The SciViews::R dialect is base R + tidyverse + a series of SciViews packages like data.io, svFlow, or chart that makes a coherent and straightforward environment for data processing and visualization. In order to load all required packages, just use:
SciViews::R(silent = FALSE)
#> Warning in rm(list = exclude, envir = env): object 'rename_vars_' not found
#> Warning in rm(list = exclude, envir = env): object 'select_vars_' not found
#> ✔ Default data frame object (dtx): data.trame
#> ── Attaching packages ───────────────────────────────────── SciViews::R 1.9.2 ──
#> ✔ SciViews 1.9.2 ✔ collapse 2.1.7
#> ✔ tabularise 0.7.1 ✔ forcats 1.0.1
#> ✔ equatiomatic 0.4.8 ✔ broom 1.0.13
#> ✔ chart 1.5.5 ✔ dtplyr 1.3.3
#> ✔ data.io 1.7.0 ✔ dplyr 1.2.1
#> ✔ svTidy 0.2.1 ✔ tidyr 1.3.2
#> ✔ svFast 0.1.0 ✔ tibble 3.3.1
#> ✔ svFlow 1.2.1 ✔ ggplot2 4.0.3
#> ✔ svBase 1.7.4 ✔ data.trame 0.9.0
#> ✔ svMisc 1.6.0 ✔ lattice 0.22.9
#> ✔ helpai 0.1.1 ✔ MASS 7.3.65
#> ✔ fs 2.1.0 ✔ rlang 1.2.0
#> ── Conflicts ─────────────────────────────────────────── SciViews_conflicts() ──
#> ✖ svFlow::!!() masks rlang::!!()
#> ✖ svMisc::?() masks utils::?()
#> ✖ svTidy::all_of() masks dplyr::all_of(), tidyr::all_of()
#> ✖ collapse::D() masks stats::D()
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ svTidy::is.grouped_df() masks dplyr::is.grouped_df()
#> ✖ dplyr::lag() masks stats::lag()
#> ✖ svBase::list_types() masks svMisc::list_types()
#> ✖ collapse::replace_na() masks tidyr::replace_na()
#> ✖ dplyr::select() masks MASS::select()
#> ✖ data.trame::set_names() masks rlang::set_names()
#> ✖ data.io::write() masks base::write()