README DESCRIPTION These files contain the data and the research script about the level of compliance with FAIR principles of dental publications for the period 2016-2021 ============= CONTACT Sergio Uribe, sergio.uribe@rsu.lv ============= FILES 01-analysis-script-fairness-dental-publications-2016-2021.Rmd Contains the analysis script in rmarkdown format to be read in rstudio. 02-data-dental-publications-fairness-2016-2021.csv Contains the original data 03-codebook-dental-publications-fairness.csv Contains the codebook with the meanings of the variables of the file 02-data-dental-publications-fairness-2016-2021.csv ============= PREREQUISITES To recreate the analysis you need to 1. to install the pacman package in R 2. Create a folder called "Figs" where the figures will be saved. ============= SOFTWARE AND PACKAGES USED R version 4.0.4 (2021-02-15) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Pop!_OS 21.10 Matrix products: default BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0 LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0 locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_GB.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] dataMaid_1.4.0 labelled_2.9.0 scales_1.1.1 [4] DataExplorer_0.8.2 visdat_0.5.3 ggeasy_0.1.3 [7] patchwork_1.1.1 gtsummary_1.5.0 here_1.0.1 [10] janitor_2.0.1 forcats_0.5.1 stringr_1.4.0 [13] dplyr_1.0.7 purrr_0.3.4 readr_2.1.1 [16] tidyr_1.1.4 tibble_3.1.6 ggplot2_3.3.5 [19] tidyverse_1.3.0 loaded via a namespace (and not attached): [1] colorspace_2.0-2 ggsignif_0.6.0 ellipsis_0.3.2 [4] rio_0.5.16 rprojroot_2.0.2 htmlTable_2.3.0 [7] snakecase_0.11.0 base64enc_0.1-3 fs_1.5.0 [10] rstudioapi_0.13 ggpubr_0.4.0 farver_2.1.0 [13] bit64_4.0.5 fansi_0.5.0 lubridate_1.8.0 [16] xml2_1.3.3 splines_4.0.4 robustbase_0.93-6 [19] knitr_1.36 Formula_1.2-4 jsonlite_1.7.2 [22] gt_0.3.1 broom_0.7.10.9000 cluster_2.1.1 [25] dbplyr_2.0.0 png_0.1-7 broom.mixed_0.2.6 [28] compiler_4.0.4 httr_1.4.2 backports_1.3.0 [31] assertthat_0.2.1 Matrix_1.3-2 fastmap_1.1.0 [34] cli_3.1.0 htmltools_0.5.2.9000 tools_4.0.4 [37] igraph_1.2.6 coda_0.19-4 gtable_0.3.0 [40] glue_1.5.1 reshape2_1.4.4 Rcpp_1.0.7 [43] carData_3.0-4 cellranger_1.1.0 vctrs_0.3.8 [46] nlme_3.1-152 broom.helpers_1.4.0 xfun_0.28 [49] networkD3_0.4 openxlsx_4.2.3 rvest_1.0.2 [52] lifecycle_1.0.1 pacman_0.5.1 rstatix_0.6.0 [55] DEoptimR_1.0-8 MASS_7.3-53.1 vroom_1.5.7 [58] hms_1.1.1 parallel_4.0.4 RColorBrewer_1.1-2 [61] TMB_1.7.22 yaml_2.2.1 curl_4.3.2 [64] gridExtra_2.3 pander_0.6.3 sass_0.4.0 [67] rpart_4.1-15 latticeExtra_0.6-29 stringi_1.7.6 [70] checkmate_2.0.0 zip_2.1.1 rlang_0.4.12 [73] pkgconfig_2.0.3 commonmark_1.7 evaluate_0.14 [76] lattice_0.20-41 htmlwidgets_1.5.4 labeling_0.4.2 [79] cowplot_1.1.0 bit_4.0.4 tidyselect_1.1.1 [82] plyr_1.8.6 magrittr_2.0.1 R6_2.5.1 [85] Hmisc_4.6-0 generics_0.1.1 DBI_1.1.0 [88] pillar_1.6.4 haven_2.4.3 foreign_0.8-81 [91] withr_2.4.3 nnet_7.3-15 survival_3.2-13 [94] abind_1.4-5 modelr_0.1.8 crayon_1.4.2 [97] car_3.0-10 utf8_1.2.2 tzdb_0.2.0 [100] rmarkdown_2.11 jpeg_0.1-9 grid_4.0.4 [103] readxl_1.3.1 data.table_1.14.2 reprex_0.3.0 [106] digest_0.6.28 munsell_0.5.0