https://github.com/jaredlander/LearningR

Code to get started with a new RStudio project along with data
https://github.com/jaredlander/LearningR

Last synced: 9 days ago
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Code to get started with a new RStudio project along with data

• Host: GitHub
• URL: https://github.com/jaredlander/LearningR
• Owner: jaredlander
• License: agpl-3.0
• Created: 2018-03-16T01:53:27.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-04-26T04:23:58.000Z (over 6 years ago)
• Last Synced: 2024-08-13T07:12:54.848Z (4 months ago)
• Language: R
• Size: 16.6 KB
• Stars: 17
• Watchers: 7
• Forks: 32
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - jaredlander/LearningR - Code to get started with a new RStudio project along with data (R)

README

        
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

```{r settings,echo=FALSE, include=FALSE}

className <- 'LearningR'

```

# Live Training

This is an empty repo for to initialize an R project for training courses organized by [Lander Analytics](www.landeranalytics.com).

# Packages

To get started run the following code to install the latest version of the necessary packages.

```{r install.packages,eval=FALSE}

packages <- c('caret', 'coefplot','DBI', 'dbplyr', 'doParallel', 'foreach', 

              'ggthemes', 'glmnet', 'jsonlite', 'leaflet', 'odbc', 

              'recipes', 'rmarkdown', 'rprojroot', 'RSQLite', 'rvest', 

              'tidyverse', 'threejs', 'usethis', 'UsingR', 'xgboost', 'XML', 

              'xml2')

install.packages(packages)

```

# Project Structure

Making use of RStudio projects greatly improves the user experience. To facilitate this users should run the following code which will recreate this package on their computer. Be sure to select the positive prompts such as `yes`, `yeah`, etc.

```{r download-project,eval=FALSE}

newProject <- usethis::use_course('https://github.com/jaredlander/LearningR/archive/master.zip')

```

After that runs successfully you will have a new folder holding the R project that looks like this.

```{r proj-folder,echo=FALSE}

knitr::include_graphics('images/ProjectFolder.png')

```

If a new project did not open automatically, either double-click the file called `r sprintf('%s.Rproj', className)` or run the following line of code.

```{r open-project,eval=FALSE}

rstudioapi::openProject(newProject)

```

After running this code, or double-clicking that file, you will be in an RStudio Project called `r className`. You can see this in the top right of RStudio.

```{r proj-corner,echo=FALSE}

knitr::include_graphics('images/ProjectCorner.png')

```

## Clone this Repo

Alternatively, if you use git then please clone this repo then open it as an [RStudio Project](https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects).

```{sh eval=FALSE}

# if using SSH

git clone [email protected]:jaredlander/LearningR.git

# if using https

git clone https://github.com/jaredlander/LearningR.git

```

# Data

Data for the class is kept at [data.world](https://data.world/landeranalytics/training). You can sign up for a free account or run the following code. This requires that you are using an [RStudio Project](https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects) setup exactly like this repo, which is done if you followed the preceding code.

```{r source-data-file,eval=FALSE}

source('prep/DownloadData.r')

```