similar to: color.ramp in maptools

Hello, I am using maptools for plooting geographical data. The colour of the region indicates some region dependent value (population for example). I pass the colours of the regions to the plot.Map function by defining the foreground colour: jet.colors = colorRampPalette(c("#00007F", "blue", "#007FFF", "cyan", "#7FFF7F", "yellow",

Hello, I can't seem to add transparency to any color ramp I create using colorRampPalette(). Can someone tell me if it is possible to create transparent colour ramps? I am attempting to map shaded relief under elevation data. I know I can use the terrain.colors() with the alpha option, but I would prefer to create my own colour ramp using more vibrant colours. My most recent attempt at

Greetings! I'm having an issue with the windrose produced by the windrose function from the circular package. For our weather stations in North Carolina I'm helping with a script which takes hourly wind speed and direction data to create windroses for our end users. One of the stations in the mountains frequently reaches wind speed of 40 to 60 mph and in storms can reach wind speed over

Dear all, I try to first link data in a data.frame() to a (polygon) read.shape() object and then to plot a polygon map showing the data in the data.frame. The first linking is called "link" in ArcView and "relate" in ArcMap. I use the code shown below, though without success. Help with this would be greatly appreciated. Thanks! Tord require(maptools) # Read shape file

Hi, we all know that R is powerful in dealing with graphics. I am now trying to use R to show some geographic attributes for a specific geographic area on a graph. For example, if I would like to generate a graph showing the population densities (in terms of the intensity of colors) for Illinois State by zip codes. I did some research; and it seems that package "maptools" is

Hello All, I have a discontinuous dataset and I used spplot to plot the points. I was wondering whether it is possible to show the legend of the plot as color ramp. I saw that on continuous data. If anyone could tell me that would be great. Another thing I would like to know is how can we create the horizontal legend. By default, the legend is vertical. I was able to shift the legend inside

Hi, I am having trouble debugging this one. The code is attached below, but it seems to be a problem at the C-tk interface. If I run this 1 time there are no problems if I run it more than once I start to get warnings that increase in multiples of 11 everytime I run it. Here is a sample session > source("clrramp2.r") Loading required package: tcltk Loading Tcl/Tk interface ... done

Hello, I am having problems with plotting to a postscript device within a function call. When I do the same thing line by line in the command line interface, I have no problems, but the function creates an empty postscript file. If I remove the dev.off() call at the end of the function, I get one of the plots (the last), but not the others. Is there any way to get around this problem, or a

Hi all, The series is a draft of generic MSI driver that supports PCI and Non-PCI device which have MSI capability. If you're not interested it, sorry for the noise. The series is based on Linux-3.16-rc1. MSI was introduced in PCI Spec 2.2. Currently, kernel MSI driver codes are bonding with PCI device. Because MSI has a lot advantages in design. More and more non-PCI devices want to use

Hi all, The series is a draft of generic MSI driver that supports PCI and Non-PCI device which have MSI capability. If you're not interested it, sorry for the noise. The series is based on Linux-3.16-rc1. MSI was introduced in PCI Spec 2.2. Currently, kernel MSI driver codes are bonding with PCI device. Because MSI has a lot advantages in design. More and more non-PCI devices want to use

Hello: If anyone could guide me with this I would greatly appreciate it. Thanking you in advance for your assistance. Using a 3-level input factor alternative so that a function(below) can compute both a two-sided and one-sided p-values. Making the two-sided test the default. And produce output information about which alternative was tested. Where would I place the ifelse statement?

This is as doumented, and I think you could say the same thing of seq(). BTW, sequence() allows negative inputs, and I don't think you want sum(input) in that case. I've never seen the point of sequence(), but it has been around in R for a long time. It is used in packages eRm, extRemes, hydrosanity, klaR, seas. Who knows what people have in private code, so I don't see any

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

I evaluated the Bayes factor in the k=2 allele case with a "triangular" prior under the null as in the example in the help file: HWETriangBF2(nvec=c(88,10,2)) [1] 0.4580336 When I swap the n11 entry and n22 entry of nvec, I received totally different Bayes factor: > > HWETriangBF2(nvec=c(2,10,88)) [1] 5.710153 > In my understanding, defining the genotype frequency as

Hi, I want to use a discrete color ramp with plot3D, and show NA values as white (default). I get unexpected results per the following. # as in help(slice3D) example: par(mfrow = c(2,2)) x <- y <- z <- seq(-1, 1, by = 0.1) grid <- mesh(x, y, z) colvar <- with(grid, x*exp(-x^2 - y^2 - z^2)) slice3D (x, y, z, colvar = colvar, theta = 60) # # use three discrete classes and colors

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

> -----Original Message----- > From: linux-pci-owner at vger.kernel.org [mailto:linux-pci-owner at vger.kernel.org] > On Behalf Of Yijing Wang > Sent: Saturday, July 26, 2014 8:39 AM > To: linux-kernel at vger.kernel.org > Cc: Xinwei Hu; Wuyun; Bjorn Helgaas; linux-pci at vger.kernel.org; > Paul.Mundt at huawei.com; James E.J. Bottomley; Marc Zyngier; linux-arm- > kernel at

This was sent to me by someone on the R-list ( I don't know her ) but I don't have time to look at this right now so I told her I would send it to the R-list because she said it keeps getting bounced when she sends it. #======================================================================= ==================================================================== I am a bit confused with