• Interlaced code, data (Raw) and text
• Repos on github
• in R: Rmarkdown (Rmd)

• Like “Google Drive” or “Dropbox” for code
• Change control (We can go back to any previous version)
• Code-based (ideally), but there are GUIs
• Each project is a repository

• Create account on github.com
• Generate to GitPat usethis::create_github_token()
• Store it with gitcreds::gitcreds_set()
• Check it with usethis::git_sitrep()
• Create repository on github

• We create a new project

• Git add: Add to the files to save
• Git commit: Save to local repository (My computer)
• Git push: Save to remote repository (In the cloud)
• Others like git merge, git pull, git clone, etc.

• Add a file to the repository
• When not to do it?
  • Limit of a file of 100 Mb (Git Ignore)
  • Repository limit of one Gb
  • There are opitons such as DVC and/or Piggyback

• With this you say I want to save my changes on my hard drive
• It is saved in your local repository (Your computer)

• Must be relevant (example, don’t put Final Version 3, now I got it!)
• If you make a mistake you can restore to any previous commit (if you know what it is)

• With this you upload your commit to the cloud (it is backed up)

git config --global user.name "derek-corcoran-barrios"
git config --global user.email "derek-corcoran-barrios@gmail.com"

• If you use windows install git
• If you use mac
• If you use linux

sudo apt-get update
sudo apt-get install git

1. A folder
   • Raw data (csv, xls, html, json)
   • Code and text (Rmd, Rpres, shiny)
   • Results (Manuscript, Web Page, App)

• So far we have used data (only for databases built into R)
• From today we will use read_csv (For csv, for other files there are other functions)

link

# Title

## subtitle

*cursive*

**bold**

[link](https://stackoverflow.com/users/3808018/derek-corcoran)

knitr::include_graphics("Chunk.png")

• echo = T o F show code
• message = T o F shows message of packages
• warning = T o F shows or does not show warning
• eval = T o F runs or does not run the code
• cache = T o F saves the result or not
• For more options check this link

Inline

• Code interlinked with text
• To update means, maximum, minimum
• p-values, statistical differences
• They can be vectors, and not tables.

You can test with the following code, link, copy it to an rmd file, install the pacman package and press knit and you could see something like this:

Terremotos

• kable part of knitr, table exactly as shown
• KableExtra improves it

data("msleep")
Tabla <- msleep %>%
    group_by(vore) %>%
    summarise_at("sleep_total", .funs = list(Mean = mean,
        SD = sd)) %>%
    arrange(desc(Mean))

kable(Tabla)

kable(Tabla, digits = 2)

kable(Tabla, digits = 2) %>%
    kable_styling(bootstrap_options = c("striped",
        "hover", "condensed"))

kable(Tabla, digits = 2) %>%
    kable_styling(bootstrap_options = c("striped",
        "hover", "condensed"), full_width = F)

msleep_long <- msleep %>%
    dplyr::select(name, vore, sleep_total, brainwt)

kable(msleep_long, digits = 2, caption = "Whole database") %>%
    kable_styling(bootstrap_options = c("striped",
        "hover", "condensed"), full_width = F) %>%
    scroll_box(width = "800px", height = "200px")