Puerto Rico Statistics Institute (Instituto de Estadísticas de Puerto Rico) has a nice introductory manual on R, written by Dr. Orville M. Disdier. Check it out at
or get access by visiting
BTW, there is a new version of the site which at the time of writing is still in beta at
The Azure miner is available now at
It can help you to find Microsoft Azure public resources, news, and more. Recrawling search result pages allows you to build your own curated collection. Be productive with the Azure miner.
In addition, the news section includes relevant search, blog, and community channels.
Happy Azure day! 🙂
We have two new Minerazzi miners, AWS and AI, available now at
Use this miner to easily find Amazon Web Services public resources, news, and more.
Use this miner to quickly find artificial intelligence resources, tutorials, news, and more.
On a side note, here is a little challenge for you. Can you decipher the following string?
iii teen cell fractal gini
The solution is quite obvious.
This is Part 2 of a tutorial series on the nonadditivity of correlation coefficients. This time we discuss Fisher r-to-Z and Z-to-r transformations and the risks of arbitrarily implementing these.
Misusing the transformations can have a detrimental impact on significance testing, confidence intervals, reported standard errors of correlations, and meta-analysis.
The tutorial is available at
This is a new Minerazzi tool available now at
The tool does simple linear regression and correlation analyses, computing Spearman and Pearson correlation coefficients and other relevant statistics.
The companion default example was intentionally selected to illustrate that for rank data free from ties, Spearman and Pearson correlation coefficients are the same thing.
This is Part 1 of a tutorial series on the nonadditivity of correlation coefficients. We demonstrate why it is not possible to arithmetically add, subtract, and average Pearson’s r or Spearman’s rs.
The article is available at
07-04-2017 update: In page 1 the line for the Beta1 should read “is the slope of a simple linear regression model”. My fault. Fixed today along with few other nuances.