Description Usage Arguments Value Author(s)
Fits a standard ellipse to bivariate data analytically using maximum likelihood estimators.
1 | standard.ellipse(x,y,confs=NULL,steps=5)
|
x |
Vector of x data. |
y |
Vector of y data. |
confs |
Optional list of confidence intervals as a vector. If specified will calculate the confidence intervals of the means and store their coordinates in a list (useful for plotting). Defaults to Null. |
steps |
A visual rendering option that sets the number of step-size and hence resolution of the points used to draw the lines defining the ellipses. The larger the value, the more angular the ellipses will appear. |
CEA |
The area of the 95 percent confidence ellipse. |
SEA |
The area of the standard ellipse. |
SEAc |
The area of the small sample size corrected standard ellipse. |
theta |
The angle of the semi-major axis of the ellipse with the x-axis. |
confs |
list of the confidence intervals of the mean, if speficied. |
xCEA |
x coordinates of the confidence ellipses. |
yCEA |
y coordinates of the confidence ellipses. |
xSEA |
x coordinates of the standard ellipse. |
ySEA |
y coordinates of the standard ellipse. |
xSEAc |
x coordinates of the small sample size corrected standard ellipse. |
ySEAc |
y coordinates of the small sample size corrected standard ellipse. |
eccentricity |
Eccentricity of the ellipse |
a |
The length of the semi-major axis a |
b |
The length of the semi-minor axis a |
r |
The correlation coefficient of the data |
ac |
The length of the semi-major axis a based on the small sample size correction. |
bc |
The length of the semi-minor axis b based on the small sample size correction. |
Andrew Jackson
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