nima (version 0.6.2)

qq_plot: Quantile-Quantile Plots

Description

Produce standard quantile-quantile plots for modeling using ggplot2.

Usage

qq_plot(
  x,
  distribution = "norm",
  ...,
  line.estimate = NULL,
  conf = 0.95,
  labels = names(x)
)

Arguments

x

A numeric vector of residuals from a generalized linear model.

distribution

The reference probability distribution for residuals.

...

Any additional parameters to be passed to distribution functions.

line.estimate

Should quantiles be estimated, if so which quantiles?

conf

The confidence level to be used with confidence intervals.

labels

The names to be used when identifying points on the Q-Q plot.

Examples

# NOT RUN {
n <- 100
x1 <- rnorm(n)
y1 <- rnorm(n)
linmod <- lm(y1 ~ x1)
x <- linmod$residuals
qq_plot(x)
# }