search for: geom_hex

...o, I have written a version of the Kohenen Self Organizing Map (in R) and wish to use ggplot2 for the visualization. My results are RGB values in a matrix [x,y,1:3] where x and y comprise the first two dimensions and the third dimension is the RGB vector. I am not sure whether to use geom_tile or geom_hex as there really is no binning at the finest granularity. For testing, the matrix is 100, 100, 3 in size. What approach would you suggest? TIA, DrX

I've hit a bug on Ubuntu 20.04. The issue occurred both with the R version that shipped with Ubuntu last week, and it is occurring now with the CRAN packages from one of the mirros (deb http://cran.mirror.garr.it/mirrors/CRAN/bin/linux/ubuntu/ focal-cran40/). The issue occurs whether I use the deb package for viridis in the Ubuntu repos, or I install it with `install.packages()` in R.

Hi I've attached an example about something I want to do in R. This example was done in a Fortran application called ASGL. Here's an example in matplotlib http://matplotlib.sourceforge.net/examples/pylab_examples/hexbin_demo.html Basically, it's like a scatter plot, but have several additional things. One thing are the grids inside the graph, and the other is a density bar used

...if + doesn't know how to deal with an object type * coord_cartesian and coord_flip: now can wisely zoom when wise = TRUE * coord_polar: fix point division bugs * facet_grid: now labels in facet_grid are correctly aligned when the number of factors is more then one (fixes #87 and #65) * geom_hex: now correctly applies alpha to fill colour not outline colour (thanks to bug report from Ian Fellows) * geom_polygon: specifying linetype now works (thanks to fix from Kohske Takahashi) * hcl: can now set c and l, and preserves names (thanks to suggestion by Richard Cotton) * mean_se: a n...

...if + doesn't know how to deal with an object type * coord_cartesian and coord_flip: now can wisely zoom when wise = TRUE * coord_polar: fix point division bugs * facet_grid: now labels in facet_grid are correctly aligned when the number of factors is more then one (fixes #87 and #65) * geom_hex: now correctly applies alpha to fill colour not outline colour (thanks to bug report from Ian Fellows) * geom_polygon: specifying linetype now works (thanks to fix from Kohske Takahashi) * hcl: can now set c and l, and preserves names (thanks to suggestion by Richard Cotton) * mean_se: a n...

I know that by setting alpha to for example col = rgb(0, 0, 0, 0.1) it is possible to see how many overlapping is in the plot. But disadvantage of it is that single points are barely visible on the background. So I wonder if there is possible to make setting that single points would be almost black, but with more and more data on the same spot it would get more and more whiteish. Or maybe it is

...R-help (December 2009) R> setwd('/home/edd/') R> R> library(viridisLite) R> example(viridis) viridsR> library(ggplot2) viridsR> library(hexbin) viridsR> dat <- data.frame(x = rnorm(10000), y = rnorm(10000)) viridsR> ggplot(dat, aes(x = x, y = y)) + virids+ geom_hex() + coord_fixed() + virids+ scale_fill_gradientn(colours = viridis(256, option = "D")) Hit <Return> to see next plot: viridsR> # using code from RColorBrewer to demo the palette viridsR> n = 200 viridsR> image( virids+ 1:n, 1, as.matrix(1:n), virids+ col = viridis(...

...erstand. See http://had.co.nz/ggplot2/book. I love to hear your feedback about the book, but at this point please don't bother reporting minor typos, I would much rather hear about what you want to do, but can't figure out from the book. Other new features: * geom_bin2d/stat_bin2d & geom_hex/stat_binhex: for 2d square and hexagon binning, particularly useful for alleviating overplotting in scatterplots * geom_freqpoly: draws frequency polygons (= stat_bin + geom_line) * scale_position: both discrete and continuous gain a new formatter argument to control the default formatting of the a...

...erstand. See http://had.co.nz/ggplot2/book. I love to hear your feedback about the book, but at this point please don't bother reporting minor typos, I would much rather hear about what you want to do, but can't figure out from the book. Other new features: * geom_bin2d/stat_bin2d & geom_hex/stat_binhex: for 2d square and hexagon binning, particularly useful for alleviating overplotting in scatterplots * geom_freqpoly: draws frequency polygons (= stat_bin + geom_line) * scale_position: both discrete and continuous gain a new formatter argument to control the default formatting of the a...

...gt; R> > R> library(viridisLite) > R> example(viridis) > > viridsR> library(ggplot2) > > viridsR> library(hexbin) > > viridsR> dat <- data.frame(x = rnorm(10000), y = rnorm(10000)) > > viridsR> ggplot(dat, aes(x = x, y = y)) + > virids+ geom_hex() + coord_fixed() + > virids+ scale_fill_gradientn(colours = viridis(256, option = "D")) > Hit <Return> to see next plot: > > viridsR> # using code from RColorBrewer to demo the palette > viridsR> n = 200 > > viridsR> image( > virids+ 1:n, 1, a...

...set=ISO-8859-1 Hi, I suggest taking a look at the plotting functions in the ggplot2 package. For example: x <- rnorm(10000) y <- x+rnorm(10000) dat <- data.frame(x,y) library(ggplot2) p <- ggplot(dat, aes(x=x, y=y)) p + geom_point() # too much overplotting: compare to dev.new() p + geom_hex(binwidth=c(.1,.1)) Best, Ista On Sun, Nov 21, 2010 at 9:13 AM, madr <madrazel at interia.pl> wrote: > > I know that by setting alpha to for example col = rgb(0, 0, 0, 0.1) it is > possible to see how many overlapping is in the plot. But disadvantage of it > is that single points...