anyone else. They're also available here: https://github.com/josephmaher/rsync Notes: Tests need to be run as root.