General Modules for 'teal' Applications
Add labels for facets to a ggplot2 object
Call a function with a character vector for the ... argument
S3 generic for sparkline widget HTML
Create internal markdown object for use in reporter
Determining scales for mosaics
Creates observers updating the currently selected column
Logical vector
Mosaic Rectangles Layer for ggplot2
Get stats for x-y pairs in scatterplot matrix
JavaScript expression to check if a tab is active
Plot variable
Removes the outlier observation from an array
Renders a single tab in the left-hand side tabset panel
Renders the text headlining a single tab in the left-hand side tabset ...
Renders the table for a single dataset in the left-hand side tabset pa...
Renders the left-hand side tabset panel of the module
Subset decorators based on the scope
Set the attributes of the last chunk outputs
Create a reactive that sets plot dimensions on a teal_card
Shared parameters documentation
Wrappers around srv_transform_teal_data that allows to decorate the ...
teal.modules.general: General modules to add to a teal application
teal module: Principal component analysis
teal module: Scatterplot and regression analysis
teal module: Data table viewer
teal module: File viewer
teal module: Front page
teal module: Stack plots of variables and show association with refe...
teal module: Univariate and bivariate visualizations
teal module: Distribution analysis
teal module: Response plot
teal module: Scatterplot
teal module: Scatterplot matrix
teal module: Missing data analysis
teal module: Outliers analysis
teal module: R Markdown render
teal module: Cross-table
teal module: Variable browser
Validates the variable browser inputs
Summarize NAs.
Summarizes variable
Get icons to represent variable types in dataset
Generate a string for a variable including its label
Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
Useful links