qq_plot: Quantile-Quantile Plots

In nima: Nima Hejazi's R Toolbox

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

n <- 100
x1 <- rnorm(n)
y1 <- rnorm(n)
linmod <- lm(y1 ~ x1)
x <- linmod$residuals
qq_plot(x)

nima documentation built on March 13, 2020, 2:10 a.m.