Package: radiant.data 1.6.6

Vincent Nijs

radiant.data: Data Menu for Radiant: Business Analytics using R and Shiny

The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.

Authors:Vincent Nijs [aut, cre], Niklas von Hertzen [aut]

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radiant.data/json (API)
NEWS

# Install 'radiant.data' in R:

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

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

Datasets:

avengers - Avengers
diamonds - Diamond prices
publishers - Comic publishers
superheroes - Super heroes
titanic - Survival data for the Titanic

On CRAN:

178 exports 54 stars 3.92 score 127 dependencies 6 dependents 1 mentions 128 scripts 2.2k downloads

Last updated 2 months agofrom:72f75c2497. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 24 2024
R-4.5-win	OK	Aug 24 2024
R-4.5-linux	OK	Aug 24 2024
R-4.4-win	OK	Aug 24 2024
R-4.4-mac	OK	Aug 24 2024
R-4.3-win	OK	Aug 24 2024
R-4.3-mac	OK	Aug 24 2024

Exports:add_class add_description arrange_data as_character as_distance as_dmy as_dmy_hm as_dmy_hms as_duration as_factor as_hm as_hms as_integer as_mdy as_mdy_hm as_mdy_hms as_numeric as_tibble as_ymd as_ymd_hm as_ymd_hms bs_theme center choose_dir choose_files ci_label ci_perc combine_data combinedata copy_all copy_attr copy_from cv date deregister describe does_vary dtab empty_level explore filter_data filterdata find_dropbox find_gdrive find_home find_project fix_names fix_smart fixMS flip format_df format_nr formatdf formatnr get_class get_data get_summary getclass getdata getsummary ggplotly glance glue glue_collapse glue_data indexr install_webshot inverse is_double is_not is_numeric is_string is.empty iterms knit_print kurtosi launch level_list ln load_clip make_arrange_cmd make_train make_vec max_rm me mean_rm median_rm meprop min_rm modal month mutate_ext n_missing n_obs normalize p01 p025 p05 p10 p25 p75 p90 p95 p975 p99 parse_path pcv pfun pivotr plot_annotation pmean pmedian pp01 pp025 pp05 pp10 pp25 pp75 pp95 pp975 pp99 prop psd psum pvar qscatter qterms radiant.data radiant.data_url radiant.data_viewer radiant.data_window read_files refactor register render round_df rounddf rownames_to_column save_clip sd_rm sdpop sdprop se Search search_data seprop set_attr show_duplicated sig_stars skew slice_data square sshh sshhr standardize store subplot sum_rm table2data theme_version tibble tidy to_fct toFct var_rm varpop varprop view_data viewdata visualize wday weighted.sd which.pmax which.pmin wrap_plots write_parquet writePNG xtile

