1866 search results for "rstudio"

Helping Your Organization Migrate to R

March 16, 2015
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Helping Your Organization Migrate to R

by Bob Muenchen As the R programming environment has grown in capability and popularity, so have the number of organizations planning to migrate to it from proprietary tools. I’ve helped members of various organizations transition from SAS, SPSS and/or Stata to R (see Workshop … Continue reading →

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Israel’s 2015 election polls’ analysis with Shiny + ggplot2

March 16, 2015
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Israel’s 2015 election polls’ analysis with Shiny + ggplot2

(This is a guest post by my friend Yoni Sidi, a PhD candidate in statistics at the Hebrew University) Background The Israeli elections are coming up this Tuesday, 17/3/2015 (i.e.: tomorrow!). They are a bit more complicated than your average US presidential race. The elections in Israel are based on nationwide proportional representation. The electoral … Continue reading...

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How to Make a Histogram with ggvis in R

March 13, 2015
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How to Make a Histogram with ggvis in R

The two previous posts described how you can make histograms with basic R and the ggplot2 package. This third and last part of our histograms tutorial will look at how to make a histogram with ggvis. This package is similar to ggplot2, as it is also based on “the grammar of graphics”. However, ggvis has The post

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How to Make a Histogram with ggplot2

March 12, 2015
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How to Make a Histogram with ggplot2

In our previous post you learned how to make histograms with the hist() function. You can also make a histogram with ggplot2, “a plotting system for R, based on the grammar of graphics”. This post will focus on making a Histogram With ggplot2. Want to learn more? Discover the DataCamp tutorials. Step One. Check That The post

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Package Development cheatsheet, plus Chinese translations

March 12, 2015
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Package Development cheatsheet, plus Chinese translations

We’ve added a new cheatsheet to our collection! Package Development with devtools will help you find the most useful functions for building packages in R. The cheatsheet will walk you through the steps of building a package from: Setting up the package structure Adding a DESCRIPTION file Writing code Writing tests Writing documentation with roxygen

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OpenCPU server update for R 3.1.3

March 11, 2015
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OpenCPU server update for R 3.1.3

Following the release of R 3.1.3, I have pushed a new build of the OpenCPU server to launchpad, dockerhub and OBS. This update has no changes in OpenCPU itself, but includes updated versions of R, RStudio and R packages used by OpenCPU. To upg...

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Reading from and writing to SPSS, SAS and STATA with R #rstats #sjPlot

March 11, 2015
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Reading from and writing to SPSS, SAS and STATA with R #rstats #sjPlot

On CRAN now My sjPlot-package was updated on CRAN (binaries will be available soon, I guess). This update contains, besides many small improvements and fixes, two major features: First, new features to print table summaries of linear models and generalized linear models (for sjt.glm, the same new features were added as to sjt.lm – however,

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R 3.1.3 is released (+ easy upgrading for Windows users with the installr package)

March 9, 2015
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R 3.1.3 is released (+ easy upgrading for Windows users with the installr package)

R 3.1.3 (codename “Smooth Sidewalk”) 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 3.1.3 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...

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Going deeper with dplyr: New features in 0.3 and 0.4 (video tutorial)

March 8, 2015
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In August 2014, I created a 40-minute video tutorial introducing the key functionality of the dplyr package in R. dplyr continues to be my "go-to" package for data exploration and manipulation because of its intuitive syntax, blazing fast performance, ...

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CRAN download statistics of any packages #rstats

March 7, 2015
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CRAN download statistics of any packages #rstats

Hadley Wickham announced at Twitter that RStudio now provides CRAN package download logs. I was wondering about the download numbers of my package and wrote some code to extract that information from the logs… The first code snippet is taken from the log website itself: Then I downloaded all files into a folder: Unzipping did

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