1400 search results for "RStudio"

Scraping Web Pages With R

April 15, 2015
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Scraping Web Pages With R

One of the things I tend to avoid doing in R, partly because there are better tools elsewhere, is screenscraping. With the release of the new rvest package, I thought I’d have a go at what amounts to one of the simplest webscraping activites – grabbing HTML tables out of webpages. The tables I had

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New Packages for Reading Data into R

April 15, 2015
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New Packages for Reading Data into R

Hadley Wicham has announced two new package for reading external data into R that will likely be of great interest to fisheries scientists. readr — Several new functions that replace the traditional read.csv() and read.table() (among others).  Hadley’s announcement is here, … Continue reading →

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Get data out of excel and into R with readxl

April 15, 2015
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excel_to_R

I’m pleased to announced that the first version of readxl is now available on CRAN. Readxl makes it easy to get tabular data out of excel. It: Supports both the legacy .xls format and the modern xml-based .xlsx format. .xls support is made possible the with libxls C library, which abstracts away many of the

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Interactive time series with dygraphs

April 14, 2015
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Interactive time series with dygraphs

The dygraphs package is an R interface to the dygraphs JavaScript charting library. It provides rich facilities for charting time-series data in R, including: Automatically plots xts time-series objects (or objects convertible to xts). Rich interactive features including zoom/pan and series/point highlighting. Highly configurable axis and series display (including optional 2nd Y-axis). Display upper/lower bars (e.g. prediction

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RPowerLabs: Electric power system virtual laboratories online

April 14, 2015
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RPowerLabs: Electric power system virtual laboratories online

by Ben Ubah Founder, RPowerLabs No disregard to R's colleagues, R is pioneering the creation of online virtual electric power system laboratories via RPowerLABS. RPowerLABS is a project, with the vision of deploying online, a vast array of highly demanded power system simulations for teaching and research using R. It started as an attempt to apply R to electric...

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A new interactive interface for learning R online, for free

April 13, 2015
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A new interactive interface for learning R online, for free

Using the open-source swirl project and RStudio server, DataCamp has created an exciting new online learning interface. Discover a fun collection of free interactive R tutorials covering basic R functions, the apply-family, base graphics, data structures and much more. www.datacamp.com/swirl-r-tutorial Together with the team behind swirl, we want to make it fun and easy to learn R programming The post

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inline 0.3.14

April 13, 2015
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The inline package facilitates writing code in-line in simple string expressions or short files. The package is mature and in maintenance mode: Rcpp used it greatly for several years but then moved on to Rcpp Attributes so we have a much limited need...

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JSON serialization now even faster and prettier

April 12, 2015
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JSON serialization now even faster and prettier

The jsonlite package implements a robust, high performance JSON parser and generator for R, optimized for statistical data and the web. This week version 0.9.16 appeared on CRAN which has a new prettifying system, improved performance and some additional tweaks for the new mongolite package. Improved Performance Everyones favorite feature of jsonlite: performance....

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Write an R Journal article with knitr

April 11, 2015
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Write an R Journal article with knitr

R Journal The R Journal publishs peer-reviewed short to medium length articles covering topics that might be of interest to users or developers of R. It is a welcome platform to spread word of new packages. As most academic journals, it has strict guidelines regarding the format of submitted articles. Traditionally, these have been provided with a The post

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New packages for reading data into R — fast

April 10, 2015
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Hadley Wickham and the RStudio team have created some new packages for R, which will be very useful for anyone who needs to read data into R (that is, everyone). The readr package provides functions for reading text data into R, and the readxl package provides functions for reading Excel spreadsheet data into R. Both are much faster than...

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