Dependencies:abind 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 nlme nloptr nnet numDeriv openssl patchwork pbkrtest pillar pkgconfig plotly png prettyunits progress promises psych purrr quantreg R6 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
Convenience function to add a class	add_class
Convenience function to add a markdown description to a data.frame	add_description
Arrange data with user-specified expression	arrange_data
Wrapper for as.character	as_character
Distance in kilometers or miles between two locations based on lat-long Function based on <http://www.movable-type.co.uk/scripts/latlong.html>. Uses the haversine formula	as_distance
Convert input in day-month-year format to date	as_dmy
Convert input in day-month-year-hour-minute format to date-time	as_dmy_hm
Convert input in day-month-year-hour-minute-second format to date-time	as_dmy_hms
Wrapper for lubridate's as.duration function. Result converted to numeric	as_duration
Wrapper for factor with ordered = FALSE	as_factor
Convert input in hour-minute format to time	as_hm
Convert input in hour-minute-second format to time	as_hms
Convert variable to integer avoiding potential issues with factors	as_integer
Convert input in month-day-year format to date	as_mdy
Convert input in month-day-year-hour-minute format to date-time	as_mdy_hm
Convert input in month-day-year-hour-minute-second format to date-time	as_mdy_hms
Convert variable to numeric avoiding potential issues with factors	as_numeric
Convert input in year-month-day format to date	as_ymd
Convert input in year-month-day-hour-minute format to date-time	as_ymd_hm
Convert input in year-month-day-hour-minute-second format to date-time	as_ymd_hms
Avengers	avengers
Center	center
Choose a directory interactively	choose_dir
Choose files interactively	choose_files
Labels for confidence intervals	ci_label
Values at confidence levels	ci_perc
Combine datasets using dplyr's bind and join functions	combine_data
Source all package functions	copy_all
Copy attributes from one object to another	copy_attr
Source for package functions	copy_from
Coefficient of variation	cv
Deregister a data.frame or list in Radiant	deregister
Show dataset description	describe
Diamond prices	diamonds
Does a vector have non-zero variability?	does_vary
Method to create datatables	dtab
Create an interactive table to view, search, sort, and filter data	dtab.data.frame
Make an interactive table of summary statistics	dtab.explore
Make an interactive pivot table	dtab.pivotr
Convert categorical variables to factors and deal with empty/missing values	empty_level
Explore and summarize data	explore
Filter data with user-specified expression	filter_data
Find Dropbox folder	find_dropbox
Find Google Drive folder	find_gdrive
Find user directory	find_home
Find the Rstudio project folder	find_project
Ensure column names are valid	fix_names
Replace smart quotes etc.	fix_smart
Flip the DT table to put Function, Variable, or Group by on top	flip
Format a data.frame with a specified number of decimal places	format_df
Format a number with a specified number of decimal places, thousand sep, and a symbol	format_nr
Get variable class	get_class
Select variables and filter data	get_data
Create data.frame summary	get_summary
Work around to avoid (harmless) messages from ggplotly	ggplotly
Find index corrected for missing values and filters	indexr
Install webshot and phantomjs	install_webshot
Calculate inverse of a variable	inverse
Is input a double (and not a date type)?	is_double
Convenience function for is.null or is.na	is_not
Is input a string?	is_string
Is a variable empty	is.empty
Create a vector of interaction terms for linear and logistic regression	iterms
Launch radiant apps	launch
Generate list of levels and unique values	level_list
Natural log	ln
Load data through clipboard on Windows or macOS	load_clip
Generate arrange commands from user input	make_arrange_cmd
Generate a variable used to selected a training sample	make_train
Convert a string of numbers into a vector	make_vec
Margin of error	me
Margin of error for proportion	meprop
Calculate the mode (modal value) and return a label	modal
Add ordered argument to lubridate::month	month
Add transformed variables to a data frame with the option to include a custom variable name extension	mutate_ext
Number of missing values	n_missing
Number of observations	n_obs
Normalize a variable x by a variable y	normalize
Calculate percentiles	p01 p025 p05 p10 p25 p75 p90 p95 p975 p99
Parse file path into useful components	parse_path
Summarize a set of numeric vectors per row	pcv pfun pmean pmedian pp01 pp025 pp05 pp10 pp25 pp75 pp95 pp975 pp99 psd psum pvar
Create a pivot table	pivotr
Plot method for the pivotr function	plot.pivotr
Calculate proportion	prop
Comic publishers	publishers
Create a qscatter plot similar to Stata	qscatter
Create a vector of quadratic and cubed terms for use in linear and logistic regression	qterms
radiant.data	radiant.data
Start radiant.data app but do not open a browser	radiant.data_url
Launch the radiant.data app in the Rstudio viewer	radiant.data_viewer
Launch the radiant.data app in an Rstudio window	radiant.data_window
Deprecated function(s) in the radiant.data package	combinedata filterdata fixMS formatdf formatnr getclass getdata getsummary is_numeric max_rm mean_rm median_rm min_rm radiant.data-deprecated rounddf sd_rm Search sum_rm toFct var_rm viewdata
Generate code to read a file	read_files
Remove/reorder levels	refactor
Register a data.frame or list in Radiant	register
Base method used to render htmlwidgets	render
Method to render DT tables	render.datatables
Method to render plotly plots	render.plotly
Round doubles in a data.frame to a specified number of decimal places	round_df
Save data to clipboard on Windows or macOS	save_clip
Standard deviation for the population	sdpop
Standard deviation for proportion	sdprop
Standard error	se
Search for a pattern in all columns of a data.frame	search_data
Standard error for proportion	seprop
Alias used to add an attribute	set_attr
Show all rows with duplicated values (not just the first or last)	show_duplicated
Add stars based on p.values	sig_stars
Slice data with user-specified expression	slice_data
Calculate square of a variable	square
Hide warnings and messages and return invisible	sshh
Hide warnings and messages and return result	sshhr
Standardize	standardize
Method to store variables in a dataset in Radiant	store
Deprecated: Store method for the explore function	store.explore
Deprecated: Store method for the pivotr function	store.pivotr
Work around to avoid (harmless) messages from subplot	subplot
Summary method for the explore function	summary.explore
Summary method for pivotr	summary.pivotr
Super heroes	superheroes
Create data.frame from a table	table2data
Survival data for the Titanic	titanic
Convert characters to factors	to_fct
Variance for the population	varpop
Variance for proportion	varprop
View data in a shiny-app	view_data
Visualize data using ggplot2 <https://ggplot2.tidyverse.org/>	visualize
Add ordered argument to lubridate::wday	wday
Weighted standard deviation	weighted.sd
Index of the maximum per row	which.pmax
Index of the minimum per row	which.pmin
Workaround to store description file together with a parquet data file	write_parquet
Split a numeric variable into a number of bins and return a vector of bin numbers	xtile