Statistics with R, and open source stuff (software, data, community)
I’m excited to announce that heatmaply version 1.0.0 has been published to CRAN! (getting started vignette is available here) What is heatmaply? heatmaply is an R package for easily creating interactive cluster heatmaps that can be shared online as a stand-alone HTML file. Interactivity includes a tooltip display of values when hovering over cells, as … Continue reading “heatmaply 1.0.0 – beautiful interactive cluster heatmaps in R”
This post on the heatmaply package is based on my recent paper from the journal bioinformatics (a link to a stable DOI). The paper was published just last week, and since it is released as CC-BY, I am permitted (and delighted) to republish it here in full. My co-authors for this paper are Jonathan Sidi, Alan O’Callaghan, and Carson Sievert. Summary: heatmaply is an R … Continue reading “heatmaply: an R package for creating interactive cluster heatmaps for online publishing”
My friend Jonathan Sidi and I (Tal Galili) are pleased to announce the release of shinyHeatmaply (0.1.0): a new Shiny application (and Shiny gadget) for creating interactive cluster heatmaps. shinyHeatmaply is based on the heatmaply R package which strives to make it easy as possible to create interactive cluster heatmaps. The app introduces a functionality that saves to disk a self … Continue reading “shinyHeatmaply – a shiny app for creating interactive cluster heatmaps”
I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on the plotly R package. tl;dr By running the following 3 lines of code: install.packages(“heatmaply”) library(heatmaply) heatmaply(mtcars, k_col = 2, k_row = 3) %>% layout(margin = list(l = 130, b = 40)) You will get this output in your browser … Continue reading “heatmaply: interactive heat maps (with R)”
R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.4 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading “R 3.2.4 is released”
This post on the dendextend package is based on my recent paper from the journal bioinformatics (a link to a stable DOI). The paper was published just last week, and since it is released as CC-BY, I am permitted (and delighted) to republish it here in full: abstract Summary: dendextend is an R package for creating and comparing visually appealing … Continue reading “dendextend: a package for visualizing, adjusting, and comparing dendrograms (based on a paper from “bioinformatics”)”
When using the dendextend package in your work, please cite it using: Tal Galili (2015). dendextend: an R package for visualizing, adjusting, and comparing trees of hierarchical clustering. Bioinformatics. doi:10.1093/bioinformatics/btv428 My R package dendextend (version 1.0.1) is now on CRAN! The dendextend package Offers a set of functions for extending dendrogram objects in R, letting … Continue reading “dendextend version 1.0.1 + useR!2015 presentation”
(Guest post by Matt Sundquist on a lovely new service which is pro-actively supporting an API for R) The Plotly R graphing library allows you to create and share interactive, publication-quality plots in your browser. Plotly is also built for working together, and makes it easy to post graphs and data publicly with a URL … Continue reading “Plotly Beta: Collaborative Plotting with R”
R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site. Last year, I posted on the top 24 R posts of 2011. In this post I wish to celebrate R-bloggers’ third birthmounth by sharing with … Continue reading “100 most read R posts for 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages”
