plot.RRlog  R Documentation 
Plot predicted logit values/probabilities of a randomized response logistic regression model.
## S3 method for class 'RRlog' plot( x, predictor = NULL, type = c("link", "response", "attribute"), center.preds = TRUE, plot.mean = TRUE, ci = 0.95, xlim = NULL, steps = 50, ... )
x 
a fitted RRlog object 
predictor 
character name of a predictor of the model to be fitted 
type 

center.preds 
whether to compute predictions by assuming that all other
predictors are at their respective mean values (if 
plot.mean 
whether to plot the mean of the predictor as a vertical line 
ci 
level for confidence intervals. Use 
xlim 
if provided, these boundaries are used for the predictor on the xaxis 
steps 
number of steps for plotting 
... 
other arguments passed to the function plot (e.g., 
predict.RRlog
# generate data n < 500 x < data.frame(x1 = rnorm(n)) pi.true < 1 / (1 + exp(.3 + 1.5 * x$x1)) true < rbinom(n, 1, plogis(pi.true)) dat < RRgen(n, trueState = true, model = "Warner", p = .1) x$response < dat$response # fit and plot RR logistic regression mod < RRlog(response ~ x1, data = x, model = "Warner", p = .1) plot(mod, "x1", ci = .95, type = "attribute", ylim = 0:1)
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