Function reference • radiant.data

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

Reference

Data > Manage

Data > View

Data > Visualize

Data > Pivot

Data > Explore

Data > Transform

Data > Combine

Report

Convenience functions

Starting radiant.data

Re-exported

Data sets

Deprecated