# course-emiii-accompany

**Repository Path**: kevinhhp/course-emiii-accompany

## Basic Information

- **Project Name**: course-emiii-accompany
- **Description**: project accompany  for Phd course "Advanced Econometrics" at Northwest A&F University
- **Primary Language**: HTML
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-04-14
- **Last Updated**: 2025-04-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Readme


## 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.

> [!NOTE]
>
> ### 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.

> [!TIP]
>
> ### NEW IDE
>
> VS code is a new IDE, which is more popular. here are some useful IDEs
> based on VS code:
>
> - [Positron](https://positron.posit.co/). It is a new IDE developed by
>   Posit, the company behind RStudio.
>
> - [Cursor](https://www.cursor.com/). 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.qmd
    ├── README.rmarkdown
    ├── 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
    ├── _quarto.yml
    └── _site
        ├── index.html
        ├── IV-wage-mroz
        ├── menu
        ├── pic
        ├── README.qmd
        ├── scss
        ├── search.json
        └── 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.

<div class="code-with-filename">

**R/load-pkg-basic.R**

``` 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
```

</div>

> [!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()`