Pargeter, J., Liu, C., Beney Kilgore, M., Majoe, A., & Stout, D. (2022). Testing the effect of learning conditions and individual motor/cognitive differences on knapping skill acquisition. Journal of Archaeological Method and Theory.
The code has been successfully executed on JP's MAC and replicated on CL's PC with the following R settings.
- JP's R setting
R version 4.0.3 (2020-10-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggggeffects_0.0.1 permuco_1.1.0 caret_6.0-88 rcompanion_2.4.1 sjPlot_2.8.8 ggeffects_1.1.1 report_0.3.5 glmulti_1.0.8
[9] leaps_3.1 rJava_1.0-4 Hmisc_4.5-0 Formula_1.2-4 survival_3.2-7 lattice_0.20-41 psych_2.0.12 factoextra_1.0.7
[17] stringr_1.4.0 DescTools_0.99.41 dplyr_1.0.6 plyr_1.8.6 tidyr_1.1.3 reshape2_1.4.4 ggplot2_3.3.5 car_3.0-10
[25] carData_3.0-4
loaded via a namespace (and not attached):
[1] readxl_1.3.1 backports_1.2.1 splines_4.0.3 TH.data_1.0-10 digest_0.6.27 foreach_1.5.1 htmltools_0.5.1.1
[8] fansi_0.5.0 magrittr_2.0.1 checkmate_2.0.0 cluster_2.1.0 openxlsx_4.2.3 recipes_0.1.16 gower_0.2.2
[15] modelr_0.1.8 matrixStats_0.57.0 sandwich_3.0-1 jpeg_0.1-8.1 colorspace_2.0-2 ggrepel_0.9.1 haven_2.3.1
[22] xfun_0.23 crayon_1.4.1 libcoin_1.0-8 Exact_2.1 lme4_1.1-27 zoo_1.8-9 iterators_1.0.13
[29] glue_1.4.2 gtable_0.3.0 ipred_0.9-11 emmeans_1.6.1 sjstats_0.18.1 sjmisc_2.8.7 abind_1.4-5
[36] scales_1.1.1 mvtnorm_1.1-2 DBI_1.1.1 Rcpp_1.0.6 xtable_1.8-4 performance_0.7.2 htmlTable_2.2.1
[43] tmvnsim_1.0-2 foreign_0.8-80 proxy_0.4-25 lava_1.6.9 prodlim_2019.11.13 stats4_4.0.3 htmlwidgets_1.5.3
[50] RColorBrewer_1.1-2 ellipsis_0.3.2 modeltools_0.2-23 farver_2.1.0 pkgconfig_2.0.3 nnet_7.3-14 multcompView_0.1-8
[57] utf8_1.2.2 labeling_0.4.2 tidyselect_1.1.1 rlang_0.4.11 effectsize_0.4.5 munsell_0.5.0 cellranger_1.1.0
[64] tools_4.0.3 fortunes_1.5-4 generics_0.1.0 sjlabelled_1.1.8 broom_0.7.6 ModelMetrics_1.2.2.2 knitr_1.33
[71] zip_2.1.1 purrr_0.3.4 coin_1.4-1 rootSolve_1.8.2.1 nlme_3.1-149 compiler_4.0.3 rstudioapi_0.13
[78] curl_4.3.1 png_0.1-7 e1071_1.7-6 tibble_3.1.3 stringi_1.6.2 parameters_0.14.0.1 forcats_0.5.1
[85] Matrix_1.2-18 nloptr_1.2.2.2 permute_0.9-5 vctrs_0.3.8 pillar_1.6.2 lifecycle_1.0.0 lmtest_0.9-38
[92] estimability_1.3 data.table_1.14.0 insight_0.14.2 lmom_2.8 R6_2.5.0 latticeExtra_0.6-29 gridExtra_2.3
[99] rio_0.5.16 gld_2.6.2 codetools_0.2-16 boot_1.3-25 MASS_7.3-53 assertthat_0.2.1 withr_2.4.2
[106] nortest_1.0-4 mnormt_2.0.2 multcomp_1.4-17 bayestestR_0.10.5 expm_0.999-6 parallel_4.0.3 hms_1.0.0
[113] timeDate_3043.102 grid_4.0.3 rpart_4.1-15 coda_0.19-4 class_7.3-17 minqa_1.2.4 pROC_1.17.0.1
[120] lubridate_1.7.10 base64enc_0.1-3
- 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
