similar to: Updating a hexbinplot

Hello, I would like some help to plot a vertical line on a scatterplot build with hexbin package. I just need to plot a vertical line on the graph to mark a threshold value on x axis. It would be better if the parameter of the plot line function respect the x axis scale. Thanks, Rodrigo [[alternative HTML version deleted]]

Dear Ladies and Gentlemen, I have a fairly large database (N=13,000) and a single main categorical discriminator between the groups. I want to look at the time course of a number of continuous biochemical variables over chronologic age. Therefore I believe I need to prepare hexbinplots in two columns with simple regression lines in them (with useOuterStrips (in library(latticeExtra) if

Hi everybody, just arrived at R and immediately I got a problem. Here's my script: setwd("C:/Users/Tom/Eigene Tools/Programming/R/Data") blast_hits<-read.table("blastHit_covLenght.txt", header=T) blast_hits <- as.matrix(blast_hits) numerical1<-data.matrix(blast_hits, rownames.force = NA)

Hello, I'm using the R package called mvpart, which is about the multivariate regression trees. The function I wrote is: mrt1<- mvpart(coefmat~sChip+sScreen+sMem,data=mixdata, xv="pick", plot.add=TRUE,uniform=TRUE,which=4,all=TRUE,xadj=2,yadj=2,rsq=TRUE,big.pts=TRUE,wgt.ave.pca=TRUE,legend=TRUE,bars=F, pca=TRUE) where "coefmat" is a matrix(of dimension N*K) to store

Hello, I am searching for the best method to plot two variables with points whose output color depends on the size of a third variable. For example, the darkness of the x-y point would increase incrementally based on the size of the z value, similar to the colramp parameter in geneplotter. This would be analagous to symbols(), except changing the selection from the color gradient rather than the

Hello: I have a problem when I tried to color the USA map with different colors. The following is my data (I only used the second column of data): alaska, 1, 2 Hawaii, 0, 0 USA, 5, 5 And here is my code: library("latticeExtra") library("mapproj") state<-read.table("C:\\usaclass.txt",sep=",") state

Hi all, I have 35 years, I have been working since I exit from University. I have returned to make a phd...I´m fortunatelly I´m working so unfortunatelly I have few time to study (I have also a baby with 16 months). I´m trying to use R but sometimes it gets very difficult. I´m trying to put this code in my polygon function colramp=colorRampPalette(brewer.pal(9,"YlOrRd") to use

Hi, I have been trying to plot density plots using the example on: http://addictedtor.free.fr/graphiques/graphcode.php?graph=139 I used to use this function, but I cannot get any old code or even the example to work. library("geneplotter") require("RColorBrewer") x1 <- matrix(rnorm(1e4), ncol=2) x2 <- matrix(rnorm(1e4, mean=3, sd=1.5), ncol=2) x <-

Hello, I am attempting to use smoothScatter to plot a heatmap of locations of events in an x-y axis. When I plot the heatmap without passing xlim and ylim parameters, it fills the plot area but the perspective is a bit skewed. I would like to standardize these plots to a uniform window size that does not depend on the range of values in the dataframe. However, when I resize the plot using xlim or

I can save to png, TIFF and jpg but get an error "Error: invalid graphics state" when trying to save as pdf and I have to restart R. This happens when I add mtext lines. There are a few other questions e.g. I want to move the mtext on side 1 to the left, but that is the main issue for now. I'm not using the ylab inside gplot.hexbin because it writes over the numbers on the axis.

> The compare of interest is clear, I think. It compares a Vector Induction Variable with a broadcasted loop invariant value, aka the BTC. Obtaining the latter operand is the goal, clearly, but to do so, the former operand needs to be recognized as a VIV. Yep, exactly that. > What if this compare is not generated by LV’s fold-tail-by-masking transformation? Not sure I completely follow

Hello, I have a few questions, regarding the smoothScatter function. I have a scatter plot with more than 500,000 data points for two samples. So, I am wanting to display the density in colors to convince people that my good correlation coefficient is not due to an "influential point effect" and plus, I also want to make my scatter plot look pretty. Anyway ... I have been able to

From: Matt Fleming <matt.fleming at linux.intel.com> Partially revert "com32: add a centralized bitops header" This reverts part of commit db74cf6c4182f40ecf7fad1f04799d09d82f896d. The usage of the centralized bitops in com32/lib/vsscanf.c is not correct because the bitmap that we're accessing is too large for the 'bt', 'bts' and 'btc' instructions to

Hi R users, I have some sets of variables and put them into one dataframe, like in the following. How to choose a specific set of pareto front, such as 10 from the current datasets (which contains more than 100 sets)? And how to show the 10 points on one figure with different colors? I can put all the points on one figure though, and have the code below. I drew two ggplots to show their

Hi Ayal, Let me start with commenting on this: > A dedicated intrinsic that freezes the compare instruction, for no apparent reason, may potentially cripple subsequent passes from further optimizing the vectorized loop. The point is we have a very good reason, which is that it passes on the right information on the backend, enabling opimisations as opposed to crippling them. The compare

This is a patch to X86TargetLowering::LowerToBT() which was hashed over on the Developers list with Intel concurring. It checks whether the -Oz (optimize for size) flag is set or whether the containing function's PGO cold attribute is set. If either are true it emits BT for tests of bits 8-31 instead of TEST. Previously, TEST was always used for bits 0-31 and BT was always used for bits

I'm trying to (re)learn Sweave and run into some problems. I use now ubuntu (8.10), emacs + ess. Slowly getting upto speed on ess. I have a complete (hopefully) .Rnw file, but the resulting .tex will not compile. The file does not contain anything exotic, but it produces pdf figures, and that is where the problems come: library(tools) > Sweave("varioCoo.Rnw") Writing to file

Ok. To go back to the original issue, would it be meaningful to add a SCEVUMax(0, BTC) on the final BTC computed by SCEV? So that it does not use "negative values"? On Wed, Aug 15, 2018 at 2:40 PM Friedman, Eli <efriedma at codeaurora.org> wrote: > On 8/15/2018 2:27 PM, Alexandre Isoard wrote: > > I'm not sure I understand the poison/undef/UB distinctions. >

I have the code below and it works fine if I print the xyplot but if I take the print out, then I just get a blank pdf. The same holds if I just send the plot to the console without the print ( I get nothing ). My question is whether this is always the case with xyplot or is there something wrong with my settings ? I am on linux ( redhat ) and using R.2.5.0. Thanks. load("stocks.dat")

Hello. I'm pretty much new to R and I'm trying to produce some figures. It seems to me, that R has some asynchronous way of plotting figures. When I run this code: #constructs the semivariogram of SC1929 vgm1 <- variogram(SC1929~1,~U+V,puerto.map$att.data) # trying to make new plot dev.set(which=dev.next()) plot(vgm1) title(main="Semivariogram",font.main=4)