search for: xbins

Hi all; Just to ask if you know about any available function in R to identify points in a image plotted in X11. Something like the function identify(), but able to extract (x,y,value) groups from the image. Thanks and best regards, Javier

Hi Michael, I am trying the solution you've suggested below: DAT <- data.frame(x = runif(1000, 0, 20), y = rnorm(1000)) DAT$xbin <- with(DAT, cut(x, seq(0, 20, 2))) p <- ggplot(DAT, aes(x = x, y = y)) + geom_point(alpha = 0.2) + stat_quantile(aes(colour = ..quantile..), quantiles = seq(0.05, 0.95, by=0.05)) + facet_wrap(~ xbin, scales = "free") print(p)

I just finished up a port of Andy Polyakov's excellent dvd+rw-tools to FreeBSD, and he has incorporated the patches into his release: http://fy.chalmers.se/~appro/ http://fy.chalmers.se/~appro/linux/DVD+RW/ http://fy.chalmers.se/~appro/linux/DVD+RW/tools/ (version 5.8.4.4.4) These tools support DVD-R, DVD-RW, DVD+R, and DVD+RW format dvd burners, including the popular Sony

Hi, How can plot a frequency distribution curve for the following data.    V1      V2 1   1 160.54% 2   1 201.59% 3   1  18.45% 4   1 179.03% 5   1 274.37% 6   1   0.00% 7   1  24.52% 8   1  39.17% 9   3  43.72% 10  1  53.06% 11  1  64.97% 12  1  79.84% 13  1  98.08% 14  1 115.32% 15  1 127.96% 16  1 155.38% 17  1 157.25% 18  1 193.17% 19  1  51.53% 20 15  99.32% 21  1 106.86% 22  1 219.44%

...mes.force = NA) table_no_blast_hits<-read.table("noBlastHits.txt", header=T) no_blast_hits <- as.matrix(table_no_blast_hits) numerical2<-data.matrix(no_blast_hits, rownames.force = NA) All<-merge(numerical1, numerical2, all=TRUE) library(hexbin) bin<-hexbin(All, xbins=100) # The next line works pretty good, but there is one extrem artefact in the data, which let collaps all the data to a small area # plot(bin, main="All",colramp=function(n){heat.ob(n,beg=230,end=25)}) # So I tried to scale my yaxes, with the next line: #plot(bin, main=&quo...

I have a dataframe that has a header like so: class value1 value2 value3 class is a factor the actual values in the columns value1, value2 and value3 are 0-255, I wish to binarize these using biclust. I can do this like so: binarize(dataframe[,-1]) this will return a dataframe, but then I lose my first column class, so I thought I could combine it like so: dataframe <-

...hexbin(x, y) plot(hbin) That does get me a hexgonal bin plot, so far, so good. My problem now is twofold: 1) Some of my data points have really high values in x and y, and I would like to exclude them. First idea was to set xbnds and ybnds parameters for hexbin like this. hbin<-hexbin(x, y, xbins = 50, xbnds = c(0, 5000)) However, hexbin does not like it: Error in hexbin(x, y, xbins = 50, xbnds = c(0, 5000)) : 'xbnds' must encompass range(x). Is there some other way to enforce limits in x and y? Otherwise, I could, of course, prefilter my data. 2) The second problem is limiting...

...er, n= -1) par(mfrow=c(5,3)) tmp6=rep("UserScatterActionRegion.pdf") tmp7=paste(tmp6,sep="") tmp7 #pdf(tmp7) jpeg(file="UserScatterActionRegion.jpeg") for (i in 1:20){ x<-subset(user01 ,userID == userList[i,],select=c(X,Y)) x bin<-hexbin(x$X, x$Y, xbins=100) part1=rep("Action Regions") nameFull=paste(userList[i,],part1,sep="") nameFull plot(bin, main=nameFull) } dev.off()

Is it possible to convert an hexbin object like hexbin(rep(1:100,each=100),rep(1:100,100),xbins=10) and convert it to a vectorial (shp) format? Paulo ---------------------------------------------------------------------------- ------------------------------------------------- This electronic mail transmission including any attachment hereof, contains information that is private and confident...

...y) age <- cut(NH.vars$Age,c(1,45,65,200)) sex <- NH.vars$Sex subs <- tapply(age,list(age,sex)) #bivariate bins for each factor combination for (i in 1:length(unique(subs))) { good <- subs==i assign(paste("nam",i,sep=""), erode.hexbin(hexbin(x[good],y[good],xbins=23,xbnds=rx,ybnds=ry))) } nam <- matrix(paste("nam",1:6,sep=""),ncol=3,byrow=TRUE) rlabels <-c("Females","Males") clabels <- c("Age <= 45","45 < Age <= 65","Age > 65") zoom <- hmatplot(nam,rlabels,clabel...

On 12/07/2016 7:28 AM, timo at timogrossenbacher.ch wrote: > Hello. > > I'm trying to adapt the package ?hexbin? to suit my needs. This is the first > time I do this. I've read a bit through Hadley's ?R packages?, but now I'm > pretty lost (from a workflow point of view). I am using RStudio and Hadley's > devtools. > > So I forked the repo I want to

...a > vignette. You need to put an explicit > > library(hexbin) > This is actually done in the chunk that fails (it fails on the last line here). library("grid") library("hexbin") x <- rnorm(1000) y <- rnorm(1000) ##-- Hexagon Bins: -- hbin <- hexbin(x,y, xbins = 25) > in one of the code chunks. > > Duncan Murdoch > > > > > Also, I tried running devtools::check() and it already fails there: > > R version 3.2.5 (2016-04-14) -- "Very, Very Secure Dishes" > > > > Platform: x86_64-pc-linux-gnu (64-bit) &g...

Hi all- I fit a zero-inflated Poisson model to model bycatch rates using an offset term for effort. I need to apply the fitted model to a datasets of varying levels of effort to predict the associated levels of bycatch. I am seeking assistance as to the correct way to code this. Thanks in advance! Laura [[alternative HTML version deleted]]