Author: R-Bloggers

(This article was first published on DataScience+, and kindly contributed to R-bloggers) Before we build stats/machine learning models, it is a good practice to understand which predictors are significant and have an impact on the response variable. In this post we deal with a particular case when both your response and predictor are categorical variables. By the end of this you’d have gained an understanding of what predictive modelling is and what the significance and purpose of chi-square statistic is. We will go through a hypothetical case study to understand the math behind it. We will actually implement a chi-squared ... Read More

(This article was first published on R – biologyforfun, and kindly contributed to R-bloggers) In 2001 the book by Stephen Hubbell on the neutral theory of biodiversity was a major shift from classical community ecology. Before this book the niche-assembly framework was dominating the study of community dynamics. Very briefly under this framework local species composition is the result of the resource available at a particular site and species presence or absence depends on species niche (as defined in Chase 2003). As a result community assembly was seen as a deterministic process and a specific set of species should emerge ... Read More

(This article was first published on R – TomazTsql, and kindly contributed to R-bloggers) I have seen several time, that execute R code using procedure sp_execute_external_script was not valid due to missing library or library dependencies. Problem is – in general – not solved out of the box. But can be solved using and maintaining a list of installed libraries used by Microsoft R services or by simply create a “pre-code” R code to do a check for you. In both cases, user will end up with additional code, but it might be a good check if you are installing ... Read More

(This article was first published on Revolutions, and kindly contributed to R-bloggers) 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 CRAN between May 1st and August 8th that, in one way or another, provide access to publicly available data. bigQueryR: Provides an interface to Google's BigQuery. The vignette shows how to use it. blscrapeR: Provides an API ... Read More