I’m excited to announce that heatmaply model 1.0.0 has been printed to CRAN! (getting began vignette is obtainable right here)
What’s heatmaply?
The bundle goals to be suitable with gplots::heatmap.2 so you could possibly take code written for it and simply change the heatmap.2 command to be heatmaply, and get the interactive model of the plot (though with barely completely different, improved, defaults for colours and dendrogram ordering). Due to the synergistic relationship between heatmaply and different R packages, the consumer is empowered by a refined management over the statistical and visible facets of the heatmap format.
What makes heatmaply nice?
The change from model 0.16.0 to model 1.0.0 is to point the maturity of the bundle. It’s to replicate the next info:
- The primary model of heatmaply (0.1.0) was launched on 2016-05-14. Since then, the bundle has had over 16 model releases (see the NEWS web page for adjustments throughout variations).
- The bundle will get round 5,000 month-to-month downloads, and has been downloaded over 140,000 occasions as of right this moment.
- We printed a tutorial paper on heatmaply within the bioinformatics journal: heatmaply: an R bundle for creating interactive cluster heatmaps for on-line publishing. The paper is open-access beneath CC-BY license. As of right this moment, the paper has been cited 47 occasions.
- The bundle has unit-tests and received 90% code protection.
- This bundle depends totally on the packages plotly and dendextend. Each are very mature packages.
- The bundle is maintained by two authors, Tal Galili (me), and Alan O’Callaghan (who has been the principle purpose this bundle has gotten this far, offering an enormous variety of enhancements and bug fixes!)
What can heatmaply do?
For instance, working the next code will produce an interactive cluster heatmap of the mtcars dataset (after rating the columns and normalizing them to vary from 0 to 1):
# set up.packages("heatmaply")
library(heatmaply)
mtcars_2 <- percentize(mtcars)
heatmaply(mtcars_2, k_row = 4, k_col = 2)
# I received the static picture utilizing ggheatmap as a substitute of heatmaply
