fx_ggplot: Effex Function: Visualization

In sflippl/tectr: User Interface for Complex Datasets

Description

This function creates an effectively and explicitly specified visualization of several variables in line with the syntax of ggplot2.

Usage

fx_ggplot(data, mapping, facet_vars = vars(), ...)

Arguments

data	A dataframe with metaframe() as an attribute
mapping	An aesthetic mapping
facet_vars	Possibly variables, given via ggplot2::vars(), to facet after
...	Parameters to give on to fx_default()

Required metaframe columns

• fxGeom_class: What class does the geometry have?

• fxGeom_limits: The range of the variables

• fxGeom_trans: The scale transformation

• fxInfo_name: The name of the variable

Extension Mechanism

Extensions may be defined over the following functions:

• fxe_layer_single(): This function adds independent elements whose nature only depends on a single aesthetic to the plot. Usually, it is split up into:

  • fxe_layer_scale(): This function explicitly changes the independent scale element.

  • fxe_layer_single_other(): This function adds any other independent plot elements.

• the sub-functions of fxi_layer_complete(): This function implements a voting system to determine those plot elements which depend on all aesthetics.

• fxe_labeller(): This function returns the ggplot2::labeller() for a possible facetting variable. It is again an independent plot element.

Examples

fx_ggplot(mtcars, aes(x = mpg))
fx_ggplot(diamonds, aes(x = carat, y = price))

sflippl/tectr documentation built on May 6, 2019, 8:51 a.m.