getCEP(shotGroups)
getCEP()所属R语言包：shotGroups
Circular error probable (CEP)
圆概率误差（CEP）
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Gives the Rayleigh and the modified RAND R-234 estimate for the circular error probable. CEP is defined as the radius of the circle to contain a certain fraction of points of impact.
给人的瑞利散射和修改后的RAND R-234的圆概率误差估计。 CEP被定义为圆的半径，以含有一定的冲击点的分数。
用法----------Usage----------
getCEP(xy, dstTarget = 25, conversion = 'm2cm')
参数----------Arguments----------
参数：xy
a numerical (n x 2)-matrix with the (x,y)-coordinates of n points (1 row of coordinates per point).
数值（为nx 2）矩阵的n个点（1行的每点的坐标）的（x，y）的坐标。
参数：dstTarget
a numerical value with the distance to the target in MOA calculation. See getMOA.
在氧化锌避雷器计算到目标的距离的数值。见getMOA。
参数：conversion
how to convert the measurement unit for distance to target to that of the (x,y)-coordinates in MOA calculation. See getMOA.
如何转换的测量单元，用于与目标距离的（x，y）的坐标计算中氧化锌避雷器。见getMOA。
Details
详细信息----------Details----------
The 50%-CEP estimate based on the Rayleigh distribution is a constant fraction of the mean distance to center. The modified RAND R-234 estimate for the 50%-CEP is a weighted sum of the square root of the eigenvalues of the covariance matrix of (x,y)-coordinates. These are the standard deviations of the two principal components of the data. For zero correlation and equal variances of x- and y-coordinates, the RAND estimate is very similar to the radius of the parametric 50%-confidence ellipse under the assumption of bivariate normality. The estimates for 90% and 95% are based on table 3 in the reference given below.
50％CEP基于瑞利分布的估计是一个固定比例的平均距离中心。的改性RAND R-234为50％-CEP估计的协方差矩阵的（x，y）的坐标的本征值的平方根的加权总和。这些是两个主要组成部分的数据的标准偏差。对于零相关性和方差相等的x和y坐标，兰德公司估计是非常相似的半径参数50％的信心椭圆形的假设下的二元常态。参考下面给出的表3中的基础上估算为90％和95％的中。
值----------Value----------
A list with the CEP estimates.
列表的CEP的估计。
参数：RAND
a numerical matrix with the modified RAND R-234 estimate for the CEP at levels 50%, 90%, and 95% (in original measurement units and MOA).
与改性RAND R-234为CEP估计的水平，50％，90％，和95％（在原始测量单元和MOA）的数值矩阵。
参数：Rayleigh
a numerical matrix with the Rayleigh estimate for the CEP at levels 50%, 90%, and 95% (in original measurement units and MOA).
瑞利估计为CEP的水平，50％，90％，和95％（在原测量单位和农业部）的数值矩阵。
参数：ellShape
a numerical vector with the aspect ratio and the flattening of the error ellipse.
数值的矢量误差椭圆的纵横比和平坦化。
注意----------Note----------
The Rayleigh approximation emerged under historical circumstances for ease of computation. The regular confidence ellipse as returned by getConfEll should be considered instead.
瑞利近似下出现的历史条件下，为便于计算。定期信心椭圆形返回getConfEll应考虑。
参考文献----------References----------
参见----------See Also----------
getConfEll
getConfEll
实例----------Examples----------
xy <- matrix(round(rnorm(100, 0, 5), 2), ncol=2)
(cep <- getCEP(xy, dstTarget=25, conversion='m2cm'))
# plot points, center and circles indicating 90%-CEP estimates[积点，中心和圆表示90％CEP的估计]
ctr <- colMeans(xy) # center point[中心点]
plot(xy, pch=16, asp=1)
drawCircle(ctr[1], ctr[2], cep$RAND["unit", "50%"], fg='blue')
drawCircle(ctr[1], ctr[2], cep$RAND["unit", "90%"], fg='green3')
points(ctr[1], ctr[2], pch=4, col="red", cex=2)
legend(x="bottomleft", legend=c("RAND 50", "RAND 90", "center"),
col=c("blue", "green3", "red"), lwd=c(2, 2, 2),
lty=c(1, 1, NA), pch=c(NA, NA, 4), bg="white")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-30 01:58:01
