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...ch for every row name). Attached below and shown as a matrix. cl.count indicates 3 groups (RA, OA and JT) Sadly, the colors are not in this way i like. If I look at the new[,"test"] column only the rows 1,3,7,and 12 have the value "blue" and all other rows have the value "green". But when I look at my created plot there are 12 lines with a blue color. Can anybody explain me, why it is not possible to get the blue color only in the rows where "blue" is indicated? Glad to hear from you. All the best Peter #### DATA##### Var1 Var2 Freq 208869_s_at JT 10...

...With cbind I add an additional column called "col". I need this column "col" because in a later step and want to specify here some plot details which I will get from another analysis If I want to plot with this code, I have the problem that the legend is wrong. Blue changed to green and green to blue. Furthermore the colors in the plot seem a little bit strange. Can anybody help me out? All the best and thanks Peter #####THE CODE p0 <- ggplot(DATA, aes(Freq, Var1)) p1 <- p0+ geom_point(aes(Freq, reorder(Var1, rep(score,cl.count)), colour=col)) p2 <- p1 +geom_...

Two questions that was not always clear for me [sorry for posting to this list :\]: ############################################################################################## Q1) when cabling, is the color order important? like: straight cabling: A side: white-orange, orange, white-green, blue, white-blue, green, white-brown, brown B side: white-orange, orange, white-green, blue, white-blue, green, white-brown, brown could be eg.: like this?? A side: white-orange, brown, white-blue, green, white-green, blue, white-brown, orange B side: white-orange, brown, white-blue, green, white...

...lot - using dotchart function. There are two localites (loc) with values 75 or 56 in my data ZZ. The f column has 4 levels: P1, S1, S8, R6. The dataframe is ordered by N value, pchloc value is assign to use "pch" in plot. > head(ZZ) loc f N color ordered pchloc 98 75 S1 6.39 green 1 16 99 75 S8 6.44 blue 2 16 71 75 S8 6.60 blue 3 16 100 75 R6 6.64 black 4 16 70 75 S1 6.81 green 5 16 51 75 S8 6.83 blue 6 16 > dput(ZZ) structure(list(loc = c(75L, 75L, 75L, 75L, 75L, 75L, 75L, 75L, 56L, 56L, 75L, 75L,...

...columns have names derived from the original filenames. Example code is below. My question is, where are these names stored in the list? Are there methods that can access this from the list? Is there a way to preserve them verbatim? Thanks -Ed > example.names [1] "con1-1-masked-bottom-green.tsv" "con1-1-masked-bottom-red.tsv" [3] "con1-1-masked-top-green.tsv" "con1-1-masked-top-red.tsv" > example.list <- strsplit(example.names, "-") > example.list [[1]] [1] "con1" "1" "masked" "...

...ted below make check-all passed I couldn't figure out how to run the test-suite. Are there up-to-date instructions somewhere? llvm-gcc doesn't exist anymore... -Dave I get the following warnings building llvm+clang (default configure, default make target): /home/greened/src/llvm-30-rc3/llvm/lib/Support/Mutex.cpp: In constructor ‘llvm::sys::MutexImpl::MutexImpl(bool)’: /home/greened/src/llvm-30-rc3/llvm/lib/Support/Mutex.cpp:69:9: warning: variable ‘errorcode’ set but not used [-Wunused-but-set-variable] /home/greened/src/llvm-30-rc3/llvm/lib/CodeGen/SelectionDA...

...labels for the years line up after every two bars in the plot (there is one bar for hardwood, and another for softwood). Below is my script: density<-read.table("F:\\Megan\\Vtest.csv", header=TRUE, sep=",") attach (density) barplot(DENSITY,YEAR, col=c("blue", "green", "green", "blue", "blue", "green", "blue", "green", "green", "blue", "green", "blue", "blue", "green" , "green", "blue", "blue", "green&qu...

...#39;m still not quite happy with the NA and factor handling of lm and predict.lm in R1.6.1 (forcing me to use my not very skillfully crafted patches). Here is the problem 1: > print(data<-data.frame(y=c(0.9,2.05,3.02,NA,5.2),x1=c(1:4,NA),x2=factor(c("blue","blue","green","green","green"),levels=c("blue","green")))) y x1 x2 1 0.90 1 blue 2 2.05 2 blue 3 3.02 3 green 4 NA 4 green 5 5.20 NA green > fit<-lm(y~x1+x2,data=data,na.action=na.exclude) > predict(fit,data) 1 2 3 4 0....

Eric Christopher <echristo at apple.com> writes: > On Nov 8, 2011, at 7:20 PM, David A. Greene wrote: > > I couldn't figure out how to run the test-suite. Are there up-to-date > instructions somewhere? llvm-gcc doesn't exist anymore... > > Easiest is to check out the test-suite branch into projects and then after you configure and build from the top level, g...

...e got > X <- data.frame ( + x = factor ( sample ( c ( "A" , "B" , "C" , "D" ) , 20 , r = T ) ) + , z1 = factor ( sample ( c ( "Before" , "After" ) , 20 , r = T ) ) + , z2 = factor ( sample ( c ( "Red" , "Green" , "Blue" ) , 20 , r = T ) ) + , z3 = factor ( sample ( 0:6 , 20 , r = T ) ) + ) > X x z1 z2 z3 1 D After Blue 0 2 D Before Green 3 3 A Before Red 5 4 C After Green 6 5 C Before Green 6 6 C Before Green 0 7 C Before Red 1 8...

