groupSpread(shotGroups)
groupSpread()所属R语言包:shotGroups
Spread measures of a single group of bullet holes
传播的一个组的弹孔的措施
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Provides spread measures and their graphical representations for a single group of bullet holes.
提供的传播措施和他们的图形表示一个组的弹孔。
用法----------Usage----------
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:plots
a logical value indicating whether diagrams should be shown.
一个逻辑值,该值指示是否应显示图表。
参数:level
a numerical value giving the coverage for the confidence ellipse.
一个数值,给人的信心椭圆形的覆盖范围。
参数:dstTarget
a numerical value giving the distance to the target in MOA calculation. See getMOA.
给予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----------
Robust estimate for the covariance matrix of (x,y)-coordinates is from covMcd using the MCD algorithm. <br> In addition to the numerical results listed below, this function produces the following diagrams:
稳健估计的协方差矩阵(X,Y)坐标是从covMcd使用MCD算法。 <br>在下面列出的数值结果,此功能会产生以下图表:
a scatterplot of the (x,y)-coordinates together with group center, circle with average distance to center, and 100*level%-confidence ellipse - the latter also based on a robust estimate for the covariance matrix
*level%的信心椭圆的散点图(X,Y)坐标连同组中心,圆中心的平均距离,100 - 后者也是基于一个强大的协方差矩阵的估计
a scatterplot of the (x,y)-coordinates together with the minimum bounding box, minimum enclosing circle, and maximum group spread
(X,Y)的散点图坐标的最小边界框,最小封闭圆的,最大群传播
a histogram for distances to group center including a nonparametric kernel density estimate
包括非参数核密度估计的直方图组中心的距离
值----------Value----------
A list with the results from the numerical analyses and statistical tests.
一个列表,从数值分析和统计检验的结果。
参数:sdXY
standard deviations of x- and y coordinates (in original measurement units and MOA).
的x坐标和y坐标的标准偏差(在原始测量单元和MOA)。
参数:CIsdXY
parametric 95%-confidence interval for the standard deviations of x- and y coordinates (in original measurement units).
参数的95%置信区间为x和y坐标的标准偏差的(原始测量单元)。
参数:sdXYrob
robust standard deviations of x- and y-coordinates (in original measurement units and MOA).
鲁棒的x坐标和y坐标的标准偏差(在原始测量单元和MOA)。
参数:covXY
covariance matrix of (x,y)-coordinates.
协方差矩阵为(x,y)的坐标。
参数:covXYrob
robust estimate of covariance matrix of (x,y)-coordinates.
鲁棒估计的协方差矩阵(的x,y)坐标。
参数:meanDistToCtr
average distance from points to their center (in original measurement units and MOA).
由点到中心的平均距离(在原测量单位和MOA)。
参数:maxPairDist
maximum pairwise distance between points (center-to-center, a.k.a. maximum spread, in original measurement units and MOA).
最大成对的点与点之间的距离(中心到中心,又名最大差价,在原始的测定单元和农业部)。
参数:groupRect
width and height of minimum bounding box (in original measurement units and MOA).
最小边界框的宽度和高度(在原始测量单元和MOA)。
参数:minCircleRad
radius for the minimum enclosing circle (in original measurement units and MOA).
的最小封闭圆的半径(在原测量单位和MOA)。
参数:confEll
length of semi-major and semi-minor axis of the confidence ellipse (in original measurement units and MOA).
置信椭圆半主要和半次要轴长度(在原始测量单元和MOA)。
参数:confEllRob
length of semi-major and semi-minor axis of the confidence ellipse based on a robust estimate for the covariance matrix (in original measurement units and MOA).
半主要和半小调基于一个健壮的协方差矩阵的估计值(在原始测量单元和MOA)的置信椭圆轴的长度。
参数:confEllShape
aspect ratio and flattening of the confidence ellipse.
纵横比和扁平化的置信椭圆。
参数:confEllShapeRob
aspect ratio and flattening of the confidence ellipse based on a robust estimate for the covariance matrix.
纵横比和一个健壮的基础上估计的协方差矩阵的置信椭圆的扁平化。
参数:CEPrand
modified RAND R-234 estimate for the circular error probable (CEP, in original measurement units and MOA).
改性兰德公司估计为R-234的圆概率误差(CEP,在原测量单位和MOA)。
参见----------See Also----------
getDistToCtr, getMaxPairDist, getMinBBox, getMinCircle, getConfEll, getCEP, getMOA, hist, kernel, covMcd,
getDistToCtr,getMaxPairDist,getMinBBox,getMinCircle,getConfEll,getCEP,getMOA,hist,kernel,covMcd,
实例----------Examples----------
xy <- matrix(round(rnorm(200, 0, 5), 2), ncol=2)
res <- groupSpread(xy, level=0.5, dstTarget=25, conversion='m2cm')
names(res)
res$sdXYrob
res$meanDistToCtr
res$maxPairDist
res$CEPrand
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。
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