# plotDiagnostics

Class: NonLinearModel

Plot diagnostics of nonlinear regression model

## Syntax

```plotDiagnostics(mdl) plotDiagnostics(mdl,plottype) h = plotDiagnostics(...) h = plotDiagnostics(mdl,plottype,Name,Value) ```

## Description

`plotDiagnostics(mdl)` plots diagnostics from the `mdl` linear model using leverage as the plot type.

`plotDiagnostics(mdl,plottype)` plots diagnostics in a plot of type `plottype`.

`h = plotDiagnostics(...)` returns handles to the lines in the plot.

`h = plotDiagnostics(mdl,plottype,Name,Value)` plots with additional options specified by one or more `Name,Value` pair arguments.

## Input Arguments

`mdl`

Nonlinear regression model, constructed by `fitnlm`.

`plottype`

Character vector or string scalar specifying the type of plot:

 `'contour'` Residual vs. leverage with overlaid Cook's contours `'cookd'` Cook's distance `'leverage'` Leverage (diagonal of Hat matrix)

Default: `'leverage'`

### Name-Value Pair Arguments

Specify optional comma-separated pairs of `Name,Value` arguments. `Name` is the argument name and `Value` is the corresponding value. `Name` must appear inside quotes. You can specify several name and value pair arguments in any order as `Name1,Value1,...,NameN,ValueN`.

Note

The plot property name-value pairs apply to the first returned handle `h(1)`.

`'Color'`

Color of the line or marker, specified as an RGB triplet, hexadecimal color code, color name, or short name for one of the color options listed in the following table.

For a custom color, specify an RGB triplet or a hexadecimal color code.

• An RGB triplet is a three-element row vector whose elements specify the intensities of the red, green, and blue components of the color. The intensities must be in the range `[0,1]`; for example, ```[0.4 0.6 0.7]```.

• A hexadecimal color code is a character vector or a string scalar that starts with a hash symbol (`#`) followed by three or six hexadecimal digits, which can range from `0` to `F`. The values are not case sensitive. Thus, the color codes `'#FF8800'`, `'#ff8800'`, `'#F80'`, and `'#f80'` are equivalent.

Alternatively, you can specify some common colors by name. This table lists the named color options, the equivalent RGB triplets, and hexadecimal color codes.

Color NameShort NameRGB TripletHexadecimal Color CodeAppearance
`'red'``'r'``[1 0 0]``'#FF0000'`

`'green'``'g'``[0 1 0]``'#00FF00'`

`'blue'``'b'``[0 0 1]``'#0000FF'`

`'cyan'` `'c'``[0 1 1]``'#00FFFF'`

`'magenta'``'m'``[1 0 1]``'#FF00FF'`

`'yellow'``'y'``[1 1 0]``'#FFFF00'`

`'black'``'k'``[0 0 0]``'#000000'`

`'white'``'w'``[1 1 1]``'#FFFFFF'`

Here are the RGB triplets and hexadecimal color codes for the default colors MATLAB® uses in many types of plots.

`[0 0.4470 0.7410]``'#0072BD'`

`[0.8500 0.3250 0.0980]``'#D95319'`

`[0.9290 0.6940 0.1250]``'#EDB120'`

`[0.4940 0.1840 0.5560]``'#7E2F8E'`

`[0.4660 0.6740 0.1880]``'#77AC30'`

`[0.3010 0.7450 0.9330]``'#4DBEEE'`

`[0.6350 0.0780 0.1840]``'#A2142F'`

`'LineStyle'`

Type of line, a Line Properties specification. For details, see `linespec`.

`'LineWidth'`

Width of the line or edges of filled area, in points, a positive scalar. One point is 1/72 inch.

Default: `0.5`

`'MarkerEdgeColor'`

Marker outline color, specified as an RGB triplet, hexadecimal color code, color name, or short name for one of the color options listed in the `Color` name-value pair argument.

`'MarkerFaceColor'`

Fill color for filled markers, specified as an RGB triplet, hexadecimal color code, color name, or short name for one of the color options listed in the `Color` name-value pair argument.

`'MarkerSize'`

Size of the marker in points, a strictly positive scalar. One point is 1/72 inch.

## Output Arguments

 `h` Vector of handles to lines or patches in the plot.

## Examples

expand all

Create a leverage plot of a fitted nonlinear model, and find the points with high leverage.

Load the reaction data and fit a model of the reaction rate as a function of reactants.

```load reaction mdl = fitnlm(reactants,rate,@hougen,[1 .05 .02 .1 2]);```

Create a leverage plot of the fitted model.

`plotDiagnostics(mdl)`

Use data tips to examine the observation with high leverage. A data tip appears when you hover over a data point.

Alternatively, find the high-leverage observation at the command line.

`find(mdl.Diagnostics.Leverage > 0.8)`
```ans = 6```

expand all

## Tips

• The data cursor displays the values of the selected plot point in a data tip (small text box located next to the data point). The data tip includes the x-axis and y-axis values for the selected point, along with the observation name or number.

## References

[1] Neter, J., M. H. Kutner, C. J. Nachtsheim, and W. Wasserman. Applied Linear Statistical Models, Fourth Edition. Irwin, Chicago, 1996.