longbiplot: Biplot a molten data frame using facets

In mudata: Interchange Tools for Multi-Parameter Spatiotemporal Data

Description

Uses the ggplot framework and facet_grid to produce biplots of a molten data frame.

Usage

longbiplot(x, id.vars, measure.var, namesx = NULL, namesy = NULL,
  namecolumn = NULL, errors = NULL, labeller = ggplot2::label_value,
  validate = TRUE, ...)

## S3 method for class 'qtag.long'
biplot(x, ...)

## S3 method for class 'qtag.wide'
biplot(x, ...)

Arguments

x	the object to biplot
id.vars	the columns that identify a single value
measure.var	The column containing the values to plot
namesx	The names to be included in the x axes, or all the names to be included
namesy	The names to be included on the y axes, or NULL for all possible combinations of namesx.
namecolumn	The column where namesx and namesy are to be found
errors	The column containing the errors. Use NULL for default ("err" if column exists or none otherwise), or NA to suppress.
labeller	The labeller to use to label facets (may want to use label_parsed to use plotmath-style labels)
validate	Ensure id.vars identify unique values
...	passed to aes_string()

Examples

data(pocmaj)
qt <- as.qtag(pocmaj)
biplot(qt, color="core")

mudata documentation built on Nov. 17, 2017, 7:30 a.m.