plot.ca: Distribution plotting

In SortedEffects: Estimation and Inference Methods for Sorted Causal Effects and Classification Analysis

Distribution plotting

Description

Plots distributions and joint uniform confidence bands of variables in interest from ca command.

Usage

## S3 method for class 'ca'
plot(x, var, main = NULL, sub = NULL, xlab = NULL, ylab = NULL, ...)

Arguments

x	Output of ca command with interest = "dist".
var	Name of variable for plotting
main	Main title of the plot. Defualt is NULL.
sub	Sub title of the plot. Default is NULL.
xlab	x-axis label. Default is NULL.
ylab	y-axis label. Default is NULL.
...	graphics parameters to be passed to the plotting routines.

Examples

data("mortgage")
### Regression Specification
fm <- deny ~ black + p_irat + hse_inc + ccred + mcred + pubrec +
ltv_med + ltv_high + denpmi + selfemp + single + hischl
### Specify characteristics of interest for plotting
t2 <- "p_irat"
### issue ca command
CAdist <- ca(fm = fm, data = mortgage, var = "black", method = "logit",
t = "p_irat", b = 50, interest = "dist")
### plotting
plot(CAdist, var = "p_irat", ylab = "Prob",
xlab = "Monthly Debt-to-Income Ratio", sub = "logit model")

SortedEffects documentation built on March 22, 2022, 9:05 a.m.