1866 search results for "RStudio"

Make dashboard Tiles/Notecards in R

February 25, 2016
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Make dashboard Tiles/Notecards in R

Dashboard Tiles/Notecards are a great way to visualize just one number, and make it big and pretty. They can emphasize results in an easily digestible and colourful format. I was surprised that there was no way to create tiles offline (there is however a very good online version in shinydashboards), so …

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Incase you missed it: My Webinar on Spatial Data Analysis with R

February 25, 2016
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Incase you missed it: My Webinar on Spatial Data Analysis with R

In case you missed my free webinar on “Getting Started with Spatial Data Analysis with R“,  here is the recording. You can access the material used for this webinar from Domino Data Lab‘s platform using the following links: The Slides The RMarkdown Script The Whole Project If you have

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Spatial and Temporal Viz of Gas Price, in France

February 25, 2016
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Spatial and Temporal Viz of Gas Price, in France

A great think in France, is that we can play with a great database with gas price, in all gas stations, almost eveyday. The file is rather big, so let’s make sure we have enough memory to run our codes, > rm(list=ls()) To extract the data, first, we should extract the xml file, and then convert it in a...

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Explore New Zealand’s Tourist Industry with R and Shiny

February 24, 2016
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Explore New Zealand’s Tourist Industry with R and Shiny

New Zealand's Ministry of Business, Innovation and Employment has just released the New Zealand Tourism Dashboard, an interactive application which allows NZ residents (and curious onlookers everywhere) to explore the economic impact of tourism in the far-flung nation. The dashboard is implemented using Shiny, and all of the graphics and analyses were created using the R language Each tab...

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More Shiny user showcase demonstrations

February 24, 2016
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More Shiny user showcase demonstrations

We at Win-Vector LLC are very proud to announce that RStudio just inducted two more of our demonstration Shiny applications into their Shiny User Showcase gallery. Checkout the gallery to see our demonstrations of: Finding the k in k-means A/B test interactive design and analysis tool The geometry of classifiers RStudio (the authors of Shiny) … Continue reading...

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Installing the additional R packages in Oracle Big Data Lite VM 4.4.0

February 23, 2016
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In the just-released version 4.4.0 of Oracle Big Data Lite VM, as in the previous one (4.3.0.1), there is a rather large number of additional R packages to be installed by the provided script install_additional_packages.sh, i.e. 28 packages without counting their dependencies (the respective number in version 4.2.1 was only 10). Unfortunately, what has also changed is the form...

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Conducting Assessments and Surveys with Shiny

February 23, 2016
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This post describes a framework for using Shiny for conducting, grading, and providing feedback for assessments. This framework supports any multiple choice format including multiple choice tests or Likert type surveys. A demo is available at jbryer.shinyapps.io/ShinyAssessmentTest or can be run locally as a Github Gist: runGist('a6fb5a3b1d5fd56cff64') Key features of this framework include: Assessments take over the entire user interface...

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Shiny App for Bayes Billiards Problem

February 22, 2016
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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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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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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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