plotHD(x, HD = "over", nint = 20, digits = 2, stats = TRUE, BoxCox = FALSE,
col = c("lightgray", "black"), lwd = c(1, 1), lty = "dashed", xlim,
ylim, ...)"over", to create a histogram superimposed by the
theoretical density plot of a normally distributed variable, and
"stack", to create a hisnint = 20.x should
be added to the plot. Available only when HD = "over". The function
tries to automatically find the best location to put the descriptive
statistics givx. Defaults to digits = 2.x should be transformed using the
Box-Cox family of power transformations. The estimated lambda value of the
Box-Cox transform is printed in the console. It is set to zero when negative.
Defaults tocol = c("lightgray", "black").col = c(1, 1).lty = "dashed".xlim based on the density plot.ylim based both histogram and density plot."trellis". The update.trellis
method can be used to update components of the object and the
print.trellis print method (usually called by default)
will plot it on an appropriate plotting device.histogram,
densityplot, panel.mathdensity,
powerTransform and bcPower to obtain more
details about the main functions used to built plotHD.histogram, densityplot,
panel.mathdensity, powerTransform,
bcPowerx <- rnorm(100, 10, 2)
plotHD(x, HD = "stack")
plotHD(x, HD = "over")Run the code above in your browser using DataLab