Estimates the Kuchnost precision measure. The maximum distance to the group center after removing outliers.
getKuchnost(xy, dstTarget, conversion,
center = FALSE, doRob = FALSE, strict = FALSE)# S3 method for data.frame
getKuchnost(xy, dstTarget, conversion,
center = FALSE, doRob = FALSE, strict = FALSE)
# S3 method for default
getKuchnost(xy, dstTarget, conversion,
center = FALSE, doRob = FALSE, strict = FALSE)
A list with 3 components.
The Kuchnost precision measure.
Indices of outliers, if any.
group center after removing outliers
either a numerical (n x p)-matrix with the coordinates of n points (1 row of p coordinates per point), or a data frame with either the variables x, y or point.x, point.y (optionally z or point.z).
a numerical value giving the distance to the target - used in MOA calculation. Acts as override if variable distance is already included in xy. See getMOA.
how to convert the measurement unit for distance to target to that of the (x,y)-coordinates in MOA calculation. Acts as override if variables dist.unit and point.unit are already included in xy. Example 'm2cm'. See getMOA.
logical: center groups to mean (0,0) first? If variable series does not exist, all shots are treated as belonging to the same group. Only available in method getCEP.data.frame().
logical: use robust estimation of center and covariance matrix as basis for estimators?
logical: enable check that xy contains exactly 4 shots.
An outlier is defined as a shot that is at least 2.5 times further away from the group center defined by all remaining shots compared to the maximum distance to center of those shots themselves.
covMcd