1937 search results for "RStudio"

Installing R on OS X – “100% Homebrew Edition”

October 22, 2015
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In a previous post I provided “mouse-heavy” instructions for getting R running on your Mac. A few of the comments suggested that an “all Homebrew” solution may be preferable for some folks. Now, there are issues with this since getting “support” for what may be R issues will be very difficult on the official mailing

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Fisheries Data Sets

October 21, 2015
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Fisheries Data Sets

A large number of small data sets are available in the FSA and FSAdata packages. These data sets may be useful for demonstrating typical fisheries science analyses in an undergraduate or early graduate fisheries science and management course or if one is self-teaching how to perform these analyses. Indeed, several of these data sets are...

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R and other open source tools for Civil Engineering

October 21, 2015
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Open source software has caused a quiet revolution in computing since the creation of the GPL license by Richard Stallman back in 1989. Yet it has been slow to gain ascendency in many areas, including Civil Engineering. This short post discusses this issue in the context of the uptake of QGIS and R for spatial analysis work, with reference to a lecture delivered...

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20 (!) new R jobs (for 2015-10-21)

October 21, 2015
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20 (!) new R jobs (for 2015-10-21)

This is the bi-monthly R-bloggers post (for 2015-10-21) for new R Jobs. To get your R job on the next post Just visit this link and post a new R job to the R community (it’s free and quick). New R jobs Job seekers: please follow the links below to learn more and apply for your job of interest (if you go to R-users.com you may see all the...

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Paging Widget for Shiny Apps

October 21, 2015
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Paging Widget for Shiny Apps

In my last post I described how I built a shiny application called “DFaceR” that used Chernoff Faces to plot multidimensional data. To improve application response time during plotting, I needed to split large datasets into more manageable “pages” to be plotted. Rather than take the path of least resistance and use either numericInput or sliderInput...

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Installing R on OS X

October 20, 2015
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Installing R on OS X

I was in a conversation with an academic colleague (wicked smart dude) and the subject of installing R came up (NOTE: this will happen to you, too, if you ever have the misfortune to have a face-to-face convo with me ;-). They noted that getting up and running with R was not as seamless as

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Introducing the dplyrXdf package

October 20, 2015
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The dplyr package is a popular toolkit for data transformation and manipulation. Over the last year and a half, dplyr has become a hot topic in the R community, for the way in which it streamlines and simplifies many common data manipulation tasks. Out of the box, dplyr supports data frames, data tables (from the data.table package), and the...

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Blogging with Rmarkdown, knitr, and Jekyll

October 19, 2015
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Blogging with Rmarkdown, knitr, and Jekyll

Blogs are some of the best R resources available. However, the paths to an efficient data-blogging workflow are many and perilous! This post walks through how I got the process down to two commands, with the forked teachings of Yihui Xie (… and how you can, too). Those two commands in full: new_post("Post title!") Creates an Rmarkdown file with the...

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trimming CTD files with shiny

October 17, 2015
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trimming CTD files with shiny

Introduction The shiny library provides a graphical user interface (GUI) for the R language that may open up new possibilities for human judgement in data filtering, as well as for the use of R by those who choose not to learn its syntax. The first category is the intended audience here, in this first of a series of blog postings about using shiny...

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Using Containerized Travis-CI to check R in RMarkdown files

October 16, 2015
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Using Containerized Travis-CI to check R in RMarkdown files

I’m teaching a short graduate seminar on Data Visualization with R this semester. Following Matt Salganik, I wanted students to be able to submit homework or other assignments as R Markdown files, but to have a way to make sure their R code passed some basic stylistic checks provided by lintr before they submitted...

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