In anthonypileggi/gradeR: Grade assignments using R workspace equivalence

knitr::opts_chunk$set(collapse = TRUE,
                      comment = "#>",
                      fig.path = "README-")

Installation

devtools::install_github(repo = "anthonypileggi/gradeR")

Introduction

The gradeR package was originally designed for teachers that are incorporating Swirl in their lesson plans and want an easy way to track student progress. Functionally, it is a simple tool that compares two workspaces.

Workflow: Grading Swirl Assignments

Create an Answer Key

1. Create a new folder & move into it: dir.create("Lesson1"); setwd(file.path(getwd(), "Lesson1"))
2. Complete the desired Swirl lesson.
3. Create the answer key: gradeR::createKey("Lesson1") ("_KEY.Rdata" will be appended to the name)

Instructions for Students

1. Clear the current working directory: rm(list = ls())
2. Complete the Swirl lesson.
3. Save (& submit) your workspace: save.image("Lesson1_anthony.Rdata")

Grade the Assignments

1. Collect all student submissions (.Rdata) within the folder containing the answer key.
2. Set that folder as the current working directory: setwd(file.path(getwd(), "Lesson1"))
3. Identify the answer key: id_key <- grepl("_KEY", list.files())
4. Grade the assignments: gradeR::grade(list.files()[!id_key], list.files()[id_key])

anthonypileggi/gradeR documentation built on May 10, 2019, 12:17 p.m.