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 4.1.0 (2021-05-18)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Big Sur 10.16
#>
#> Matrix products: default
#> BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
#>
#> locale:
#> [1] C/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] rUM_0.3.0
#>
#> loaded via a namespace (and not attached):
#> [1] tidyselect_1.1.1 xfun_0.24 bslib_0.2.5.1 purrr_0.3.4
#> [5] haven_2.4.1 colorspace_2.0-2 vctrs_0.3.8 generics_0.1.0
#> [9] htmltools_0.5.1.1 yaml_2.2.1 utf8_1.2.1 rlang_0.4.11
#> [13] jquerylib_0.1.4 pillar_1.6.1 glue_1.4.2 withr_2.4.2
#> [17] DBI_1.1.1 tidyverse_1.3.1 dbplyr_2.1.1 modelr_0.1.8
#> [21] readxl_1.3.1 lifecycle_1.0.0 stringr_1.4.0 munsell_0.5.0
#> [25] gtable_0.3.0 cellranger_1.1.0 rvest_1.0.0 evaluate_0.14
#> [29] knitr_1.33 forcats_0.5.1 fansi_0.5.0 broom_0.7.8
#> [33] Rcpp_1.0.7 readr_1.4.0 backports_1.2.1 scales_1.1.1
#> [37] jsonlite_1.7.2 fs_1.5.0 ggplot2_3.3.5 hms_1.1.0
#> [41] digest_0.6.27 conflicted_1.0.4 stringi_1.7.3 dplyr_1.0.7
#> [45] grid_4.1.0 tools_4.1.0 magrittr_2.0.1 sass_0.4.0
#> [49] tibble_3.1.2 crayon_1.4.1 tidyr_1.1.3 pkgconfig_2.0.3
#> [53] ellipsis_0.3.2 xml2_1.3.2 reprex_2.0.0 lubridate_1.7.10
#> [57] assertthat_0.2.1 rmarkdown_2.9 httr_1.4.2 R6_2.5.0
#> [61] compiler_4.1.0