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A site that host all my R programming (and other stuff beyond R) notes that I usually kept in a drawer.

Home Page: https://ronnyhdez.github.io/drawer/

License: Creative Commons Zero v1.0 Universal

drawer's Introduction

Drawer

A place to keep all my fast-taken notes about R, python, bash and other dev stuff.

Objective

Things here are just notes. These are not blogposts.

Notes here are mean to be raw unedited notes that I usually take quickly while working solving things related to programming.

If there is material for a blogpost, I can use the information to create and edit a new document in this repo

Workflows

There are two workflows: from RStudio and using .Rmd files or usin nvim.

From RStudio and .Rmd

Include the Rmd or md file
Load docmaker package (The package is in this repository)
To render all documents and publish in just one step: make_all_docs(T)

With nvim and .md files

Open terminal and type d (alias to move to drawer repo)
Type w and the name of the file to be written. (If it's new, remember to include the .md)
If there is a md file at the moment I need to copy this one to docs/
Run mkb (alias for mkdocs build --config-file=mkdocs.yml)
When done with the changes, run ghd (alias for mkdocs gh-deploy --strict --force)

Things to remember

If its something fast, open terminal and type dw. It will move to drawer repo and open a new file.

References

Matherial theme
Favicon by Freepick Brain icons created by Freepik - Flaticon

drawer's People

Contributors

Stargazers

Watchers

drawer's Issues

Series on how to use git for researchers

So, you are new to git and want to incorporate this tool in your workflow. If you are here probably you already now that git can give you ..

Start a series of post giving some advice on using git and github for researcher who are starting to work with this tools.

Given that I have seen things like:

Downloading repo and making a new one instead of forking the repo. Downside is that this does not respect the history and contributions.
Using branches and issues
using the github workflow
the use of the .gitignore file
Files to avoid including in the version control
Manage a collaborative project

Notes about js

Notes on principal keybindins for nvim and qmd

document ggplot function and map to iterate columns

# plot_points_time <- function(variable) {
#   sr_fluxes %>% 
#     ggplot(aes(x = date, y = {{variable}}, color = tower)) +
#     geom_jitter(alpha = 0.6, size = 1.8) +
#     scale_color_manual(values = c("kaku" = "#FF3A1D", "principe" = "#75AADB")) +
#     scale_x_date(date_labels = "%b%Y", breaks = "months") +
#     theme_linedraw(base_size = 12) +
#     theme(axis.text.x = element_text(angle = 70, h = 1)) +
#     labs(x = "Date",
#          color = "Tower")
# }
# 
# sr_fluxes %>% 
#   select(-date, -time, -tower) %>% 
#   map(~plot_points_time(.))

Create repo structure, insert files, try and test workflow function, document on index file

Yeap, not a good issue.

Notes on docker with mounted volumes

Include all R notes in just one file

Crear sección sobre silver searcher

ag para buscar en la terminal

silver search

ag dplyr --r : solamente en archivos R

ag dplyr -B4 -r : para que muestre las 4 lineas antes de que encuentre la palabra dplyr

notes on using nerdtree

Try the toggle button for mkdocs

https://squidfunk.github.io/mkdocs-material/setup/changing-the-colors/#accent-color

Copy and paste all notes kept in the drawer

Import notes on setting environments for python

Take the notes on the red notebook to a md file with the steps describing the workflow to set up an environment and working with spyder or jupyter (I always get stuck on this)

notes about refactoring code to have DRY

How can I make this code with less typing:

bor <- borden_daily_500 %>% 
  select(ends_with(c("_mean")),
         gpp_dt_vut_ref, total_obs) %>% 
  mutate(site = "borden")

bar <- bartlett_daily_500 %>% 
  select(ends_with(c("_mean")),
         gpp_dt_vut_ref, total_obs) %>% 
  mutate(site = "bartlett")

mich <- michigan_daily_500 %>% 
  select(ends_with(c("_mean")),
         gpp_dt_vut_ref, total_obs) %>% 
  mutate(site = "michigan")