plotQQnorm.Rd
Make a Q-Q plot
plotQQnorm( residuals, lower = NULL, upper = NULL, abline = TRUE, ablineColor = "red", xName = gettext("Theoretical quantiles", domain = "R-jaspGraphs"), yName = gettext("Observed quantiles", domain = "R-jaspGraphs") )
residuals | Numeric vector, the residuals of the analysis. |
---|---|
lower | Numeric vector, lower confidence interval of each residual. If NULL, no error bars are drawn. |
upper | Numeric vector, lower confidence interval of each residual. If NULL, no error bars are drawn. |
abline | Logical, should an abline be drawn through the origin? |
ablineColor | String, color of the abline. |
xName | String, name for the x-axis. |
yName | String, name for the y-axis. |
This function is equivalent to qqnorm(residuals); qqline(residuals)
, but uses ggplot2
and allows for confidence bands.
x <- rnorm(100) jaspGraphs::plotQQnorm(x) # add a confidence interval for each point lower <- x - .1 upper <- x + .1 jaspGraphs::plotQQnorm(x, lower, upper)