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Hi, I'm having a problem with spss.read reversing my factor input. Here is the input copied from the spss data editor: color cost 1 2.30 2 2.40 3 3.00 1 2.10 1 1.00 1 2.00 2 4.00 2 3.20 2 2.33 3 2.44 3 2.55 For color, red=1, blue=2, and green = 3. It's type is 'String' and >out=read.spss(file) >out $COLOR [1] green blue red green green green blue blue blue red red Levels: red blue green $COST [1] 2.30 2.40 3.00 2.10 1.00 2.00 4.00 3.20 2.33 2.44 2.55 attr(,"label.table") attr(,"label.table")$CO...

...eb045 100644 --- a/drivers/gpu/drm/drm_fb_helper.c +++ b/drivers/gpu/drm/drm_fb_helper.c @@ -1150,50 +1150,6 @@ void drm_fb_helper_set_suspend_unlocked(struct drm_fb_helper *fb_helper, } EXPORT_SYMBOL(drm_fb_helper_set_suspend_unlocked); -static int setcolreg(struct drm_crtc *crtc, u16 red, u16 green, - u16 blue, u16 regno, struct fb_info *info) -{ - struct drm_fb_helper *fb_helper = info->par; - struct drm_framebuffer *fb = fb_helper->fb; - - if (info->fix.visual == FB_VISUAL_TRUECOLOR) { - u32 *palette; - u32 value; - /* place color in psuedopalette */ - if (regno > 16)...

Dear R-Devel subscriber, I encountered the following problem for tex-formatted table with xtable(). Suppose I do want the following matrix as a table in LaTeX: library(xtable) a11 <- "\\color{green}\\textbf{big green}" a21 <- "\\color{red}\\textbf{big red}" a12 <- "\\color{green}green" a22 <- "\\color{red}red" A <- matrix(c(a11, a21, a12, a22), nrow = 2, ncol = 2) colnames(A) <- c("big", "normal") rownames(A) <- c("...

Hi all, I am looking for a clever way to create the following graph using R: I got information on the shares of some subgroups over time (summing up to 1 in each year). The graph I want to create should display the development of the individual shares over time by shading rectangulars for each share in a different color. Is there a clever of doing this? Thanks for your help Stefan

Hi all, I'm trying to combine exhaustively several character arrays in R like: x=c("one","two","three") y=c("yellow","blue","green") z=c("apple","cheese") in order to get concatenation of x[1] y[1] z[1] ("one yellow apple") x[1] y[1] z[2] ("one yellow cheese") x[1] y[2] z[1]("one blue apple") ... x[length(x)] y[length(y)] z[length(z)] ("three green cheese")...

...e36a0..9708741 100644 --- a/src/nv_crtc.c +++ b/src/nv_crtc.c @@ -888,8 +888,6 @@ static void nv_crtc_unlock(xf86CrtcPtr crtc) { } -#define DEPTH_SHIFT(val, w) ((val << (8 - w)) | (val >> ((w << 1) - 8))) - static void nv_crtc_gamma_set(xf86CrtcPtr crtc, CARD16 *red, CARD16 *green, CARD16 *blue, int size) @@ -901,34 +899,10 @@ nv_crtc_gamma_set(xf86CrtcPtr crtc, CARD16 *red, CARD16 *green, CARD16 *blue, rgbs = (struct rgb *)nv_crtc->state->DAC; - switch (crtc->scrn->depth) { - case 15: - /* R5G5B5 */ - /* spread 5 bits per colour (32 colours) over 2...

...din a list, and anytime it finds the text string "pattern" replace it with "x". I also wish to preserve the "structure" of the original list. What is a good way to accomplish this? I tried : a = matrix(data=c(23,45,'red',78),nrow=2) b = c('red','green',1,2,3) d = data.frame( test1=c(223,445,'red',78,56) , test2= c('red',NA,NA,NA,NA) ) e= list(a,b,d) list1 = list(a,b,d,e) list2 = lapply(list1,function(list)(gsub("red","green",list))) str(list1) str(list2) but the structue fo the list changed. --...

...#39;m not sure if this makes a difference but I ran this make -j 2 -k LLVMCC_OPTION=clang ENABLE_BUILT_CLANG=1 ENABLE_PARALLEL_REPORT=1 TEST=simple report > ../../report.txt 2>&1 inside rc3/Phase3/Release/llvmCore-3.0-rc2.obj/projects/llvm-test On Wed, Nov 9, 2011 at 4:23 PM, David A. Greene <greened at obbligato.org>wrote: > Eric Christopher <echristo at apple.com> writes: > > > On Nov 8, 2011, at 7:20 PM, David A. Greene wrote: > > > > I couldn't figure out how to run the test-suite. Are there > up-to-date > > instructions s...

On Apr 3, 2013, at 2:07 AM, Renato Golin <renato.golin at linaro.org> wrote: > On 1 April 2013 22:05, Bill Wendling <wendling at apple.com> wrote: > We would like to support ARM again. > > Hi Bill, > > Glad you asked! ;) > > I'm getting the test-suite bot green (a few minor tweaks and we're good) and that should get us well ahead of what we've ever been on ARM. Though, bootstrapping seem to fails a few check-all tests. I'll look into that as soon as the test-suite bot is fully green. > > Just to make sure we're talking about the sam...