1859 search results for "rstudio"

R talks and tutorials at the ODSC East conference (+ 10% discount code)

March 21, 2016
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R talks and tutorials at the ODSC East conference (+ 10% discount code)

(Guest post by Sheamus McGovern of ODSC) R will feature prominently at this year’s Open Data Science conference (ODSC East) in Boston from May 20th to 22nd. We have a strong lineup of workshops and talks from some of the top contributors in the R community. Joe Cheng, the creator of Shiny and CTO of RStudio will present the very...

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HIBPwned, an R package for HaveIBeenPwned.com

March 21, 2016
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HIBPwned, an R package for HaveIBeenPwned.com

The answer in life to the inevitable question of “How can I do that in R?” should be “There’s a package for that”. So when I wanted to query HaveIBeenPwned.com (HIBP) to check whether a bunch of emails had been involved in data breaches and there wasn’t an R package for HIBP, it meant that The post

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Stacking the deck against treemaps

March 18, 2016
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Stacking the deck against treemaps

So, I (unapologetically) did this to @Highcharts last week: @hrbrmstr Your loss of words inspired this post!! https://t.co/3KO0BP0k0u @hadleywickham @ma_salmon @tdmv @bearloga @rushworth_a @awhstin— Highcharts (@Highcharts) March 18, 2016 They did an awesome makeover (it’s interactive if you follow the link): And, I’m not kidding, it’s actually a really good treemap. Not too many hierarchies

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Hy-phen-ate All The Things! (in R)

March 18, 2016
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hyphenatr–what may be my smallest package ever–has just hit CRAN. It, well, hyphenates words using libhyphen (a.k.a. libhnj). There are no external dependencies (i.e. no brew install, apt get, et. al. required) and it compiles on everything CRAN supports including Windows. I started coding this to see if it could be a “poor dude’s ‘syllabifier'”

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Classification on the German Credit Database

March 18, 2016
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Classification on the German Credit Database

In our data science course, this morning, we’ve use random forrest to improve prediction on the German Credit Dataset. The dataset is > url="http://freakonometrics.free.fr/german_credit.csv" > credit=read.csv(url, header = TRUE, sep = ",") Almost all variables are treated a numeric, but actually, most of them are factors, > str(credit) 'data.frame': 1000 obs. of 21 variables: $ Creditability : int 1...

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An Integrated Shiny App for a Course on Repeated Measurements Analysis (completed)

March 18, 2016
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An Integrated Shiny App for a Course on Repeated Measurements Analysis (completed)

Repeated Measurements AnalysisRepeated measurements analysis, and in particular longitudinal data analysis, is one of the two most frequently used types of analysis in my field (Biostatistics) - the other being survival analysis. Starting from this yea...

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R in Insurance: Abstract submission closes end of March

March 18, 2016
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R in Insurance: Abstract submission closes end of March

Hurry! The abstract submission deadline for the 4th R in Insurance conference in London, 11 July 2015 is approaching soon. You have until the 28th of March to submit a one-page abstract for consideration. Both academic and practitioner proposals related to R are...

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rOpenSci geospatial libraries

March 17, 2016
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rOpenSci geospatial libraries

Geospatial data input/output, manipulation, and vizualization are tasks that are common to many disciplines. Thus, we're keenly interested in making great tools in this space. We have an increasing set of spatial tools, each of which we'll cover sparingly. See the cran and github badges for more information. We are not trying to replace the current R geospatial libraries -...

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taskscheduleR: R package to schedule R scripts with the Windows task manager

If you are working on a Windows computer and want to schedule your R scripts while you are off running, sleeping or having a coffee break, the taskscheduleR package might be what you are looking for.  The taskscheduleR R package is available at h...

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R Shiny leaflet: using observers

March 16, 2016
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R Shiny leaflet: using observers

Using leaflet in R is fairly simple and there are plenty of online resources and examples available already. See the RStudio tutorial to get started if you haven’t already. This post presents a series of examples which build upon each other. The code displays both point data and raster data on leaflet maps with Shiny

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