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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)
#>  Default data frame object (dtx): data.trame
#> ── Attaching packages ───────────────────────────────────── SciViews::R 1.9.2 ──
#>  SciViews     1.9.2       collapse     2.1.3 
#>  tabularise   0.7.0       forcats      1.0.0 
#>  equatiomatic 0.4.4       broom        1.0.9 
#>  chart        1.5.4       dtplyr       1.3.1 
#>  data.io      1.7.0       dplyr        1.1.4 
#>  svTidy       0.1.0       tidyr        1.3.1 
#>  svFast       0.1.0       tibble       3.3.0 
#>  svFlow       1.2.1       ggplot2      3.5.2 
#>  svBase       1.7.0       data.trame   0.9.0 
#>  svMisc       1.6.0       lattice      0.22.7
#>  helpai       0.1.1       MASS         7.3.65
#>  fs           1.6.6       rlang        1.1.6
#> ── 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()
#>  svBase::get_section()   masks svMisc::get_section()
#>  dplyr::lag()            masks stats::lag()
#>  svBase::list_types()    masks svMisc::list_types()
#>  collapse::replace_na()  masks tidyr::replace_na()
#>  svBase::section()       masks svMisc::section()
#>  dplyr::select()         masks MASS::select()
#>  data.trame::set_names() masks rlang::set_names()
#>  data.io::write()        masks base::write()