This logbook will contain the main points I learnt and found useful in this MOOC,
This logbook will contain the main points I learnt and found useful in this MOOC,
as well as some usefull references and resources.
as well as some usefull references and resources.
## Module 1
## Module 1: note books and lab books
### 20.03.20 - 24.03.20
### 20.03.20 - 24.03.20
...
@@ -27,3 +27,23 @@ Things I would like to figure out:
...
@@ -27,3 +27,23 @@ Things I would like to figure out:
* what is this "No wrap"/"Soft wrap" button? *It just does automatic cut of the lines si everything can fit on the screen*
* what is this "No wrap"/"Soft wrap" button? *It just does automatic cut of the lines si everything can fit on the screen*
**There is an obvious lack of structure in this section!**
**There is an obvious lack of structure in this section!**
## Module 2: computational documents
### 25.03.20
What is needed for a study to be reproducible?
* The data should and the way they were collected should be available
* Each choice made in the methodology should be explained justified : all this should be ketp in the lab book
Le clique boutton, les tableurs et les logiciels propriétaires c'est pas top!
**Be organized, and store your data, randomize your experimental design, use text format, use free software!**
It sunny and I just realised that I can ear the church bell from my garden. Ah yeah, btw... COVID-19
#### Rstudio tutorial
I choose to follow the Rstudio tutorial even if I already know how to produce Rmarkdown files, but it would be cool to try later OrgMode, so that I could use Emacs to do eveything (while fore now I am only using it to produce Latex documents).
Something I didn't know: when you use another langage than R (for example when I use some pieces of bash/python for OBITOOLS pipelines), the variables generated in a chunck are not kept in memory and cannot be used from one chunk to another (which is the case for R code).