plot.ov: plot

In OVtool: Omitted Variable Tool

Description

Plots the user specified graphic(s)

Usage

## S3 method for class 'ov'
plot(x, col="color", print_graphic="1", p_contours = c(0.01, 0.05, 0.1), ...)

Arguments

x	Object returned from the call to ov_sim
col	If user wants color or black and white. Specify color with "color" or black and white "bw"
print_graphic	Takes values "1", "2", or "3", depending what graphics the user wants
p_contours	P-value countours to plot. The default plots: 0.01, 0.05, and 0.1. We only recommend changing this if the raw effect p-value is very close to one of these values. Do not specify more than four p-value contours.
...	Additional arguments.

Value

This function will print the plot to screen that the use specifies with print_graphic.

Examples

data(sud)
sud = data.frame(sud[sample(1:nrow(sud),100),])
sud$treat = ifelse(sud$treat == "A", 1, 0)
sud$wts = sample(seq(1, 10, by=.01), size=nrow(sud), replace = TRUE)
outcome_mod = outcome_model(data = sud,
                            weights = "wts",
                            treatment = "treat",
                            outcome = "eps7p_6",
                            model_covariates = c("sfs8p_0", "eps7p_0",
                                                 "ada_0"),
                            estimand = "ATE")

ovtool_results = ov_sim(model_results=outcome_mod,
                        plot_covariates=c("sfs8p_0", "ada_0"),
                        es_grid = 0,
                        rho_grid = 0,
                        n_reps = 2,
                        progress=FALSE)
plot = plot.ov(ovtool_results, print_graphic="3", p_contours=.05)

OVtool documentation built on Nov. 2, 2021, 9:07 a.m.