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wisselstroom

Lifecycle: experimental

Each Higher Educational Institute (HEI) in the Netherlands can request its institute-specific files named “Bekostigingsbestanden”. The functions in this package extract information from these files related to switching and continuing studies. It facilitates the HEIs gain insight in the prevalence of switching and/or continuing studies. Flows can be visualised by a Sankey diagram.

Installation

You can install the development version of wisselstroom from GitHub with:

# install.packages("devtools")
devtools::install_github("ed2c/wisselstroom")

If you want to have the vignettes as well:

devtools::install_github("ed2c/wisselstroom", dependencies = TRUE, build_vignettes = TRUE)

Example

Read in your VLPBEK bekostigingsbestand file with read_bek_data():

path_to_file <- here::here("extdata", "VLPBEK_2025_20240115_99XX.csv")
my_vlpbek_data <- read_bek_data(path_to_file)

This results in one large data set. Hidden in that data set are different sub data sets, which contain information about enrolment and degrees.

To ease the access to this information, make a flow_basics object with the function make_flow_basics():

my_flow_basics <- make_flow_basics(my_vlpbek_data)

Gain insights by using the make_flow_insights() function. The resulting object contains summary information related to switching HEIs and/or programs, which can be plotted using for instance plot_brinflows():

my_flow_insights <- make_flow_insights(my_flow_basics)
plot_brinflows(my_flow_insights, display_labels = TRUE)

Vignettes

Read the introduction vignette with more background information:

vignette("wisselstroom", package = "wisselstroom")

Browse the vignettes:

browseVignettes("wisselstroom")

Citation

citation("wisselstroom")
#> To cite package 'wisselstroom' in publications use:
#> 
#>   Jansen M (2024). _wisselstroom, an R package to obtain insight in
#>   patterns of study programme switch_.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {{wisselstroom}, an R package to obtain insight in patterns of study programme switch},
#>     author = {Martine Jansen},
#>     publisher = {Center for Educational Data Analytics (CEDA), NPuls},
#>     year = {2024},
#>   }

Acknowledgements

  • Thank you Npuls and Fontys University of Applied Sciences for providing the opportunity to develop this package
  • Thank you co-workers from Fontys University of Applied Sciences for your interesting questions regarding switch
  • Thank you Corneel, Bram, Tomer, Amir, Tony and Damiette for your valuable input
  • The code for the Sankey diagram is adapted from code found end of may 2024 at https://github.com/ssp3nc3r/ggSankeyGrad

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use the bekostigingsbestanden to gain insight in switching studies

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