Published: 2016-11-30 Updated: 2017-03-23 "Any bleeder knows that books are never finished, only abandoned." Why Information Grows About the book You can find the book here. This is a book that may look complete but changes in R package are al...

In the first part of this entry I did show some mtcars examples, where am can be useful to explain ANOVA as its observations are defined as: $$ am_i = \begin{cases}1 &\text{ if car } i \text{ is manual} \cr 0 &\text{ if car } i \text{ is automatic}\end{cases} $$ Now I'll show another example to continue the last example from Part 1...

In the first part of this entry I did show some mtcars examples, where am can be useful to explain ANOVA as its observations are defined as: $$ am_i = \begin{cases}1 &\text{ if car } i \text{ is manual} \cr 0 &\text{ if car } i \text{ is automatic}\end{cases} $$ Now I'll show another example to continue the last example from Part 1...

Linear Regression and ANOVA concepts are understood as separate concepts most of the times. The truth is they are extremely related to each other being ANOVA a particular case of Linear Regression. Even worse, its quite common that students do memorize equations and tests instead of trying to understand Linear Algebra and Statistics concepts that can keep you away...

Linear Regression and ANOVA concepts are understood as separate concepts most of the times. The truth is they are extremely related to each other being ANOVA a particular case of Linear Regression. Even worse, its quite common that students do memorize equations and tests instead of trying to understand Linear Algebra and Statistics concepts that can keep you away...

Linear Regression and ANOVA concepts are understood as separate concepts most of the times. The truth is they are extremely related to each other being ANOVA a particular case of Linear Regression. Even worse, its quite common that students do memorize equations and tests instead of trying to understand Linear Algebra and Statistics concepts that can keep you away...

On January, 10 2016 David Bowie left this earthly realm. Last month I decided to create a network and here is how to do that. Required packages You need jsonlite, igraph, network, plyr and R base. Other tools D3Plus by Alex Simoes and Dave Landry. Also Google Sheets. My data is here. Loading packages # 1: define the libraries to use libraries

Update Jan 17, 2017： Ruilong Xu （徐瑞龙） warned me that 商務處智利中國 is 商务处智利中国 in traditional characters. Thanks for the correction，Ruilong！ I still don't have 2016's official trade numbers，sorry。I also moved to an open typography to write in simplified chinese and I added some ggplot2 v2.2 new features。 Before we start My chinese skills are poor and biased. I did learn during...

Brief explanation This is the second part in a series on three articles about Structural Equation Modelling (SEM). This time I am glad to announce Jodie Burchell as a co-writer! In Structural Equation Modelling in R (Part 1) I explained the basics of CFA. SEM was explained as a general case of CFA that was going be explained later, so here...

e-mails with the latest R posts.

(You will not see this message again.)