ggproto

This question already has an answer here: How to use an image as a point in ggplot? 3 answers Is it possible to display custom image (say png format) as geom_point in R ggplot? library(png) pic1 <- readPNG("pic1.png") png("Heatmap.png", units="px", width=3200, height=3200, res=300) ggplot(data_frame, aes(medium, day, fill = Transactions)) + geom_tile(colour="white") + facet_grid(dime3_year~dime3_month) + scale_fill_gradient(high="blue",low="white") + theme_bw() + geom_point(aes(dime3_channel, day, size=Conv,alpha=Conv,image=(annotation_raster(pic1,xmin=0,ymin=0,xmax=5,ymax=5)),color="firebrick

I'm using ggmap, and got the error below: Error: GeomRasterAnn was built with an incompatible version of ggproto. Please reinstall the package that provides this extension. I've installed the latest version of both ggmap(2.6.1) and ggplot2(2.2.0), but still got the same error. I ran into this problem as well today, and I had to install the GitHub development versions of ggplot2 and ggmap and restart R to get rid of this error: devtools::install_github("dkahle/ggmap") devtools::install_github("hadley/ggplot2") Before that, I also reinstalled all of the packages mentioned here: https://github

I'm trying to use ggplot2 / geom_boxplot to produce a boxplot where the whiskers are defined as the 5 and 95th percentile instead of 0.25 - 1.5 IQR / 0.75 + IQR and outliers from those new whiskers are plotted as usual. I can see that the geom_boxplot aesthetics include ymax / ymin, but it's not clear to me how I put values in here. It seems like: stat_quantile(quantiles = c(0.05, 0.25, 0.5, 0.75, 0.95)) should be able to help, but I don't know how to relate the results of this stat to set the appropriate geom_boxplot() aesthetics: geom_boxplot(aes(ymin, lower, middle, upper, ymax)) I've seen

I'd like to create a split violin density plot using ggplot, like the fourth example on this page of the seaborn documentation. Here is some data: set.seed(20160229) my_data = data.frame( y=c(rnorm(1000), rnorm(1000, 0.5), rnorm(1000, 1), rnorm(1000, 1.5)), x=c(rep('a', 2000), rep('b', 2000)), m=c(rep('i', 1000), rep('j', 2000), rep('i', 1000)) ) I can plot dodged violins like this: library('ggplot2') ggplot(my_data, aes(x, y, fill=m)) + geom_violin() But it's hard to visually compare the widths at different points in the side-by-side distributions. I haven't been able to find any examples of

Is there some way to use a specific small image as a point in a scatterplot with ggplot2. Ideally I will want to resize the images based on an variable. Here's an example: library(ggplot2) p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point(aes(size = qsec, shape = factor(cyl))) So I basically want to know if there is a way to supply a specific image as the shape? Here's a minimalist geom to display raster images instead of points, library(ggplot2) library(grid) ## replace by a named list with matrices to be displayed ## by rasterGrob .flaglist <- list("ar" = matrix(c("blue", "white", "blue"), 1)