1983 search results for "Rstudio"

From spss to R, part 2

February 21, 2016
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From spss to R, part 2

Introduction In this lesson we will open a .sav file in Rstudio and manipulate the data.frame. We will select parts of the file and create some simple overviews. First time with R? No problem, see lesson 1 (https://rmhogervorst.github.io/cleancode/blog/2016/02/20/from-spss-to-r-part1.html#introduction “From spss to R, part 1”) Introduction Download a .sav (SPSS) file ...

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Shiny App for Bayes Billiards Problem

February 20, 2016
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Shiny App for Bayes Billiards Problem

Consider a pool table of length one. An 8-ball is thrown such that the likelihood of its stopping point is uniform across the entire table (i.e. the table is perfectly level). The location of the 8-ball is recorded, but not known to the observer. Subsequent balls are thrown one at a time and all that is reported is whether...

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Read from hdfs with R. Brief overview of SparkR.

February 19, 2016
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Disclaimer: originally I planned to write post about R functions/packages which allow to read data from hdfs (with benchmarks), but in the end it became more like an overview of SparkR capabilities. Nowadays working with “big data” almost always means working with hadoop ecosystem. A few years ago this also meant that you also would have to be a good...

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Read from hdfs with R. Brief overview of SparkR.

February 19, 2016
By

Disclaimer: originally I planned to write post about R functions/packages which allow to read data from hdfs (with benchmarks), but in the end it became more like an overview of SparkR capabilities. Nowadays working with “big data” almost always means working with hadoop ecosystem. A few years ago this also meant that you also would have to be a good...

Read more »

From spss to R, part 1

February 19, 2016
By
From spss to R, part 1

Introduction This whole blog is devoted to R and clean coding in R. But what if you want to start with R? There are millions of websites devoted to learning R. just look at the number of hits on a certain search machine. Most of these hits start with the basics and slowly work your way...

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Shinyapps.io Update Notification

February 19, 2016
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Shinyapps.io Update Notification

RStudio is pleased to notify account holders of recent updates to shinyapps.io. Note: Action is required if your shiny application URL includes internal.shinyapps.io What’s New? We have updated the authentication and invitation system to improve the user experience, security, and extensibility for anyone with private applications. You may have already noticed some changes to the

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Password protect Shiny Apps

February 19, 2016
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Password protect Shiny Apps

In this post, we explain how you can password protect apps hosted on Shiny Open Source server. This tutorial is the fourth in our Shiny AWS series. It builds on the previous tutorials, namely: Setting up an AWS instance for R Installing Shiny Server on AWS Shiny https As with the other tutorials in the series, The post

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Sustainable code for social scientists

Over at his blog “One Tip per Day”, Xianjun Dong has produced an excellent list of “15 Practical Tips For a Bioinformatician”. This note is my own version of these tips, aimed at social scientists who need to write sustainable (i.e. reproducible) code for either individual or collective research projects. Required software This note is based on my...

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Interactively building test forms from an IRT perspective An application of R and Shiny

February 18, 2016
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Interactively building test forms from an IRT perspective An application of R and Shiny

Interactively building test forms from an IRT perspective: An application of R and Shiny Brandon LeBeau University of Iowa Overview R R is an open source statistical programming language. Pros: Common statistical procedures...

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Interactively building test forms from an IRT perspective An application of R and Shiny

February 18, 2016
By
Interactively building test forms from an IRT perspective An application of R and Shiny

Interactively building test forms from an IRT perspective: An application of R and Shiny Brandon LeBeau University of Iowa Overview R R is an open source statistical programming language. Pros: Common statistical procedures...

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