qualifierplot: Smart plotting of tidy data frames

In mudata: Interchange Tools for Multi-Parameter Spatiotemporal Data

Description

This function uses ggplot to plot a 'long' data frame with a few id.vars, or variables that identify the values in the value column. The function is optimised to plot multi-parameter spatiotemporal data either horizontally (time on the x axis) or vertically (time on the y axis). Facets are intended to be by parameter, which is guessed based on the right-most variable named in id.vars. In the case of a qtag object, many of these values are guessed. This is intended to produce a quick visual of an object to examine its contents.

Usage

qualifierplot(x, id.vars, measure.var, subset, xvar, yvar, facets,
  geom = "path", errors = "err", ...)

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

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

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

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

Arguments

x	A data.frame
id.vars	Columns that identify unique values
measure.var	Column that contains values to be plotted
subset	Subset to plot
xvar	Column to be used on the x-axis
yvar	Column to be used on the y-axis
facets	Column to be used as facetting variable
geom	GGPlot geometries to be used. Can be any combination of point, path, or line.
errors	The colum that contains uncertainty information
...	Passed on to aes_string()

Value

A ggplot object

Examples

data(pocmaj)
qualifierplot(pocmaj, c("core", "depth"), "Ca")

pocmajqt <- as.qtag(pocmaj, id.vars=c("core", "depth"))
plot(pocmajqt, geom=c("path", "point"))
plot(pocmajqt, subset=core=="MAJ-1" & param %in% c("Ca", "Ti"))
plot(pocmajqt, shape="core", geom=c("path", "point"))
plot(long(pocmajqt))

library(ggplot2)
autoplot(pocmajqt, col="core")

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