1905 search results for "rstudio"

memoise 1.0.0

February 2, 2016
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memoise 1.0.0

We are pleased to announce version 1.0.0 of the memoise package is now available on CRAN. Memoization stores the value of function call and returns the cached result when the function is called again with the same arguments. The following function computes Fibonacci numbers and illustrates the usefulness of memoization. Because the function definition is

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tidyr 0.4.0

February 2, 2016
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tidyr 0.4.0

I’m pleased to announce tidyr 0.4.0. tidyr makes it easy to “tidy” your data, storing it in a consistent form so that it’s easy to manipulate, visualise and model. Tidy data has a simple convention: put variables in the columns and observations in the rows. You can learn more about it in the tidy data

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httr 1.1.0 (and 1.0.0)

February 2, 2016
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httr 1.1.0 (and 1.0.0)

httr 1.1.0 is now available on CRAN. The httr packages makes it easy to talk to web APIs from R. Learn more in the quick start vignette. Install the latest version with: install.packages("devtools") When writing this blog post I discovered that I forgot to annouce httr 1.0.0. This was a major release marking the transition

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Devtools 1.10.0

February 2, 2016
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Devtools 1.10.0

Devtools 1.10.0 is now available on CRAN. Devtools makes package building so easy that a package can become your default way to organise code, data, documentation, and tests. You can learn more about creating your own package in R packages. Install devtools with: install.packages("devtools") This version is mostly a collection of bug fixes and minor

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2015 in review and a preview of 2016

February 2, 2016
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DataCamp’s mission is to build the best online platform for data science education with a focus on R and Python. In this post, we share our journey during 2015 and our plans for 2016 (hint: we’re hiring)*: 2015 IN REVIEW 2015 - The data** Since we’re all obsessed with data, let’s start with some numbers: In 2015… the...

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Using Jupyter Notebooks to Define Literate APIs

February 2, 2016
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Using Jupyter Notebooks to Define Literate APIs

Part of the vision behind the Jupyter notebook ecosystem seems to be the desire to create a literate computing infrastructure that supports “the weaving of a narrative directly into a live computation, interleaving text with code and results to construct a complete piece that relies equally on the textual explanations and the computational components” (Fernando

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Tracking ggplot2 Extensions

February 1, 2016
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Tracking ggplot2 Extensions

Introduction The purpose of this blog post is to inform R users of a website that I created to track and list ggplot2 extensions. The site is available at: http://ggplot2-exts.github.io. The purpose of this site is to help other R users easily find ggplot2 extensions that are coming in “fast and furious” from the R community. If you

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Shiny Developers Conference Review

February 1, 2016
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Shiny Developers Conference Review

by Aimee Gott               Late in 2015 I was delighted to receive an invite to the inaugural Shiny Developers Conference to be held in Stanford, California. I didn’t have to think twice about wanting … Continue reading →

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Shiny Developer Conference

January 31, 2016
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Shiny Developer Conference

Really enjoying RStudio‘s Shiny Developer Conference | Stanford University | January 2016. Winston Chang just demonstrated profvis, really slick. You can profile code just by wrapping it in a profvis({}) block and the results are exported as interactive HTML widgets. For example, running the R code below: if(!('profvis' %in% rownames(installed.packages()))) { devtools::install_github('rstudio/profvis') } library('profvis') nrow … Continue reading...

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R Tagosphere!

January 31, 2016
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R Tagosphere!

This post explores the inter-relationships of StackOverflow Tags for R-related questions. So I grabbed all the questions tagged with “r”, took the other tags in each question and made some network charts that show how often each tag is seen with the other tags. The point is to see the empirical relationships …

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