similar to: color.scale error

Dear all, I have -one matrix sr ([200,200]) which is the original file -25 matrixes estimatedsr ([200,200]) which are an estimation of the sr. As I am plotting these matrixes I want to have ONE common way that the cells are colored. Eg. Values from 10-20--> red color, 20-30-->blue color (or something like that). This is the only way one can easily compare all these matrixes together. The

Might be slightly OT as it isn't necessarily a CentOS related issue. I've been using WD Reds as mdraid components which worked pretty well for non-IOPS intensive workloads. However, the latest C7 server I built, ran into problems with them on on a Intel C236 board (SuperMicro X11SSH) with tons of "ata bus error write fpdma queued". Googling on it threw up old suggestions to

Dear R users; A follow-up question regarding writing to a file with fixed precision: Assuming for each column of x, I would like to have a different format, then I modify the code as: x.fmt <- apply(x, 1, function(x) sprintf("%.14f %.10f %2.5f", x)) where three different formats are %.14f %.10f %2.5f. The error message I got is "Error in sprintf(fmt, ...) : too few

John R Pierce wrote: > On 10/7/2015 3:14 PM, Matt wrote: >> I have 3 4TB WD drives I want to put in a RAID1 array. >> >> Two WD4000FYYZ >> >> and >> >> One WD4000F9YZ >> >> All enterprise class but two are WD Re and one is WD Se. I ordered >> the first two thinking 2 drives in the raid array would be sufficient >> but later

Hi everyone, I have a matrix containing color values of an image same as following, [1,] "#444444" "#444444" "#434343" "#404040" "#3D3D3D" "#3D3D3D" "#3E3E3E" [2,] "#414141" "#414141" "#414141" "#404040" "#3F3F3F" "#3F3F3F" "#3F3F3F" [3,] "#3E3E3E"

Dear all I am using color2D.maplot to map some matrixes to plot. everything works fine. It seems that when my matrix contains only the same value color2D.maplot returns the following error: color2D.matplot(estimatedsr,redrange=c(0,1),greenrange=c(0,.5),bluerange=c(0,.5),xlab="x",ylab="y",main=sprintf('Estimated'),show.legend=TRUE,show.values=TRUE) Error in rgb(reds,

I find that certain red wines(and only particular wines) cause me to have headaches. I suspect this is because they contain more tannin than other reds. How do I know about the tannin content when I buy a bottle? Do wred wines from certain areas have more tannin than from other areas? Or is it merely a trial & error process? thanks, Howard Richler

On Fri, 2017-01-06 at 12:54 -0500, m.roth at 5-cent.us wrote: > James B. Byrne wrote: > > > > On Thu, January 5, 2017 17:23, Always Learning wrote: > >> > >> Cyber attacks are gradually replacing armed conflicts. > > > > Better fight with bits than blood. > > Yes, but... attacks on the friggin' IoT could result in lots of blood. Or, >

Always Learning wrote: > On Fri, 2017-01-06 at 12:54 -0500, m.roth at 5-cent.us wrote: >> James B. Byrne wrote: >> > On Thu, January 5, 2017 17:23, Always Learning wrote: >> >> >> >> Cyber attacks are gradually replacing armed conflicts. >> > >> > Better fight with bits than blood. >> >> Yes, but... attacks on the friggin'

I have a JPEG map of temperature data, coded using a given legend where blues are cooler and reds hotter. Is there any preexisting R magic or package which might let me recover the value of the scalar quantity so represented given the RGB values at each point in the picture? After processing, I'd also like to push the results back through the translate to get an RGB JPEG again. Thanks for

Hi, I'm trying to create a heatmap with color ranges for different values in my matrix. For example: If x > 5 , use orange gradient if x < 1.5, use red gradient ..... Right now I have the following: orgPal<-brewer.pal(3,"Oranges") bluPal<-brewer.pal(3,"Blues") redPal<-brewer.pal(3,"Reds") grad <- ifelse(randMat >

Here is the relevant log snippet: journal: libvirt version: 1.2.8, package: 16.el7_1.3 (CentOS BuildSystem <http://bugs.centos.org>, 2015-05-12-20:12:58, worker1.bsys.centos.org) journal: failed to connect to monitor socket: No such process journal: internal error: process exited while connecting to monitor: ((null):1937): Spice-Warning **: reds.c:3036:reds_init_socket:

Is there an easy way, for MCLUST in particular, to force its graphical output to all black and not use colors to show the clusters/groups? It shows the groups quite nicely by using triangles, crosses, etc. Unfortunately, my printer doesn't convert reds and yellows too nicely and the result is a indistinct figure on the page. (Yes, I have access to a color printer but my intended publication

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

Hello, I'm having some trouble getting things to look as I want with filled.contour. 1. My first issue is that I am unable to add line segments to my plot where I want them. Using the rug pattern example: x <- y <- seq(-4*pi, 4*pi, len = 27); r <- sqrt(outer(x^2, y^2, "+")); filled.contour(cos(r^2)*exp(-r/(2*pi))); segments(0.2,0.2,1,0.2); The line segment is not found in

Estimados por solicitar su ayuda, estoy intentando cambiar el color de una etiqueta de un gráfico, he realizado múltiples intentos sin un resultado satisfactorio. Debido a que necesito realizar múltiples gráficos he realizado una función que dando parámetros de entrada me grafique las variables o los valores que deseo. Mi problema es en la representación de los colores. Los parámetros de la

I am working on creating an R package for doing fire department analysis and am trying to create a function that can display emergency incident densities. The following code sort of does the trick, but I need a display that shows the number of incidents per square mile. I believe the code below shows incidents per square unit (in this case, degrees lat/long). To solve this problem, I believe

Hi, I'm trying to draw a 2D plot using multiple tints of red. The (simplified) setup is the following: || year | x | y || My idea is that each year is plotted with a different tint of red. Older year (lightest) -> Later year (darkest). I've managed to plot this with different scales of grays simply by doing: palette(gray(length(years):0/length(years))) before the plot and for each

Dear R users, I'm interested in a combination of a scatterplot and an image graph. I have two large vectors. Because in the scatterplot some areas are sparsely and others densely populated, I want to see the points, and I also want their color to be changed based on their density (similar to a heat map). Is there a function that can do that? Thank you, b.

Dear All, I am using the following commands to do the scatter plot of two vectors, say X and Y. plot(X,Y, col="blue") abline(a=1,b=1, col="red") abline(a=-1,b=1, col="green") I would like to split the scatter plot into 3 part with 3 different colors: (i) points lies between 2 lines, (ii) points above line 1, and (iii) points below line 2. I am struggling to do