The goal of gradeR is to help grade bunches of R script assignment
submissions. This package has two primary functions called
calcGrades() and calcGradesForGradescope, and much of the testing
functionality is taken from the testthat package.
You can install the released version of gradeR from
CRAN with:
install.packages("gradeR")You can install the development version of gradeR with:
# install.packages("devtools")
devtools::install_github("tbrown122387/gradeR")This is a basic overview which shows you how to grade a bunch of assignment submissions. Make sure to change the paths to ones that actually exist on your machine. For more details on this example, see the vignette.
# load in the package
library(gradeR)
# this is the directory with all of the student submissions
submissionDir <- "../submissions/"
# get the grades
grades <- calcGrades(submission_dir = submissionDir,
your_test_file = "~/your/path/assignment1_test_file.r")The directory of the first argument will be walked recursively, and any
file ending in a .R or .r will be sourced and tested using the
tests in the assignment1_grading_file.r.
The file with the tests is specified in the second argument. This is a
file you must create on your own. For more information on how to write
testthat tests, see
this.
It might be beneficial to recommend that your students:
- clear out their workspace and
sourcetheir.Rsubmissions before submitting them. This makes sure everything runs as expected (at least on their machine). - to not rename files that are read in as data, or change any raw data files on their hard drives. If they forget to abide by this rule, you will have to edit their submission and rename file names in their script.
- to not use global file paths (have them interactively use
setwd(), and then read in files using only their name). If they forget to do this, then you will need to change all of the global paths to local paths on their machine.
Please see CONTRIBUTING.md for more information on how you can
contribute to this project!