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This patch implements the drivers hooks needed for precise vblank timestamping. This is a complementary patch to Mario Kleiner's patches to to improve swap scheduling. With the complete patchset applied nouveau will be able to provide correct and precise pageflip timestamps (compliant to OML_sync_control spec) Kudos to Mario for his many helpful comments and testing. Signed-off-by: Lucas

From: Mario Kleiner <mario.kleiner at tuebingen.mpg.de> Emit kms pageflip completion events with proper vblank count and timestamp for the vblank interval in which the pageflip completed. This makes the timestamps and counts consistent with what the OML_sync_control spec defines. v2 Lucas Stach: rebased on top of nouveau tree and resolved trivial conflict. Signed-off-by: Mario Kleiner

Hi, these are two patches against the nouveau kms driver. The first patch makes sure that pageflip completion events get their vblank count and timestamp from the drm. The second patch from Lucas Stach, here included with his permission, makes sure that the timestamps of vblanks are calculated with high precision and robustness. Both patches together make sure that all timestamps returned by the

Just updated versions of the patches send by Mario Kleiner. This ones are rebased on top of the nouveau tree and updated according to the review feedback. Regards, Lucas

Not as thoroughly tested as I would like. Newer nvd0 and kepler are unsupported, as I don't know the registers yet. Information of the scanout position is based on Lucas Stach's original patch, with a teak to read vline twice, to prevent a race of hline with vline. Cc: Lucas Stach <dev at lynxeye.de> Cc: Mario Kleiner <mario.kleiner at tuebingen.mpg.de> Signed-off-by: Maarten

I am struggling with a contour plot. I want to place a cross over the minimum. alas, I don't seem to be able to map axes appropriately. here is what I mean: N <- 1000 rm <- rnorm(N, mean=0.0, sd=0.4) rx <- rnorm(N, mean=0.0, sd=0.4) rt <- rnorm(N, mean=0.0, sd=0.4) exploss <- function(hdgM,hdgX) { ## this could be any function that is not vectorized losscosts <-

Hi all, I'm trying to figure out a way to create a data graphic that I haven't ever seen an example of before, but hopefully there's an R package out there for it. The idea is to essentially create a heatmap, but to allow each column and/or row to be a different width, rather than having uniform column and row height. This is sort of like a Marimekko chart in appearance, except that

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

nvif_mthd() returns an int, so provide that for return checking Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- drivers/gpu/drm/nouveau/nouveau_display.c | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/drivers/gpu/drm/nouveau/nouveau_display.c b/drivers/gpu/drm/nouveau/nouveau_display.c index 8d1df5678eaa..f8f555e2e912 100644 ---

Dear List, I'm trying to generate a simple heatmap that has each row and column separated by a black line. However, for some reason this only happens for the first and last color. The middle color in my colorpanel() command has an addition horizontal and vertical line that I would like to get rid off. Any suggestions? #my code below my.matrix <- cbind(func.1 =

Is it a way to make plots with vertical lines, like plot(x, y, type="h"), but starting from a different value than y=0. For example, with x=1:3, y=-(1:3), y.orig=-3 : -1 | | y -2 | | | | -3 | | | 1 2 3 x Thanks -- Cyril Humbert -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list --

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

ggplot2 =================================== ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered

Dear all, The following example code produces a graph with ggplot2, to which I add several vertical lines of arbitrary colors. I am not satisfied with the legend: it automatically adds some vertical lines which I'd rather not see (they confuse the reader rather than add information in this case). > library(ggplot2) > dfr <- data.frame(values = sin(1:50/10), > fact =

I have written a wrapper for heatmap.2 called heatmap.w.row.and.col.clust which auto-generates breaks using breaks<-round((c(seq(from=(-20 * stddev), to=(20 * stddev))))/20, digits = 2) #(stddev in this case = 2.5) This has always worked well in the past but now I am getting an error that non-finite breaks are being generated. Drilling down, it seems that my wrapper is generating finite

Hello, I would like to be able to plot an array on a plot, something like: |arg1 | arg2 | arg3 val1| 0.9 | 1.1 | 2.4 val2| 0.33 | 0.23 | -1.4 val3| hello| stop | test I know Rwave is good to report but don't want to use it. ? Is there a package that allow quick and dirty plot of dataframes like this ? Thanks a lot -- View this message in context:

I am attempting to graph 12 months of temperatures, delineate the months with a vline and place the names of the months at the top of the graph. So far I have gotten everything to work except the names, despite getting a similar graph to work yesterday the day before yesterday with Baptise A's help. Can anyone suggest what I am doing wrong. Data set is below code. Thanks. Code

I want to get the plot like this, http://n4.nabble.com/file/n1839303/%25E9%25A2%2591%25E7%258E%2587%25E5%2588%2586%25E5%25B8%2583%25E5%259B%25BE%25E6%25A0%2587%25E5%2587%2586.jpg %E9%A2%91%E7%8E%87%E5%88%86%E5%B8%83%E5%9B%BE%E6%A0%87%E5%87%86.jpg not this, http://n4.nabble.com/file/n1839303/R.jpg R.jpg and the data here, thank you! http://n4.nabble.com/file/n1839303/y1.txt y1.txt can R