summary_graph {biometryassist} | R Documentation |

## 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 = "")
```

### 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.

### Value

A ggplot2 plot object

### Examples

```
summary_graph(iris, "Petal.Length", "Species", "mm")
# Multiple
summary_graph(npk, "yield", c("N", "P"), "lb/plot")
summary_graph(npk, "yield", c("N", "P", "K"), "lb/plot")
```

*biometryassist*version 1.2.1 Index]