# mnlAveEffPlot: Average Effects Plot for Multinomial Logistic Regression In DAMisc: Dave Armstrong's Miscellaneous Functions

## Description

Produces a plot of average effects for one variable while holding the others constant at observed values.

## Usage

 `1` ``` mnlAveEffPlot(obj, varname, data, R = 1500, nvals = 25, plot = TRUE, ...) ```

## Arguments

 `obj` An object of class `multinom`. `varname` A string indicating the variable for which the plot is desired. `data` The data used to estimate `obj`. `R` Number of simulations used to generate confidence bounds. `nvals` Number of evaluation points for the predicted probabilities. `plot` Logical indicating whether a plot should be produced (if `TRUE`) or numerical results should be returned (if `FALSE`). `...` Other arguments to be passed down to `xyplot`.

## Value

Either a plot or a data frame with variables

 `mean` The average effect (i.e., predicted probability) `lower` The lower 95% confidence bound `upper` The upper 95% confidence bound `y` The values of the dependent variable being predicted `x` The values of the independent variable being manipulated

## Author(s)

Dave Armstrong (UW-Milwaukee, Department of Political Science)

## References

Hanmer, M.J. and K.O. Kalkan. 2013. ‘Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models’. American Journal of Political Science. 57(1): 263-277.

## Examples

 ```1 2 3 4``` ```library(nnet) data(france) mnl.mod <- multinom(vote ~ age + male + retnat + lrself, data=france) ## Not run: mnlAveEffPlot(mnl.mod, "lrself", data=france) ```

### Example output

```Loading required package: car

Attaching package: 'carData'

The following objects are masked from 'package:car':

Guyer, UN, Vocab

lattice theme set by effectsTheme()
See ?effectsTheme for details.
# weights:  35 (24 variable)
initial  value 872.315349
iter  10 value 655.272636
iter  20 value 559.902797
iter  30 value 551.176433
final  value 551.169697
converged
```

DAMisc documentation built on May 30, 2017, 8:12 a.m.