1948 search results for "rstudio"

Porting Medium to Jekyll Github.io with R

March 23, 2016
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Porting Medium to Jekyll Github.io with R

I’m porting my Medium blog to host on Github using Jekyll at data-steve.github.io. I decided to do it with code and make a package out of it in case others might want to. Reasons Only after setting up the Medium blog did I realize that it doesn’t meet

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Porting Medium to Jekyll Github.io with R

March 22, 2016
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Porting Medium to Jekyll Github.io with R

I’m porting my Medium blog to host on Github using Jekyll at data-steve.github.io. I decided to do it with code and make a package out of it in case others might want to. Reasons Only after setting up the Medium blog did I realize that it doesn’t meet

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Keynotes announced for EARL 2016

March 22, 2016
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Keynotes announced for EARL 2016

We are pleased to announce our two keynote speakers this year at EARL (Effective Application of the R Language) Conference from 13th-15th September. The keynotes will be presenting on the morning of Wednesday 14th September. Kenneth Cukier Kenneth Cukier is … Continue reading →

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R Markdown Custom Formats

March 21, 2016
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R Markdown Custom Formats

The R Markdown package ships with a raft of output formats including HTML, PDF, MS Word, R package vignettes, as well as Beamer and HTML5 presentations. This isn’t the entire universe of available formats though (far from it!). R Markdown formats are fully extensible and as a result there are several R packages that provide additional formats.

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R Markdown v0.9.5

March 21, 2016
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R Markdown v0.9.5

A new release of the rmarkdown package is now available on CRAN. This release features some long-requested enhancements to the HTML document format, including: The ability to have a floating (i.e. always visible) table of contents. Folding and unfolding for R code (to easily show and hide code for either an entire document or for individual chunks).

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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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