similar to: ggplot 2 semi-transparency error

I am trying to do something simple with ggplot. I wish to draw a density plot split by group, and fill each group with a different colour (and each with an alpha =0.25). I have tried a number of variations of the following, but cannot find a way to define the colour of the fill, its transparency and the line around it individually - something in the syntax continues to defy me.

Hi all, I am trying to plot a weighted density plot for two different types and want to show the data points on the x axis. The code is as follows. The data points are very concentrated. Is there a better way to present it( should I set the alpha value or something else)? Thanks! YL library(ggplot2) x <- rnorm(10000) a <- rnorm(5000) b <- rnorm(5000) weights.x <- abs(a/sum(a))

In ?par there is the following line: "Semi-transparent colors are available for use on devices that support them." I'm looking for a way to query for that support on the current device. I'm pretty sure that this functionality exists at some level as I remember seeing warnings to this effect but my searches have come up empty. Is anyone familiar with a direct path to this

Hi dear all, In my laptop(ubuntu 11.10 64bit), I maintained a released R (2.14) and a developmental R, I can specify qplot(..., alpha = ) in R 2.14 , but when I try to use transparency in developmental R, I got a warning message and the plot is clearly not I want. minimal example: > qplot(data = mtcars, x = mpg, y = cyl, alpha = cyl) Warning message: In grid.Call.graphics(L_points, x$x, x$y,

Hi dear all, In my laptop(ubuntu 11.10 64bit), I maintained a released R (2.14) and a developmental R, I can specify qplot(..., alpha = ) in R 2.14 , but when I try to use transparency in developmental R, I got a warning message and the plot is clearly not I want. minimal example: > qplot(data = mtcars, x = mpg, y = cyl, alpha = cyl) Warning message: In grid.Call.graphics(L_points, x$x, x$y,

Dear all, I do not fully understand how ggplot2 handles NAs. See the following example: library(ggplot2) x <- rnorm(150) g <- as.factor(c(rep(c(0,1,NA),50))) mydf <- data.frame(x,g) m <- ggplot(aes(x = x, group = g, color = g), data = mydf) m + geom_density() How do I get rid of the NAs (i.e. the blue colored curve)? I thought ## m <- ggplot(aes(x = x, group = g, color = g,

I am learning ggplot2 commands and I have figured out how to create histograms and density curves but I am not sure how to add a density curve on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"), colour=I("black"), geom="histogram") w ##Density Curve

Hi, I plotted a histogram using ggplot2 and saved it as a pdf.However, the portions outside the histogram dont appear transparent when I use a non-white bg colour in my latex document.What can I do to make them transparent? -- Rajesh.J [[alternative HTML version deleted]]

Dear all, For two sets of random variables, say, x <- rnorm(1000, 10, 10) and y <- rnorm(1000. 3, 20). Is there any way to overlay the histograms (and density curves) of x and y on the plot of y vs. x? The histogram of x is on the x axis and that of y is on the y axis. The density curve here is to approximate the shape of the distribution and does not have to have area 1. Thank you

This has to do with your own timezone. If I run that code on my computer, both formats are correct. If I do this after Sys.setenv(TZ = "UTC") Then: > cbind(format(dlt), format(dct)) [,1] [,2] [1,] "2016-12-06 21:45:41" "2016-12-06 20:45:41" [2,] "2016-12-06 21:45:42" "2016-12-06 20:45:42" The reason for that, is that

After installing R-3.4.0 I ran 'make check' which halted here: $ > tail reg-tests-1d.Rout.fail -n 16 > ## format()ing invalid hand-constructed POSIXlt objects > d <- as.POSIXlt("2016-12-06"); d$zone <- 1 > tools::assertError(format(d)) > d$zone <- NULL > stopifnot(identical(format(d),"2016-12-06")) > d$zone <- "CET" # =

After installing R-3.4.0 I ran 'make check' which halted here: $ > tail reg-tests-1d.Rout.fail -n 16 > ## format()ing invalid hand-constructed POSIXlt objects > d <- as.POSIXlt("2016-12-06"); d$zone <- 1 > tools::assertError(format(d)) > d$zone <- NULL > stopifnot(identical(format(d),"2016-12-06")) > d$zone <- "CET" # =

On Wed, 17-May-2017 at 01:21PM +0200, Peter Dalgaard wrote: |> |> Anyways, you might want to |> |> a) move the discussion to R-devel |> b) include your platform (hardware, OS) and time zone info System: Host: MTA-V1-427894 Kernel: 3.19.0-32-generic x86_64 (64 bit gcc: 4.8.2) Desktop: KDE Plasma 4.14.2 (Qt 4.8.6) Distro: Linux Mint 17.3 Rosa Machine: System:

> On 18 May 2017, at 13:47 , Joris Meys <jorismeys at gmail.com> wrote: > > Correction: Also dlt uses the default timezone, but POSIXlt is not recalculated whereas POSIXct is. Reason for that is the different way values are stored (hours, minutes, seconds as opposed to minutes from origin, as explained in my previous mail) > I would suspect that there is something more subtle

I have a data that looks like this: http://dpaste.com/88561/plain/ And I intend to create multiple density curve into one plot, where each curve correspond to the unique ID. I tried to use "sm" package, with this code, but without success. __BEGIN__ library(sm) dat <- read.table("mydat.txt"); plotfn <- ("~/Desktop/flowgram_superimposed.pdf"); pdf(plotfn);

I'm trying to overlay two histograms using transparency to enable viewing of multiple distributions on a single scale. So far ggplot2 seems to do what I want. However I'm having a problem generating the legend coloring appropriate to each distribution in the plot. Here is a test case to show my best (failed) effort so far: library(ggplot2) x <- data.frame(X=rnorm(1000, mean=0)) y

(Disclaimer: this is not an LPC vs. LSP question) After looking at the Vorbis code I was wondering why you were using LSP to quantize the spectral envelope instead of simply quantizing the cepstrum (DCT(log(envelope))) or modified cepstrum (DCT(envelope.^alpha)). To me it seems like when the information is already in the frequency domain, there's no need to go back to LPC. Also, I think a DCT

Why for white-pixel image, oc_enc_fdct8x8_c() returns the matrix with non-zero AC-coefficients? _x[64]: * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 * 107 107 107 107 107 107 107 107 _y[64]: * 3426

hi all, i have a simple scatter plot, and i'd like to make it so the scatter plot colors are slightly transparent. i see in a previous post that someone mentioned the "alpha" parameter, but i am not sure how it can be used with the 'plot' function [*]. for example, suppose i have: plot(mydata$column1, mydata$column2, col="red", cex=1) i now want to make it so

Hi all, I was trying to draw a stacked density plot like that : library(ggplot2); library(plyr) dat <- cbind(rnorm(300), rep(c(1,2), each=150)) ggplot() + geom_density(aes(x=dat[,1], fill=factor(dat[,2]), position="stack")) + xlab("") + ylab("") + scale_colour_manual(name = "Pallet", labels = c("X", "Y")) Here