Returns range statistics: extreme spread, figure of merit, bounding box diagonal, each with corresponding confidence interval (CI). CI assumes a circular bivariate normal shot distribution with 0 mean, and all shots from the same group.
getRangeStat(xy, dstTarget, conversion, CIlevel=0.95)# S3 method for data.frame
getRangeStat(xy, dstTarget, conversion, CIlevel=0.95)
# S3 method for default
getRangeStat(xy, dstTarget, conversion, CIlevel=0.95)
A named list with first component range_stat
. This is a matrix with columns ES
(extreme spread), FoM
(figure of merit), D
(bounding box diagonal). The second component CI
gives the corresponding confidence interval boundaries as a named list with components ES
, FoM
, D
.
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
.
a numerical value with the coverage for the confidence interval.
Range stat CIs only available if data contains at most as many shots as tabulated in DFdistr
.
Grubbs, F. E. (1964b). Statistical measures of accuracy for riflemen and missile engineers. Ann Arbor, ML: Edwards Brothers.
getMaxPairDist
,
getBoundingBox