Yesterday in Data Science March 12th 2017

Following my post about logistic regressions, Ryan got in touch about one bit of building logistic regressions models that I didnÔÇÖt cover in much detail ÔÇô interpreting┬áregression coefficients. This post will hopefully help Ryan (and others) out. @SteffLocke This was
The post How to go about interpreting regression cofficients appeared first on Locke Data. Locke Data are a data science consultancy aimed at helping organisations get ready and get started with data science.
More details at… http://feedproxy.google.com/~r/RBloggers/~3/r6eQu42S844/

Focus for books on R tend to be highly focused on either statisticians or programmers. There is a dearth of material to assist those in typically less quantitative field access the powerful tools in the R ecosystem. Enter Text Analysis with R for Students of Literature. I haven’t done a deep read of the book, [ÔǪ]
More details at… http://feedproxy.google.com/~r/RBloggers/~3/t7GZ9GZ46A4/

Recently, I read a post regarding a sentiment analysis of Mr Warren Buffetts annual shareholder letters in the past 40 years written by Michael Toth. In this post, only five of the annual shareholder letters showed negative net sentiment scores, whereas a majority of the letters (88%) displayed a positive net sentiment score. Toth noted []Related PostUsing MongoDB with RFinding Optimal Number of ClustersAnalyzing the first Presidential DebateGoodReads: Machine Learning (Part 3)Machine Learning for Drug Adverse Event Discovery
More details at… http://feedproxy.google.com/~r/RBloggers/~3/xa89N8oIGxk/

There’s a handy new function in R 3.4.0 for anyone interested in data about CRAN packages. It’s not documented, but it’s pretty simple: tools::CRAN_package_db() returns a data frame with one row for every package on CRAN and 65 columns of data on those packages, as shown below. > names(tools::CRAN_package_db()) [1] “Package” “Version” “Priority” [4] “Depends” “Imports” “LinkingTo” [7] “Suggests” “Enhances” “License” [10] “License_is_FOSS” “License_restricts_use” “OS_type” [13] “Archs” “MD5sum” “NeedsCompilation” [16] “Additional_repositories” “Author” “Authors@R” [19] “Biarch” “BugReports” “BuildKeepEmpty” [22] “BuildManual” “BuildResaveData” “BuildVignettes” [25] “Built” “ByteCompile” “Classification/ACM” [28] “Classification/ACM-2012” “Classification/JEL” “Classification/MSC” [31] “Classification/MSC-2010” “Collate” “Collate.unix” [34] “Collate.windows” “Contact” “Copyright” [37] “Date” “Description”…
More details at… http://feedproxy.google.com/~r/RBloggers/~3/Qknl1yY37PE/

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 
20 Great Blogs Posted in the last 12
More details at… http://www.datasciencecentral.com/xn/detail/6448529:BlogPost:561994

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