# plot.see_compare_parameters: Plot method for comparison of model parameters In see: Visualisation Toolbox for 'easystats' and Extra Geoms, Themes and Color Palettes for 'ggplot2'

 plot.see_compare_parameters R Documentation

## Plot method for comparison of model parameters

### Description

The `plot()` method for the `parameters::compare_parameters()` function.

### Usage

```## S3 method for class 'see_compare_parameters'
plot(
x,
show_intercept = FALSE,
size_point = 0.8,
size_text = NA,
dodge_position = 0.8,
sort = NULL,
n_columns = NULL,
show_labels = FALSE,
...
)
```

### Arguments

 `x` An object. `show_intercept` Logical, if `TRUE`, the intercept-parameter is included in the plot. By default, it is hidden because in many cases the intercept-parameter has a posterior distribution on a very different location, so density curves of posterior distributions for other parameters are hardly visible. `size_point` Numeric specifying size of point-geoms. `size_text` Numeric value specifying size of text labels. `dodge_position` Numeric value specifying the amount of "dodging" (spacing) between geoms. `sort` The behavior of this argument depends on the plotting contexts. Plotting model parameters: If `NULL`, coefficients are plotted in the order as they appear in the summary. Setting `sort = "ascending"` or `sort = "descending"` sorts coefficients in ascending or descending order, respectively. Setting `sort = TRUE` is the same as `sort = "ascending"`. Plotting Bayes factors: Sort pie-slices by posterior probability (descending)? `n_columns` For models with multiple components (like fixed and random, count and zero-inflated), defines the number of columns for the panel-layout. If `NULL`, a single, integrated plot is shown. `show_labels` Logical. If `TRUE`, text labels are displayed. `...` Arguments passed to or from other methods.

### Value

A ggplot2-object.

### Examples

```if (require("insight") &&
require("parameters") &&
packageVersion("insight") >= "0.13.0") {
data(iris)
lm1 <- lm(Sepal.Length ~ Species, data = iris)
lm2 <- lm(Sepal.Length ~ Species + Petal.Length, data = iris)
lm3 <- lm(Sepal.Length ~ Species * Petal.Length, data = iris)
result <- compare_parameters(lm1, lm2, lm3)
plot(result)
}
```

see documentation built on March 31, 2022, 5:07 p.m.