If you develop in 'R', like me, you may find yourself frequently selecting named data from  a data set, such as a data frame or matrix. 'R' supplies many ways to do this, but the syntax depends on the data type. So I wrote this package (named 'colr') with one ... [Read more...]

A new version of jsonlite package to CRAN. This is a maintenance release with enhancements and bug fixes. A summary of changes in v1.2 from the NEWS file: Add read_json and write_json convenience wrappers, #161 Update modp_numtoa from upstream, fixes a rounding issue in #148. Ensure asJSON.POSIXt does ... [Read more...]

R/Finance 2017: Applied Finance with RMay 19 and 20, 2017University of Illinois at ChicagoThe ninth annual R/Finance conference for applied finance using R will be held on May 19 and 20, 2017 in Chicago, IL, USA at the University of Illinois at Chicago.  The conference will cover topics including portfolio management, time series analysis, ... [Read more...]

Statistics + Beer = Comprehension - A goodness of fit test are a collection of statistical techniques used to summarize the differences between observed values and expected values. These tests can be used be used for hypothesis testing, testi... [Read more...]

Function to create an amortization fund table.We establish the precision with which we want to work options(digits = 7)we say we do not want to work in scientific notation  options(scipen = 999) We declare vectors to store the values of the different variablesI [Read more...]

A new minor release with version number 0.6.11 of the digest package is now on CRAN and in Debian. It is mostly a maintenance release. Sometime last spring we were asked to consider changing the license GPL-2 to GPL (__= 2). Having gotten agreement... [Read more...]

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Using a pair of databases we will do a brief and basic analysis of descriptive statistics using R.At the end of the article you can find the corresponding links to get both the script and the databases so that you can perform the exercise. Install and load the packages ... [Read more...]

I have been able to build RStudio server on my RaspberryPi 3. One change was crucial: I added a 16GB swap file on an external disk to my system (mounting the external drive and using dphys-swapfile – available in Raspbian) I used the current version of Raspbian (Jessie), updated all packages, and ... [Read more...]

It's been another great year for the R project and the R community. Let's look at some of the highlights from 2016. The R 3.3 major release brought some significant performance improvements to R, along with a spiffy new logo. There were also two updates in 2016: R 3.3.1 and R 3.3.2. (The R 3.2 series ... [Read more...]

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”.As this series of exercises comes to an end, the last part is going to be the development of a data product. Not everybody is able to code in R, so it ... [Read more...]

R has many powerful libraries to handle spatial data, and the things that R can do with maps can only grow. This exercise tries to demonstrate a few basic functionalities of R while dealing with shapefiles. A shapefile is a simple, nontopological format for storing the geometric location and attribute ... [Read more...]

Introduction R language can also be used for commercial applications. In this article, I will describe how R language can be used for a commercial application like Payroll. In this exercise let us assume that in a typical Indian Company, every employee gets two types of allowances called Dearness Allowance(... [Read more...]

In last week’s blog, I explained why you should Master R (even if it may eventually become obsolete). I wrote that article to address people who claim mastering R is a bit of a waste of time (because it will eventually become obsolete). But when I suggested that R ... [Read more...]

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Markdown (and Rmarkdown) are great ways to quickly develop material without worrying about the formatting. The documents can then be compiled using the knitr or rmarkdown packages to output formats such as HTML, latex, or even word. The main drawback o... [Read more...]

If you cache code chunks when using knitr to generate reproducible documents then you’ve likely had the issue arrise of needing to load the results of cached chunks into an active interactive R session. The functions lazyload_cache_dir and lazyload_... [Read more...]

In my last post, I went over how weighting and sampling methods can help to improve predictive performance in the case of imbalanced classes. I also included an applied example with a simulated dataset that used the area under the ROC curve (AUC) as th... [Read more...]

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