biometryassist (version 1.3.0)

summary_graph: Visualise a graphical summary of variables from a data frame

Description

Variables are plotted in different ways according to the number of explanatory variables provided as input.

Usage

summary_graph(data, response, exp_var, resp_units = "")

Value

A ggplot2 plot object

Arguments

data

A data frame containing the variables to be plotted.

response

The response variable to plot.

exp_var

The explanatory (or grouping) variable(s) to plot. Up to three can be provided.

resp_units

A string providing units to display on the response variable (y) axis. Will use the empty string by default so axes will have no units by default.

Details

With a single explanatory variable, a boxplot grouped by exp_var is produced. With two explanatory variables, a dot-plot with lines connecting the mean of each group is produced, with the first element of exp_var used as the x axis variable, and the second is used to colour the points. Three explanatory variables produces the same as two, but with the third used to facet the plot.

Examples

summary_graph(iris, "Petal.Length", "Species", "mm")

# Multiple explanatory variables can be provided as a vector
summary_graph(npk, "yield", c("N", "P"), "lb/plot")

summary_graph(npk, "yield", c("N", "P", "K"), "lb/plot")