Package: radiant.design 1.6.6

Vincent Nijs

radiant.design: Design Menu for Radiant: Business Analytics using R and Shiny

The Radiant Design menu includes interfaces for design of experiments, sampling, and sample size calculation. The application extends the functionality in 'radiant.data'.

Authors:Vincent Nijs [aut, cre]

radiant.design_1.6.6.tar.gz
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radiant.design.pdf |radiant.design.html✨
radiant.design/json (API)
NEWS

# Install 'radiant.design' in R:

install.packages('radiant.design', repos = c('https://radiant-rstats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/radiant-rstats/radiant.design/issues

Datasets:

rndnames - 100 random names

On CRAN:

9 exports 11 stars 2.11 score 133 dependencies 1 dependents 1 mentions 18 scripts 1.3k downloads

Last updated 4 months agofrom:cf1e8d01e7. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 12 2024
R-4.5-win	OK	Sep 12 2024
R-4.5-linux	OK	Sep 12 2024
R-4.4-win	OK	Sep 12 2024
R-4.4-mac	OK	Sep 12 2024
R-4.3-win	OK	Sep 12 2024
R-4.3-mac	OK	Sep 12 2024

Exports:doe estimable radiant.design radiant.design_viewer radiant.design_window randomizer sample_size sample_size_comp sampling

Dependencies:abind admisc AlgDesign arrow askpass assertthat backports base64enc bit bit64 boot broom bslib cachem car carData cellranger cli clipr colorspace commonmark cowplot cpp11 crayon crosstalk curl data.table Deriv digest doBy dplyr DT evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue GPArotation gtable highr hms htmltools htmlwidgets httpuv httr import isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle lme4 lubridate magrittr markdown MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa mnormt modelr munsell mvtnorm nlme nloptr nnet numDeriv openssl patchwork pbkrtest pillar pkgconfig plotly png polycor prettyunits progress promises psych purrr pwr quantreg R6 radiant.data randomizr rappdirs RColorBrewer Rcpp RcppEigen readr readxl rematch rlang rmarkdown rstudioapi sass scales shiny shinyAce shinyFiles sourcetools SparseM stringi stringr survival sys tibble tidyr tidyselect timechange tinytex tzdb utf8 vctrs viridisLite vroom withr writexl xfun xtable yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create (partial) factorial design	doe
Determine coefficients that can be estimated based on a partial factorial design	estimable
Plot method for the sample_size_comp function	plot.sample_size_comp
radiant.design	radiant.design
Launch radiant.design in the Rstudio viewer	radiant.design_viewer
Launch radiant.design in an Rstudio window	radiant.design_window
Randomize cases into experimental conditions	randomizer
100 random names	rndnames
Sample size calculation	sample_size
Sample size calculation for comparisons	sample_size_comp
Simple random sampling	sampling
Summary method for doe function	summary.doe
Summary method for the randomizer function	summary.randomizer
Summary method for the sample_size function	summary.sample_size
Summary method for the sample_size_comp function	summary.sample_size_comp
Summary method for the sampling function	summary.sampling