I have been asked to access and present some of our own internal data, stored on a CRM system called Salesforce. Luckily for me someone had already written a set of R bindings for it (phew). As always thank a million to the authors of RForcecom, detail... [Read more...]

The twitteR library is one of the most comprehensive R bindings for an API that I have ever seen. Thanks a million to Jeff Gentry for authoring and maintaining it. It took me a while to get to know it and I thought I’d share a little trick here. ... [Read more...]

I have been asked to access and present some of our own internal data, stored on a CRM system called Salesforce. Luckily for me someone had already written a set of R bindings for it (phew). As always thank a million to the authors of RForcecom, details of which can ... [Read more...]

The twitteR library is one of the most comprehensive R bindings for an API that I have ever seen. Thanks a million to Jeff Gentry for authoring and maintaining it. It took me a while to get to know it and I thought I'd share a little trick here. I ... [Read more...]

In the world of big data and real-time analytics, Microsoft users are still living with the constraints of the bygone days of little data and basic numeracy.If you happen to use Microsoft Excel for running Regressions, you will soon realize your limits:  The Windows version of Excel 2013 permits no ... [Read more...]

In the world of big data and real-time analytics, Microsoft users are still living with the constraints of the bygone days of little data and basic numeracy.If you happen to use Microsoft Excel for running Regressions, you will soon realize your limits:  The Windows version of Excel 2013 permits no ... [Read more...]

Machine Learning models generally outperform standard regression models in terms of predictive performance. However, these models tend to be poor in explaining how they achieve a particular result. This post will discuss three methods used to peak insi... [Read more...]

When modeling severity measurements in the operational loss with Generalized Linear Models, we might have a couple choices based on different distributional assumptions, including Gamma, Inverse Gaussian, and Lognormal. However, based on my observations from the empirical work, the differences in parameter estimates among these three popular candidates are rather ... [Read more...]

I am pleased to announce that my Introductory Fisheries Analyses with R (IFAR) book has been published, almost two weeks ahead of schedule. Details about the book (and companion website) are here and it can be purchased from CRC Press (at a ... [Read more...]

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After I published an article on how to scrape advanced shooting data from stat.nba.com, a friend of mine contact me to see whether I may be able to scrape some data from zipcar or car2go’s API. So I looked into it and found it is quite ... [Read more...]

Ever since NBA introduced advanced data to track player on-court movement, there have been a lot of interesting blogs/news articles to show how data could improve the understanding (or destroy your intuition) of the game. Reading them is a lot of fun. Here is one example. The newly introduce ... [Read more...]

Earlier this week, Andrie showed you how to set up and provision your own virtual machine (VM) to run R and RStudio in Azure. Another option is to use the new Microsoft Data Science Virtual Machine, a pre-configured instance that includes a suite of tools useful to data scientists, including: ... [Read more...]

You can find the app on iTunes and Google Play. It's a game of trivial pursuits - here's the logo, now tell me the brand. Each item is scored as right or wrong, and the players must take it all very seriously for there is a Facebook page with cheat ... [Read more...]

You can find the app on iTunes and Google Play. It's a game of trivial pursuits - here's the logo, now tell me the brand. Each item is scored as right or wrong, and the players must take it all very seriously for there is a Facebook page with cheat ... [Read more...]

I got often asked (i.e. more than two times) by colleagues if they should plot/use the standard deviation or the standard error, here is a small post trying to clarify the meaning of these two metrics and when to use them with some R code example. Standard deviation ... [Read more...]

It's not a shame to put a note on something (probably) everyone knows and you thought you know but actually you are not 100% sure. Multiple testing is such a piece in my knowledge map.Some terms first:- Type I error (false positive) and Type II error (false negative): When ... [Read more...]

It's not a shame to put a note on something (probably) everyone knows and you thought you know but actually you are not 100% sure. Multiple testing is such a piece in my knowledge map.Some terms first:- Type I error (false positive) and Type II error (false negative): When ... [Read more...]

BackgroundThis tutorial shows an example of RNA-seq data analysis with DESeq2, followed by KEGG pathway analysis using GAGE. Using data from GSE37704, with processed data available on Figshare DOI: 10.6084/m9.figshare.1601975. This dataset has six samp... [Read more...]