Plot the the marginal effects for each explanatory variables in R (ordered probit)

Asked May 14 '16 at 14:51

Active Dec 30 '18 at 20:43

Viewed 477 times

I'm running an ordered probit regression analysis. I've now calculated the marginal effects for each explanatory variable on my dependent variable (DV=0,1,2) using the erer package in R.

Now, my question is how do I plot the marginal effects? The plot that I want to get is similar to this one here.

I use the command polrto estimate the ordered probit regression. I have both continuous and dichotomous explanatory variables in the model.

My model looks something like this: model<-polr(y~x1,x2,x3,x4,x5,data=mydata,Hess=TRUE, method="probit") for the marginal effects I use simple the command from erer package: MEs<–ocME(model)

All comments are very welcome. Please have in mind though that I'm asking a question that is related to ordered probit regression analysis.

edited Dec 30 '18 at 20:43

jay.sf

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asked May 14 '16 at 14:51

FKG

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Please provide a [reproducible example](http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example). – rosapluesch May 14 '16 at 17:21
Have a look at packages `coefplot` and `coefplot2` – drammock May 15 '16 at 15:36

Plot the the marginal effects for each explanatory variables in R (ordered probit)

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