library(rUM)We would like to create a research project, so we use the rUM package. It creates a new RStudio project that has an analysis R markdown file using the tidyverse and conflicted packages. For more advanced analysis, we can also create R markdown files which use the tidymodels package.
To create a research project, see the steps here: https://raymondbalise.github.io/rUM/.
If you are new to R, ignore this.
sessionInfo()
#> R version 4.1.1 (2021-08-10)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 10 x64 (build 19042)
#>
#> Matrix products: default
#>
#> locale:
#> [1] LC_COLLATE=C
#> [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] rUM_0.3.1
#>
#> loaded via a namespace (and not attached):
#> [1] tidyselect_1.1.1 xfun_0.27 bslib_0.3.1 purrr_0.3.4
#> [5] haven_2.4.3 colorspace_2.0-2 vctrs_0.3.8 generics_0.1.1
#> [9] htmltools_0.5.2 yaml_2.2.1 utf8_1.2.2 rlang_0.4.12
#> [13] jquerylib_0.1.4 pillar_1.6.4 withr_2.4.2 glue_1.4.2
#> [17] DBI_1.1.1 tidyverse_1.3.1 dbplyr_2.1.1 modelr_0.1.8
#> [21] readxl_1.3.1 lifecycle_1.0.1 stringr_1.4.0 munsell_0.5.0
#> [25] gtable_0.3.0 cellranger_1.1.0 rvest_1.0.2 evaluate_0.14
#> [29] knitr_1.36 forcats_0.5.1 tzdb_0.2.0 fastmap_1.1.0
#> [33] fansi_0.5.0 broom_0.7.10 Rcpp_1.0.7 readr_2.0.2
#> [37] backports_1.3.0 scales_1.1.1 jsonlite_1.7.2 fs_1.5.0
#> [41] ggplot2_3.3.5 hms_1.1.1 digest_0.6.28 conflicted_1.0.4
#> [45] stringi_1.7.5 dplyr_1.0.7 grid_4.1.1 tools_4.1.1
#> [49] magrittr_2.0.1 sass_0.4.0 tibble_3.1.5 crayon_1.4.2
#> [53] tidyr_1.1.4 pkgconfig_2.0.3 ellipsis_0.3.2 xml2_1.3.2
#> [57] reprex_2.0.1 lubridate_1.8.0 assertthat_0.2.1 rmarkdown_2.11
#> [61] httr_1.4.2 R6_2.5.1 compiler_4.1.1