Requirements

Author

Kevin Hu(胡华平)

This project is served for project of “Econometrics III Accompany”, with which My students in my “Advanced Econometrics” class can do some programming exercises and make class examples reproducible.

I host the whole project’s website with Netlify (see https://emiii-accompany.netlify.app), and the source code is hosted on GitHub.

Step 1/3：Prepare Software

You need install two software (Both can download from https://posit.co/download/rstudio-desktop/):

R is an open source (FREE) programming language.
Rstudio (Also FREE) is an IDE (Integrated Development Environment) which will help you coding more efficiently.

Posit Cloud online project

You can also access the Posit online R project at https://posit.cloud/content/10273624.

You need subscribe to Posit Cloud to access the online project (recomend use your github account to subscribe).
The online project is host by Posit Cloud.
You can use the online project to do some programming exercises and make class examples reproducible.
ALL needed enviroment and packages have been pre-installed in the online project.

NEW IDE

VS code is a new IDE, which is more popular. here are some useful IDEs based on VS code:

Positron. It is a new IDE developed by Posit, the company behind RStudio.
Cursor. It is a new IDE that integrates AI into the IDE.

Step 2/3：Following Course Project

I create a course project of “Econometrics III Accompany”, with which students in my ” Advanced Econometrics” class can do some programming exercises and make class examples reproducible.

Note

This project is under building and will iterate regularly.
I create a project repository(https://github.com/huhuaping/course-emiii-accompany) and host it at https://github.com/ publicly.
For those students in china, you can also access the synchronous repository (https://gitee.com/kevinhhp/course-emiii-accompany).

There are two ways to get these project files into you PC/Laptop:

(Recommended) You can download the “.zip” file by click “Download” button after you click the URL show before.
Use tools like gitbash to clone or fork the whole project.

Finally, the project directory structure will be shows as bellow:

D:/github/course-emiii-accompany
├── course-emiii-accompany.Rproj
├── index.qmd
├── IV-wage-card
│   ├── card1995.dta
│   └── code-card-hansen.R
├── IV-wage-mroz
│   ├── code-mroz.R
│   ├── mroz-var-label.txt
│   ├── workingpaper.qmd
│   └── workingpaper_files
├── menu
│   ├── iv-wage-card.qmd
│   ├── iv-wage-mroz.qmd
│   ├── project-prepare.qmd
│   └── sem-wage-mroz.qmd
├── pic
│   └── logo
├── R
│   ├── helper-tidy-systemfit.R
│   └── load-pkg-basic.R
├── README.md
├── README.qmd
├── renv
│   ├── activate.R
│   ├── library
│   └── staging
├── renv.lock
├── scss
│   ├── styles.css
│   └── _variables.scss
├── sem-wage-mroz
│   └── code-sem-mroz.R
├── _freeze
│   ├── index
│   ├── IV-wage-mroz
│   ├── menu
│   └── site_libs
├── _publish.yml
├── _quarto.yml
└── _site
    ├── index.html
    ├── IV-wage-mroz
    ├── menu
    ├── pic
    ├── robots.txt
    ├── scss
    ├── search.json
    ├── sitemap.xml
    └── site_libs

Step 3/3：Install R packages

R is a function-based object-oriented programming language. When executing R code commands, various R packages are often used to achieve specific programming goals.

After you have downloaded the project file to your local computer (Step 2/3), you can open the project with Rstudio (Step 1/3), then open ‘R/load-pkg-basic.R’(see below) to see the relevant R packages needed for this project and install them.

R/load-pkg-basic.R

# load necessary R  packages

# system
library(rmarkdown)
library(renv)       # package management
library(yaml)       # quarto project
library(fs)         # file system management
library(here)       # relative path

# basic pkgs
library(tidyverse)  # most useful
library(magrittr)   # pipe %>%
library(knitr)      # R render engine

# read file
library(openxlsx)  # for excel file
library(foreign)   # for stata file

# viz
library(ggplot2)       # graph
library(DT)            # DT table
library(scales)        # tidy numbers
library(webshot2)      # snapshot
library(htmlwidgets)   # interactivity
#library(fontawesome)

# github repo
#renv::install("KWB-R/kwb.utils")
#renv::install("huhuaping/xmerit")  # developed by `Huhuaping`
#library(xmerit)                    # export Latex equation

Tip

To put it simply, R packages come from a few main sources:

The base package by the R core team
R packages developed by the R community (widely published on github and other hosting platforms)
Other source of R packages

How to install these R packages?

Solution 1 (Not recommend): use install.packages("foo") to install all packages one by one.

Solution 2 (Strongly recommend) : use renv package management tool chain!

Open the course project with Rstudio (double click course-emiii-accompany.Rproj). Then you can write and run R command in panel Console below the software window.
First, write and run R command install.packages("renv")
Then, write and run R command library(renv)
Finally, write and run R command renv::active() and renv::restore()