Plots a quantile-quantile (Q-Q) plot of censored data versus a fitted data distribution

cenQQ(x.var, cens.var, dist = "lnorm", Yname = yname)

## Arguments

x.var The column of x (response variable) values plus detection limits The column of indicators, where 1 (or TRUE) indicates a detection limit in the y.var column, and 0 (or FALSE) indicates a detected value in y.var. One of three distributional shapes to fit to your data: lognormal (lnorm), normal (norm) or gamma (gamma). Optional – input text in quotes to be used as the variable name on the Q-Q plot. The default is the Yname name of the y.var input variable.

## Value

A single Q-Q plot of data fitted by normal, lognormal or gamma distributions with Shapiro-Francia W value printed on plot.

## References

Helsel, D.R., 2011. Statistics for Censored Environmental Data using Minitab and R, 2nd ed. John Wiley & Sons, USA, N.J.

Shapiro, S.S., Francia, R.S., 1972. An approximate analysis of variance test for normality. Journal of the American Statistical Association 67, 215–216.

## Examples

# \donttest{
data(Brumbaugh)
cenQQ(Brumbaugh$Hg,Brumbaugh$HgCen)

# User defined distribution
cenQQ(Brumbaugh$Hg,Brumbaugh$HgCen,dist="gamma")
# }