Plots a quantile-quantile (Q-Q) plot of censored regression residuals for simple or multiple regression.
cenregQQ(y.var, cen.var, x.vars, LOG =TRUE, intcens =FALSE, main =NULL)
Arguments
y.var: The column of y (response variable) values plus detection limits. Alternatively, with interval-censord data, the column of the lower end of the interval.
cen.var: 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. Alternatively, with interval-censored data the column of the high end of the interval.
x.vars: One or more uncensored explanatory variable(s). See Details
LOG: Indicator of whether to compute the regression in the original y units, or on their logarithms. The default is to use the logarithms (LOG = TRUE). To compute in original units, specify the option LOG = FALSE (or LOG = 0).
intcens: a logical value indicating the input data is interval-censored instead of a column of values plus a column of indicators.
main: overall title for the plot. A default titel will be used if none is specified.
Returns
Q-Q Plot of model residuals and Shapiro-Francia test results.
Examples
data(Brumbaugh)# One variablecenregQQ(Brumbaugh$Hg,Brumbaugh$HgCen,Brumbaugh$PctWetland)# More than one variable for demostration purposescenregQQ(Brumbaugh$Hg,Brumbaugh$HgCen,Brumbaugh[,c("PctWetland","SedLOI","Weight")])
References
Helsel, D.R., 2011. Statistics for censored environmental data using Minitab and R, 2nd ed. John Wiley & Sons, USA, N.J.
Millard, S.P., 2013. EnvStats: An R Package for Environmental Statistics. Springer-Verlag, New York.
Shapiro, S.S., Francia, R.S., 1972. An approximate analysis of variance test for normality. Journal of the American Statistical Association 67, 215–216.