by Joseph Rickert Here are a few things of some interest in the R world: The Gordon and Betty Moore Foundation has joined the R Consortium! This is a very positive development for the R Consortium and the R Community in general. The Moore Foundation has been a positive force ... [Read more...]

by Joseph Rickert Last month, 217 new packages were submitted to CRAN. By my count this was the highest monthly value recorded for the past nine years. Below, are brief descriptions of fifty-two of these new-for-December packages grouped into six categories: Data, Data Science, Financial Analysis, Statistics, Utilities and Visualizations. The ... [Read more...]

by Joseph Rickert The R package system continues to expand as the number of packages on CRAN is about to blow through the 10,000 mark sometime soon. This is astonishing! Not only are new packages arriving at a rate of about 190 per month, but CRAN itself continues to tick along like ... [Read more...]

by Joseph Rickert Recently, I had the opportunity to interview RStudio’s Joe Cheng. Joe, the inventor and lead developer for Shiny, was the first person that J.J. Allaire invited to join the RStudio IDE project. We talked about those early days, how Shiny got started, Joe’s background ... [Read more...]

by Joseph Rickert The 2017 R Conference season will get off to an early start on January 13th and 14th with RStudio::Conf 2017 in Orlando, Florida. The schedule promises an intense but collegial experience with plenty of hands-on practice working with R and the RStudio tool chain of packages and products. ... [Read more...]

by Joseph Rickert November was a prolific month for R developers: 189 new packages landed in CRAN. I have selected more than a quarter of them for this post, but I haven’t listed everything that is worth a look. My November 2016 picks are organized into four categories: Biotech (4 picks), Data (6 ... [Read more...]

by Joseph Rickert If you are aspiring to write good R code, you may find it helpful to occasionally spend some time reading about writing: reading about writing R code, and reading about writing about R code that you’ve written. (If you write some excellent R code, you will ... [Read more...]

by Joseph Rickert One great advantages of working in R is the quantity and sophistication of the statistical functions and techniques available. For example, R’s quantile() function allows you to select one of the nine different methods for computing quantiles. Who would have thought there could be so many ... [Read more...]

.fusion-fullwidth-1 { padding-left: px !important; padding-right: px !important; }by Joseph Rickert I am ever-optimistic that on the weekend I will have enough time and bra... [Read more...]

by Joseph Rickert In my August Package Picks post, I explained that my selection criteria favor packages with vignettes. (I find skimming through a package’s vignettes to be an effective method of “grokking” what a package is all about.) I also questioned why a person would go to all ... [Read more...]

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.fusion-fullwidth-1 { padding-left: px !important; padding-right: px !important; }by Joseph Rickert I found my way into data science and machine learning relatively late in... [Read more...]

by Joseph Rickert September was a bit of a slow month for new R packages. Only 96 new packages showed up un CRAN. Nevertheless, I have picked out 23 for special mention which I have listed in 5 categories. I used the same selection criteria as I described in the post for August ... [Read more...]

.fusion-fullwidth-1 { padding-left: px !important; padding-right: px !important; }by Joseph Rickert 141 new packages landed on CRAN in August. The following are my picks f... [Read more...]

.fusion-fullwidth-1 { padding-left: px !important; padding-right: px !important; }by Joseph Rickert Welcome to “R Views”, the new R Community blog from RStudio.... [Read more...]

by Joseph Rickert Data Science is all about getting access to interesting data, and it is really nice when some kind soul not only points out an interesting data set but also makes it easy for you to access it. Below is a list of 17 R packages that appeared on ... [Read more...]

by Anusua Trivedi, Microsoft Data Scientist Background and Approach This blog series is based on my upcoming talk on re-usability of Deep Learning Models at the Hadoop+Strata World Conference in Singapore. This blog series will be in several parts – where I describe my experiences and go deep into the ... [Read more...]

by Joseph Rickert My guess is that a good many statistics students first encounter the bivariate Normal distribution as one or two hastily covered pages in an introductory text book, and then don't think much about it again until someone asks them to generate two random variables with a given ... [Read more...]

by Bob Horton, Microsoft Data Scientist ROC curves are commonly used to characterize the sensitivity/specificity tradeoffs for a binary classifier. Most machine learning classifiers produce real-valued scores that correspond with the strength of the prediction that a given case is positive. Turning these real-valued scores into yes or no ... [Read more...]

by Joseph Rickert My impression is that the JSM has become ever more R friendly over recent years, but with two sessions organized around R tools and several talks featuring R packages, this year may turn out to be the beginning of a new era where conference organizers see value ... [Read more...]