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] permuco_1.1.0 caret_6.0-88 rcompanion_2.4.1 sjPlot_2.8.9
[5] ggeffects_1.1.1 report_0.3.5 glmulti_1.0.8 leaps_3.1
[9] rJava_1.0-4 Hmisc_4.5-0 Formula_1.2-4 survival_3.2-11
[13] lattice_0.20-44 psych_2.1.6 factoextra_1.0.7 stringr_1.4.0
[17] DescTools_0.99.42 dplyr_1.0.7 plyr_1.8.6 tidyr_1.1.3
[21] reshape2_1.4.4 ggplot2_3.3.5 car_3.0-11 carData_3.0-4
loaded via a namespace (and not attached):
[1] readxl_1.3.1 backports_1.2.1 systemfonts_1.0.2
[4] splines_4.1.1 TH.data_1.0-10 digest_0.6.27
[7] foreach_1.5.1 htmltools_0.5.1.1 fansi_0.5.0
[10] magrittr_2.0.1 checkmate_2.0.0 cluster_2.1.2
[13] openxlsx_4.2.4 recipes_0.1.16 modelr_0.1.8
[16] gower_0.2.2 matrixStats_0.60.0 svglite_2.0.0
[19] sandwich_3.0-1 jpeg_0.1-9 colorspace_2.0-2
[22] rvest_1.0.1 ggrepel_0.9.1 haven_2.4.3
[25] xfun_0.25 crayon_1.4.1 libcoin_1.0-8
[28] Exact_2.1 lme4_1.1-27.1 zoo_1.8-9
[31] iterators_1.0.13 glue_1.4.2 kableExtra_1.3.4
[34] gtable_0.3.0 ipred_0.9-11 emmeans_1.6.2-1
[37] webshot_0.5.2 sjstats_0.18.1 sjmisc_2.8.7
[40] abind_1.4-5 scales_1.1.1 mvtnorm_1.1-2
[43] DBI_1.1.1 rstatix_0.7.0 Rcpp_1.0.7
[46] viridisLite_0.4.0 xtable_1.8-4 performance_0.7.3
[49] htmlTable_2.2.1 tmvnsim_1.0-2 foreign_0.8-81
[52] proxy_0.4-26 lava_1.6.9 prodlim_2019.11.13
[55] stats4_4.1.1 httr_1.4.2 datawizard_0.1.0
[58] htmlwidgets_1.5.3 RColorBrewer_1.1-2 ellipsis_0.3.2
[61] modeltools_0.2-23 farver_2.1.0 pkgconfig_2.0.3
[64] nnet_7.3-16 multcompView_0.1-8 here_1.0.1
[67] utf8_1.2.2 labeling_0.4.2 tidyselect_1.1.1
[70] rlang_0.4.11 effectsize_0.4.5 munsell_0.5.0
[73] cellranger_1.1.0 tools_4.1.1 cli_3.0.1
[76] generics_0.1.0 sjlabelled_1.1.8 broom_0.7.9
[79] evaluate_0.14 goftest_1.2-2 yaml_2.2.1
[82] ModelMetrics_1.2.2.2 knitr_1.33 zip_2.2.0
[85] purrr_0.3.4 coin_1.4-1 rootSolve_1.8.2.2
[88] nlme_3.1-152 xml2_1.3.2 compiler_4.1.1
[91] rstudioapi_0.13 curl_4.3.2 png_0.1-7
[94] ggsignif_0.6.2 e1071_1.7-8 tibble_3.1.3
[97] stringi_1.7.3 parameters_0.14.0 forcats_0.5.1
[100] olsrr_0.5.3 Matrix_1.3-4 nloptr_1.2.2.2
[103] permute_0.9-5 vctrs_0.3.8 pillar_1.6.2
[106] lifecycle_1.0.0 lmtest_0.9-38 estimability_1.3
[109] data.table_1.14.0 insight_0.14.2 lmom_2.8
[112] R6_2.5.0 latticeExtra_0.6-29 gridExtra_2.3
[115] rio_0.5.27 gld_2.6.2 codetools_0.2-18
[118] boot_1.3-28 MASS_7.3-54 assertthat_0.2.1
[121] rprojroot_2.0.2 withr_2.4.2 nortest_1.0-4
[124] mnormt_2.0.2 multcomp_1.4-17 mgcv_1.8-36
[127] bayestestR_0.10.5 expm_0.999-6 parallel_4.1.1
[130] hms_1.1.0 grid_4.1.1 rpart_4.1-15
[133] timeDate_3043.102 class_7.3-19 minqa_1.2.4
[136] rmarkdown_2.10 ggpubr_0.4.0 pROC_1.17.0.1
[139] lubridate_1.7.10 base64enc_0.1-3
Please contact [email protected] or [email protected] if you have any questions realted to the code.