r

Debugging only when needed

One of the worst thing I experienced is having a bug in a nested call of functions. If it is not simple the problems comes to isolate when and why does it occur.

Fast correlations

Correlations One of the few methods that are commonly done are correlations. I found several implementations of Pearson correlations, and I was curious to know if which is the fastest one.

Christmas tree

So it is Christmas and I want a tree. I found this new package experimental ggfx and I thought it would be nice to use it for the lights.

Models

Introduction I have learned a lot about linear models through carefully reading limma’s vignette. However from time to time I find that I cannnot do the model of the effects as I wish to compare the samples as I need.

PII fines

From some time I’ve been following a company that uses data to explain some data. I want to use some of the data they published from Civio to see if I learn more about personal identifiable information fines.

Barrios ricos y pobres

Me sorprendió la información sobre los barrios y la correlación que apareció en una notícia. Así que aquí rehago los graficos a partir de los datos descargados de la notícia:

Consumption of gasoline by our car

Analysis of the consumption of a family car over 4 years of refills

Twitter bot

I was talking with a friend about social networks when he mentioned that it wasn’t worth his time to invest on podcasts. He said that I looked up his twitter account, that that’s more useful for him.

Tidy data and tidyverse

I am surprised how often two things get conflated in around the tidyverse. The tidy data principles is about having in each row a data point, where each variable has its own column.

NSE in base R

After some discussions on the internet (and some breaks I got in a pipe using tidyr) I’ll decided to try to emulate dplyr and other tidyr functions with base functions.