New policy in CRAN With the new policy of a maximum of 20 packages in Imports. Let’s see how many dependencies has each package on CRAN and Bioconductor:
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.
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.
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.
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.
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.
Evolucion de los incendios forestales en México I saw a map on twitter and I wanted to see if I could change a bit and improve it:
I wanted to make so that the fires change the size with time to appear and disappear instead of moving around Mexico.
In this blogpost I will try to experiment how to simulate the conditions for ending a PhD program and obtaining the doctorate, from the school.
I will base this simulation on three principles: