https://github.com/edoardocostantini/fireworks
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.8%) to scientific vocabulary
Last synced: 5 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: EdoardoCostantini
- Language: R
- Default Branch: master
- Size: 2.72 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 4 years ago
· Last pushed about 3 years ago
https://github.com/EdoardoCostantini/fireworks/blob/master/
[](https://doi.org/10.5281/zenodo.7529333) # Project description Repository hosting a comparison benchmark set up for the fireworks disaster data. # How to replicate results To replicate the study, you first need to make sure you have installed all the pacakges used. You can use the `./input/prep_machine.R` script to install them. In the following guide, it is assumed that the machine on which the simulation is run already has all packages installed. - Open the initialization script `init.R` and check that: - you have all the required packages installed; - the fixed parameters and experimental factor levels are set to the desired values. - Open the script `pc_run_simulation.R` - Define the number of desired repetitions by changing the parameter `reps` - Define the number of clusters for parallelization by changing the parameter `clusters` - Run the script `pc_run_simulation.R` - Run the script `pc_run_readRes.R` to unzip the results and create a single .rds file - Finally, run the script `pc_run_plots.R` to obtain the plots. # Repository structure Here is the project structure: ``` code functions impProcess.R imputePCAall.R imputePCAaux.R readTarGz.R writeTarGz.R subroutines runCell.R runRep.R compare.R fdd.R init.R pc_run_plots.R pc_run_readRes.R pc_run_simulation.R prep.R input mice.pcr.sim_3.13.9.tar.gz mice_3.13.18.tar.gz output 20211220_144954.tar.gz 20211220_144954_res.rds .Rprofile .gitignore README.md ``` Here is a brief description of the folders: - `code`: the main software to run the study - `checks` folder contains some script to check a few details of the procedure are producing the expected results - `experiments` folder contains some initial trial scripts - `functions` folder with the main project specific functions - `helper` folder with functions to address file management and other small internal tasks - `plots` folder containing some plotting scripts and pdfs - `subroutines` folder with the generic functions to run the simulation study - `input` folder where all the input files (e.g., data) should be stored - `output` folder where the results of the simulation study will be stored - `test` folder containing unit testing files
Owner
- Name: Edo
- Login: EdoardoCostantini
- Kind: user
- Location: Tilburg, Netherlands
- Company: Tilburg University
- Website: https://edoardocostantini.github.io
- Repositories: 9
- Profile: https://github.com/EdoardoCostantini
Sociologist turned statistician, missed developer, born interior designer but never got there
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