effectplot {boolean} | R Documentation |
This function plots the change in probability of the outcome in one explanatory variable as a function of a change in another explanatory variable.
effectplot(z.out, variables, delta = 1, CI = 95, truehist = TRUE, legend = TRUE, polygon = FALSE, ...)
z.out |
An object produced by Zelig . |
variables |
A character vector of length two. The first indicates which
explanatory variable should constitute the x-axis of the plot.
The second indicates which explanatory variable should be
perturbed by delta |
delta |
The amount by which to perturb the sample values of the second element
of variable . |
CI |
Confidence interval for (the change in) the probability of the outcome. Set this equal to any negative number to suppress confidence intervals. |
truehist |
If TRUE, a histogram for variable is included in the plot. |
legend |
If TRUE, a legend is included in the plot. |
polygon |
If TRUE, then the confidence intervals as filled as ploygons. |
... |
Further arguments passed to plot or setx . |
Nothing is returned.
Bear F. Braumoeller, Harvard University, braumoeller.1@polisci.osu.edu,
Ben Goodrich, Harvard University, goodrich@fas.harvard.edu, and
Jacob Kline, Harvard University, jkline@fas.harvard.edu
Braumoeller, Bear F. (2003) "Causal Complexity and the Study of Politics." Political Analysis 11(3): 209-233.