Produces a normal QQ plot with a line of equality and a confidence band (by default) of the input data. This is basically a prettier version of qqnorm from the stats package.
QQnorm(xdata, col = c(4, 6), ylab = "Sample Quantiles", xlab = "Theoretical Quantiles",
main = "Normal Q-Q Plot", ylim = NULL, ci = TRUE, width.ci = 99.995,
qqlwd = 1, ...)
the data. If a matrix, the data are collapsed.
vector of 2, first is point color, second is line color (default is blue-4 and magenta-6).
y-axis label (default is 'Sample Quantiles').
x-axis label (default is 'Theoretical Quantiles').
plot title (default is 'Normal Q-Q Plot')
limits on y-axis (default is the most beautiful limits ever).
logical; if TRUE (default) draws pointwise CIs as a band.
width of the CI in terms of percent (default is 99.995).
line width of the qqline (default is 1).
other graphical parameters sent to tsplot.
D.S. Stoffer
If you want a graphic to check normality of your data in xdata, just enter QQnorm(xdata) and sit back and enjoy the beauty of this script (you may want to wear sunglasses).
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.