knitr::opts_chunk$set(tidy = FALSE, message = FALSE)
library("tidyr") library("ggplot2") library("dlstats")
This R
package queries download stats of R
packages.
For CRAN packages, it queries from RStudio download logs.
For Bioconductor packages, it queries from Bioconductor download stats.
library("ggplot2") library("dlstats") x <- cran_stats(c("emojifont", "ggimage", "hexSticker", "rvcheck")) if (!is.null(x)) { print(head(x)) ggplot(x, aes(end, downloads, group=package, color=package)) + geom_line() + geom_point() + scale_y_log10() }
pkgs <- c("ChIPseeker", "clusterProfiler", "DOSE", "ggtree", "GOSemSim", "ReactomePA") y <- bioc_stats(pkgs) if (!is.null(y)) { head(y) ggplot(y, aes(end, Nb_of_downloads, group=package, color=package)) + geom_line() + geom_point(aes(shape=package)) library("tidyr") yy <- gather(y, type, Nb, Nb_of_distinct_IPs:Nb_of_downloads) ggplot(yy, aes(end, Nb, shape=package, color=package)) +geom_point() + geom_line() + ylab(NULL) + xlab(NULL) + facet_grid(type~., scales="free_y") + ggtitle("Number of downloads per Month") + scale_x_date(date_breaks="1 year", date_labels = "%Y") }
We also provide shiny app for visualizing download stats of R packages.
User can use cranApp()
or biocApp()
for CRAN
packages and Bioconductor
packages respectively.
biocApp()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.