similar to: Drawing rectangles in multiple panels

Hopefully an easy question. When drawing a rectangles in a lattice plot key, how do you omit the black borders? Here is an example adapted from one on the xyplot help page: bar.cols <- c("red", "blue") key.list <- list( space="top", rectangles=list(col=bar.cols), text=list(c("foo", "bar")) ) barchart( yield ~ variety | site,

https://bugs.freedesktop.org/show_bug.cgi?id=47306 Bug #: 47306 Summary: segfault in nouveau_fence_update Classification: Unclassified Product: xorg Version: unspecified Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: blocker Priority: medium Component: Driver/nouveau

Greetings.! In rapid action frames, I see lots of small rectangles which many together render a choppy sense of motion. I've attached screenshots in attempts to convey what I mean: http://24.16.26.121/screenshots/images/1253914810.jpg http://24.16.26.121/screenshots/images/1253914788.jpg I understand the lack of h/w acceleration and such, but I feel this can go away. If I am at all

Hi, I want to draw rectangles with "rect" without borders, but with shading (ie setting density). ?rect says lty: line type for borders; defaults to '"solid"'. but if I set it to 0, the border disappears, but the shading also vanishes! But the above says that lty is the line type for BORDERS, and does not mention density at all -- how do I get around this?

Às 14:46 de 27/07/2019, Ilia Mirkin escreveu: > On Sat, Jul 27, 2019 at 7:37 AM Ralph Corderoy <ralph at inputplus.co.uk> wrote: >> The video plays, CPU load is less (my aim), but there's ‘tearing’ of the >> picture as if small rectangles that are updates are appearing in the >> wrong location, off by a little. If I step through the frames with >> mpv's

Hi, I'm having trouble with hardware decoding of video with mpv(1) having switched from Nvidia's proprietary driver to nouveau due to Arch Linux removing its nvidia-340xx package. The machine is an Acer Revo. $ lspci -nn | grep VGA 01:00.0 VGA compatible controller [0300]: NVIDIA Corporation GT218 [ION] [10de:0a64] (rev a2) I think this is codename NVA8 with the

http://bugs.freedesktop.org/show_bug.cgi?id=16765 Summary: white rectangles instead of fonts and bitmaps lost when switching to virtual console and back Product: xorg Version: unspecified Platform: Other OS/Version: All Status: NEW Severity: normal Priority: medium Component:

I recommend instead of no border, that you use a border with the same color as the fill. I do this in the likert functions in the HH package. Rich On Mon, May 21, 2018 at 10:59 AM, Martin Batholdy via R-help <r-help at r-project.org> wrote: > Dear R-users, > > I want to draw a barplot with beside=TRUE. > One halve of the bars are drawn with a border, while the other halve are

Dear R-Experts I am sure this might look simple question for experts, at least is problem for me. I have a large data frame with over 1000 variables and each have different distribution( i.e. have different quantile). I want to create a new grouped data frame, where the new variables where the value falling in first (<25%), second (25% to <50%), third (50% to <75%) and fourth quantiles

Can anyone please tell me if there is a function to calculate confidence intervals for the results of the quantile function. Some of my data is normally distributed but some is also a squewed distribution or a capped normal distribution. Some of the data sets contain about 700 values whereas others are smaller with about 100-150 values, so I would like to see how the confidence intervals change

Hello, I have a question that is not directly related to R ... but I try to do it in R ;-) : I would like to generate a matrix Q satisfying (for a given Z, X and W) the two following conditions: t(Q)%*%Q=Z (1) XQ=W (2) where: Q is m rows and r columns X is p rows and m columns D is p rows and r columns C is r rows and r columns with m>p,r e.g: m=6, p=2 r=3

Hello everybody, after searching around for quite some time, I haven't been able to find a package that provides a function to compute the Windorized mean and variance. Also I haven't found a function that computes the trimmed variance. Is there any such package around? thanks, Roberto

https://bugs.freedesktop.org/show_bug.cgi?id=90092 Bug ID: 90092 Summary: Screen Hangs Displaying Black and White Rectangles After Resuming from Suspend Product: xorg Version: unspecified Hardware: x86-64 (AMD64) OS: Linux (All) Status: NEW Severity: normal Priority: medium

Dear R-users, I want to draw a barplot with beside=TRUE. One halve of the bars are drawn with a border, while the other halve are drawn without a border (i.e. filled bars vs. non-filled bars next to each other). Because borders are drawn around the bars, doing this leads to one halve of the bars being wider than the other halve, expanding across the 0-point of the y-axis. This problem emerges

Hi Ilia, A fortnight ago, you wrote: > > The video plays, CPU load is less (my aim), but there's ‘tearing’ of > > the picture as if small rectangles that are updates are appearing in > > the wrong location, off by a little. If I step through the frames > > with mpv's ‘.’ and ‘,’ then I've found a pattern: one frame's > > picture is good, followed by

Hi R-listers, I am trying to compare sections of the beach separated from the HTL to the Veg (east to west), separated into indices (-5 to 30m), HTLIndex. Cross parallel (north to south) are major beach sections (Rayos 1, 2, 3, 4 and MNB). I am thinking to do an ANOVA for each independent rectangle of beach (not exactly but will be treated as). The HTL from (0-5m) in Rayo 1 is one rectangle of

On Sat, Jul 27, 2019 at 7:37 AM Ralph Corderoy <ralph at inputplus.co.uk> wrote: > The video plays, CPU load is less (my aim), but there's ‘tearing’ of the > picture as if small rectangles that are updates are appearing in the > wrong location, off by a little. If I step through the frames with > mpv's ‘.’ and ‘,’ then I've found a pattern: one frame's picture is

Hi, I've been really struggling with this. If I have a vector like dat <- c(0,0,0,0,1,1,1,0,0,0,1,1,0,0,0,1,0,0,0) I want to plot each element as a colored rectangle (red=1, blue=1) in the right order, so they all stack up forming a vertical column on the graph. Sort of like a building, with each floor in the appropriate color. Any ideas? I've tried using ggplot and geom_tile, but my

https://bugs.freedesktop.org/show_bug.cgi?id=96388 Bug ID: 96388 Summary: This War of Mine (Wine) has rendering issues (screen filled with black rectangles) Product: Mesa Version: git Hardware: All OS: Linux (All) Status: NEW Severity: normal Priority: medium

hi I'm puzzled as to the relation between the REML score computed by gam and the formula (4) on p.4 here: http://opus.bath.ac.uk/22707/1/Wood_JRSSB_2011_73_1_3.pdf I'm ok with this for poisson, or for quasipoisson when phi=1. However, when phi differs from 1, I'm stuck. #simulate some data library(mgcv) set.seed(1) x1<-runif(500) x2<-rnorm(500)