Hanging rootogram for normal distribution
Description
Create a hanging rootogram for a quantitative numeric vector and compare it to a Gaussian distribution.
Usage
1 2 3 4 
Arguments
x 
a numeric vector of values for which the rootogram is desired 
breaks 
Either the character string ‘Sturges’ to use Sturges' algorithm to decide the number of breaks or a positive integer that sets the number of breaks. 
type 
if 
scale 
The type of transformation. Defaults to 
zeroline 
logical; if 
linecol 
The color of the density line for the normal distribution.
The default is to make a 
rectcol 
a colour to be used to fill the bars. The default of

xlab, ylab 
plot labels. The 
yaxt 
Should y axis text be printed. Defaults to 
ylim 
the range of y values with sensible defaults. 
mu 
the mean of the Gaussian distribution. Defaults to the sample mean
of 
s 
the standard deivation of the Gaussian distribution. Defaults to
the sample std.dev. of 
gap 
The distance between the rectangles in the histogram. 
... 
further arguments and graphical parameters passed to

Details
The mean and standard deviation of the Gaussian distribution are calculated
from the observed data unless the mu
and s
arguments are
given.
Value
Returns a vector of counts of each bar. This may be changed in the future. The plot is the primary output of the function.
Author(s)
Claus Ekstrom claus@rprimer.dk
References
Tukey, J. W. 1972. Some Graphic and Semigraphic Displays. In Statistical Papers in Honor of George W. Snedecor, p. 293316.
Examples
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