README.md

Folder with script and data for paper "A partial prehistory of the Southwest Silk Road: Archaeometallurgical data from the sub-Himalayan corridor."

List of files and folders:

• data/
  • data/DATA isotopie_Pryce_V13092022.csv Frozen verison used in scriptMeetingWednesday16.Rmd
  • data/DATA isotopie_Pryce_V4.2.1.csv Last version of the dataset
  • data/*.RDS RDS of the object as used for final publication
  • data/RG_table_s1.csv table with elemental compition from Radivojević & Grujić (2017)
  • data/RG_table_s2.csv table with communities found in Radivojević & Grujić (2017)
• SSRgeoloc/ kmz file with single coordinates collected by OP
• maps/ multiple useful shapefiles used for visualisation and analysis
  • maps/allsea.shp big shapefile.
  • maps/allseaborder_lowq.shp lower quality general shapefile.
  • maps/riverbasin_sitelimited.shp river basin where sites falls in.
• vignettes/ R vignettes that describe series of analysis and tool
  • vignettes/reproduceRG2017.Rmd a vignette that reproduce some of the analysis done in Radivojević & Grujić (2017)
  • vignettes/exploreSEALIPelementalNetwork.Rmd a vignette reproduce the analysis of Radivojević & Grujić (2017) using SEALIP data
  • vignettes/recreateNetworkSSR.Rmd this is the main vignette used throughout the paper
• scripts/ small script that concatenate various R functions to quickly generate useful tools/outputs
  • scripts/shapefileope.Rmd a script that was used to create the shapefiles avalable in maps/
  • scripts/paperFigure.R a script to generate high quality figures used for the paper
  • scripts/cleanDataset.R a script to clean the csv and generate labels automatically
• R/ set of R-methods and functions used to run the analysis

To render a vignette with R in your command line ; from the root folder of this reporitory

Rscript  -e  "rmarkdown::render('doc/reproduceRG2017.Rmd',knit_root_dir='..')"

if you wanter to render them all:

for v in vignettes/*.Rmd; 
do
    Rscript  -e  "rmarkdown::render('$v',knit_root_dir='..')"
done