Differential effects of knapping skill acquisition on the cultural reproduction of Late Acheulean handaxe morphology: Archaeological and experimental insights, Journal of Archaeological Science: Reports (Accepted).
Please open the Rproj file instead of the Rcode directly to make sure relative paths work!
The repository is organised into four main directories: code, data, figure, and manuscript.
Boxgrove_Iovita.R
... This is the R script generating the main results and figures of this paper, including the compilation of Boxgrove morphonetric data and the comparative analysis of Boxgrove and experimental data.
Boxgrove_Iovita
... This folder includes two subfolder. SubfolderSillhouettes
contains sillhouettes of the Boxgrove handaxe assemblage generated through Adobe Photoshop. SubfolderMeasurements
contains morphometric measurements of sillhouettes generated through ImageJ.Experiment
... This folder includes data of experimental handaxe collections.Table1.csv
... This csv file is the output file for Table 1 in the manuscript.
Fig1.jpg
... This is Fig.1 in the manuscript.Fig2.png
... This is Fig.2 in the manuscript.Fig3.png
... This is Fig.3 in the manuscript.Fig4.png
... This is Fig.4 in the manuscript.Fig5.png
... This is Fig.5 in the manuscript.Fig6.png
... This is Fig.6 in the manuscript.Fig7.png
... This is Fig.7 in the manuscript.Fig8.png
... This is Fig.8 in the manuscript.Fig9.jpg
... This is Fig.9 in the manuscript.HPC1.png
... This is generated through Microsoft PowerPoint and integrated in Fig.4.HPC2.png
... This is generated through Microsoft PowerPoint and integrated in Fig.4.LPC1.png
... This is generated through Microsoft PowerPoint and integrated in Fig.4.LPC2.png
... This is generated through Microsoft PowerPoint and integrated in Fig.4.
apa.csl
... This is the APA citation styleguide.bibliography.bib
... This is the reference file.manuscript.pdf
... This is the pdf file of the manuscript.manuscript.Rmd
... This is the RMarkdown file of the manuscript.
The code has been successfully executed on on CL's PC with the following R settings.
- CL's R setting
R version 4.1.1 (2021-08-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19043)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] Rcpp_1.0.7 svglite_2.0.0 here_1.0.1
[4] mvtnorm_1.1-2 lattice_0.20-44 zoo_1.8-9
[7] assertthat_0.2.1 zeallot_0.1.0 rprojroot_2.0.2
[10] digest_0.6.27 utf8_1.2.2 correlation_0.8.0
[13] R6_2.5.1 plyr_1.8.6 evaluate_0.14
[16] coda_0.19-4 httr_1.4.2 ggplot2_3.3.5
[19] pillar_1.8.0 rlang_1.0.4 multcomp_1.4-17
[22] performance_0.9.0 rstudioapi_0.13 Matrix_1.3-4
[25] rmarkdown_2.10 splines_4.1.1 webshot_0.5.2
[28] stringr_1.4.0 munsell_0.5.0 compiler_4.1.1
[31] xfun_0.25 pkgconfig_2.0.3 systemfonts_1.0.2
[34] parameters_0.17.0 ggstatsplot_0.9.1 WRS2_1.1-3
[37] htmltools_0.5.1.1 insight_0.17.0 tidyselect_1.1.1
[40] tibble_3.1.3 bookdown_0.23 codetools_0.2-18
[43] reshape_0.8.8 fansi_0.5.0 viridisLite_0.4.0
[46] dplyr_1.0.7 MASS_7.3-54 mc2d_0.1-21
[49] grid_4.1.1 xtable_1.8-4 gtable_0.3.0
[52] lifecycle_1.0.1 DBI_1.1.1 magrittr_2.0.1
[55] bayestestR_0.11.5 statsExpressions_1.3.1 scales_1.2.0
[58] datawizard_0.4.0 estimability_1.3 cli_3.0.1
[61] stringi_1.7.3 paletteer_1.4.0 xml2_1.3.2
[64] ellipsis_0.3.2 generics_0.1.0 vctrs_0.3.8
[67] sandwich_3.0-1 TH.data_1.0-10 kableExtra_1.3.4
[70] rematch2_2.1.2 tools_4.1.1 glue_1.4.2
[73] purrr_0.3.4 emmeans_1.6.2-1 yaml_2.2.1
[76] survival_3.2-11 colorspace_2.0-2 rvest_1.0.1
[79] knitr_1.33 patchwork_1.1.1
Please contact [email protected] if you have any questions related to the code or data.