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mintprep

This is a package for the Swiss MINT Study. It helps in scoring and combining data from the students

Installation

library(devtools)
devtools::install_github("Christian-T/mintprep", force = TRUE)
library(mintprep3)

A typical workflow

  1. Read in your test data via name_of_data <- read.csv(path_to_file, sep = "\t")
  2. Calculate scores via calculate_mintscore(name_of_data) for Bridges, Airpressure, and Sound. Calculate scores via calculate_icu(name_of_data) for Floating and Sinking
  3. Use the function calculate_sumscore(name_of_data, name_of_solutionfile) to calculate scores for other tests such as CVS
  4. Read in student sensitive data
  5. Combine files via sens <- selection_binder(LL_pr_v2, "_ll_pr2", sens) for all files you want to merge.

Use pip <- child_test_mapping(filepath, sens)to create a data frame that shows which student did which test when and at which school. Use pip2 <- count_tests(pip) to extract just the info which student did which test.

##Citation

To cite package mintprep in publications use:

Thurn, C. M. (2024). Package "mintprep". Availabe at https://github.com/Christian-T/mintprep