An R6 class to manage data loading, preprocessing, and common UI elements for various Shiny modules in the package. It handles file reading (csv, xlsx, sav, sas7bdat, dta), initial variable analysis, and the rendering and logic for common data manipulations like creating binary variables, changing factor references, and subsetting data. This class is designed to be used internally by other Shiny server modules to reduce code duplication.
inputShiny module's input object.
outputShiny module's output object.
sessionShiny module's session object.
nsShiny module's namespace function.
nfactor.limitThe threshold for unique values to suggest a numeric variable as a factor.
initial_data_infoA reactive value holding the initially loaded data and its metadata.
processed_dataA reactive value holding the data after all transformations have been applied.
new()Create a new DataManager object.
DataManager$new(input, output, session, nfactor.limit = 20)inputShiny module's input object.
outputShiny module's output object.
sessionShiny module's session object.
nfactor.limitThe maximum number of unique values for a continuous variable to be suggested as a factor.
A new `DataManager` object.
get_reactive_data()Returns the final processed data as a reactive expression. This is the main output to be used by the calling module.
DataManager$get_reactive_data()A reactive expression that returns a list containing the processed `data`, `label` information, and `naomit` message.
clone()The objects of this class are cloneable with this method.
DataManager$clone(deep = FALSE)deepWhether to make a deep clone.