*Technically I think these are grawlixes, but this is a family blog anyway. Ever get so mad when you are working with data that you just want to scrawl out a long expletive in the middle of your coding? Ok, maybe it’s just me. I’m a mild-mannered guy ... [Read more...]

Introduction In this part of the primer we discuss creating and using custom .jar archives within our R scripts and packages, handling of Java exceptions from R and a quick look at performance comparison between the low and high-level interfaces provided by rJava. In the first part we talked about ... [Read more...]

Introduction In this part of the primer we discuss creating and using custom .jar archives within our R scripts and packages, handling of Java exceptions from R and a quick look at performance comparison between the low and high-level interfaces provided by rJava. In the first part we talked about ... [Read more...]

The first meeting of R users in Cuba, HavanaR! Club 2018, will take place from 29-10-2018 to 02-11-2018. The workshop is organized jointly by the Group of Probability and Statistics of Universidad de La Habana, the __eR-Biostat initiative, the Center... [Read more...]

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The first meeting of R users in Cuba, HavanaR! Club 2018, will take place from 29-10-2018 to 02-11-2018. The workshop is organized jointly by the Group of Probability and Statistics of Universidad de La Habana, the __eR-Biostat initiative, the Center... [Read more...]

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Connecting to databases is a critical piece of data anlaysis in R. In most analytic roles the data we consume is going to be found in databases. Of these some of the most common are SQL databases like MS SQL Server, PostgreSQL, and Oracle in addition to many others. In ... [Read more...]

Motivation For a variety of reasons I wanted a Linux server in the cloud with data science software on it. In no particular order: so I could access a reliable setup from anywhere with a web browser, including on networks without the software I need (which happens a lot in ... [Read more...]

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Problem How can I (quickly and intuitively) figure out how many NA’s are in my dataset and which columns they’re in? Context When I tried to run PCA (Principal Components Analysis) on some USGS fish sampling data, I noticed that I had a bunch of missing values. PCA ... [Read more...]

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There are over 12,700 R packages on CRAN. How to find the right one for you? The new package 'packagefinder' helps you search for packages on CRAN right from the R console. With 'packagefinder' you can search for multiple keywords in the name, tit... [Read more...]

Another quick riddle from the riddler: solve the equation EXMREEK + EHKREKK = ?K?H?X?E which involves every digit between 0 and 9. While the puzzle can be unravelled by considering first E and K, which must be equal to 6 and 3, a simple R code also leads to the conclusion isok [Read more...]

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Introduction: Working with data frames can be tricky at first. For example it seems to be very logical especially for a not really experienced R users to manage the rows […] [Read more...]

Here is the course link. Course Description Support Vector Machines in R will help students develop an understanding of the SVM model as a classifier and gain practical experience using R’s libsvm implementation from the e1071 package. Along the way, students will gain an intuitive understanding of important concepts, ... [Read more...]

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