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R语言 shotGroups包 compareGroups()函数中文帮助文档(中英文对照)

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发表于 2012-9-30 01:56:43 | 显示全部楼层 |阅读模式
compareGroups(shotGroups)
compareGroups()所属R语言包:shotGroups

                                        Compare bullet hole groups
                                         比较弹孔组

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Numerically and graphically compares the distributions of up to 15 groups of bullet holes.
以数字和图形的分布也比较到15组弹孔。


用法----------Usage----------


              ABalt = c('two.sided', 'less', 'greater'),
              Walt = c('two.sided', 'less', 'greater'),



参数----------Arguments----------

参数:DF
a data frame containing (at least) these variables: Series (a factor), Distance, Aim.X, Aim.Ydefining point of aim, Point.X, and Point.Y defining the bullet holes.
一个数据框包含这些变量(至少):Series(factor),Distance,Aim.X,Aim.Y定义的瞄准点,<X >和Point.X定义的弹孔。


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:xyTopLeft
a logical value indicating whether the origin of the absolute coordinate system is in the top-left corner. This is the default for data exported by OnTarget PC/TDS.
一个逻辑值,该值指示是否是在左上角的绝对坐标系的原点。这是默认情况下,导出的数据由的ONTARGET PC / TDS。


参数:ABalt
a character string indicating the hypothesis for the Ansari-Bradley-Test for equal variances. Only used when exactly 2 groups are compared.
一个字符串,表示安萨里 - 布拉德利试验的方差相等的假设。仅只有2组进行比较时使用。


参数:Walt
a character string indicating the hypothesis for the Wilcoxon-Rank-Sum-Test for equality of average distance to group center (equivalent to the Mann-Whitney-U-Test). Only used when exactly 2 groups are compared.
一个字符串表示的Wilcoxon秩森平等的平均距离中心组(相当于采用Mann-Whitney U-测试)测试的假设。仅只有2组进行比较时使用。


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----------

OnTarget PC/TDS' Group variable identifies groups just within one file, whereas factor Series is taken to number groups also across different original files. If you only have one original file, you can just copy variable Groups to Series in your data frame. <br> <br> In addition to the numerical results listed below, this function produces the following diagrams:
的ONTARGET PC / TDSGroup变量确定群体只是在一个文件中,而因素Series数组还可以在不同的原始文件。如果你只有一个原始文件,你可以复制变量Groups到Series的数据框。此外<br> <br>在下面列出的数值结果,此功能会产生以下图表:

a scatterplot showing all groups, as well as their respective center and 50%-confidence ellipse
散点图显示所有的群体,以及他们各自的中心和50%的信心椭圆形

a scatterplot showing all groups, as well as their respective minimum bounding box, minimum enclosing circle, and maximum group spread
散点图显示所有的群体,以及他们各自的最小边界框,最小封闭圆的,和最大群体蔓延

a scatterplot showing all groups, as well as their respective minimum enclosing circle and circle with average distance to center
散点图显示所有的组,以及它们各自的最低封闭圆和圆的平均距离中心


值----------Value----------

A list with the results from numerical comparisons and statistical tests.
从数值上的比较和统计检验的结果列表。


参数:ctr
group centers relative to the respective point of aim.
组中心相对于各自的瞄准点。


参数:distPOA
distances from group centers to point of aim (in original measurement units and MOA).
组中心的距离的瞄准点(在原测量单位和MOA)。


参数:MANOVA
MANOVA result from testing equality of group centers (test statistic is Wilk's lambda).
MANOVA组中心(检验统计量是威尔克的lambda)平等的测试结果。


参数:corXY
group correlation matrices for the (x,y)-coordinates.
组相关矩阵的(x,y)的坐标。


参数:sdXY
group standard deviations for the x- and y-coordinates.
组的x坐标和y坐标的标准偏差。


参数:meanDistToCtr
average distances from points to their group centers (in original measurement units and MOA).
由点到组中心的平均距离(在原测量单位和MOA)。


参数:maxPairDist
maximum pairwise distance between points for each group (center-to-center, a.k.a. maximum spread, in original measurement units and MOA).
最大成对组的每个点之间的距离(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:groupWidth
width of minimum bounding box for each group (in original measurement units and MOA).
各组的最小边界框的宽度(在原测量单位和MOA)。


参数:groupHeight
height of minimum bounding box for each group (in original measurement units and MOA).
各组的最小边界框的高度(在原测量单位和MOA)。


参数:minCircleRad
radius for the minimum enclosing circle for each group (in original measurement units and MOA).
各组的最小封闭圆的半径(在原测量单位和MOA)。


参数:CEPrand
modified RAND R-234 estimate for the 50% circular error probable (CEP) in each group (in original measurement units and MOA).
改性兰德公司估计为50%的圆概率误差(CEP)各组(在原测量单位和MOA)R-234。


参数:AnsariX
Ansari-Bradley-Test result from testing equality of group variances for x-coordinates. When two groups are compared.
安萨里-Bradley的测试结果,从测试组差异平等的x坐标。当两个组进行了比较。


参数:AnsariY
Ansari-Bradley-Test result from testing equality of group variances for y-coordinates. When two groups are compared.
安萨里-Bradley的测试结果,从测试组差异平等的y坐标。当两个组进行了比较。


参数:Wilcoxon
Wilcoxon-Rank-Sum-Test result from testing equality of average point distances to their respective group center. When two groups are compared.
的Wilcoxon秩和测试结果,从测试的平均点各自的组中心的距离相等。当两个组进行了比较。


参数:FlignerX
Fligner-Killeen-Test result from testing equality of group variances for x-coordinates. When more than two groups are compared.
Fligner基林测试结果,从测试组差异平等的x坐标。当两个以上的组进行比较。


参数:FlignerY
Fligner-Killeen-Test result from testing equality of group variances for y-coordinates. When more than two groups are compared.
Fligner基林测试结果,从测试组差异平等的y坐标。当两个以上的组进行比较。


参数:Kruskal
Kruskal-Wallis-Test result from testing equality of average point distances to their respective group center. When more than two groups are compared.
秩和检验测试结果,从测试的平均点各自的组中心的距离相等。当两个以上的组进行比较。


参见----------See Also----------

combineData, analyzeGroup, getDistToCtr, getMaxPairDist, getMinBBox, getMinCircle, getCEP, getMOA, drawEllipse, anova.mlm, ansari_test, fligner_test, wilcox_test, kruskal_test
combineData,analyzeGroup,getDistToCtr,getMaxPairDist,getMinBBox,getMinCircle,getCEP,getMOA,<所述>,drawEllipse,anova.mlm,ansari_test,fligner_test,wilcox_test


实例----------Examples----------


data(DFinch)

# select only first 2 series[只选择第2系列]
DFsub <- subset(DFinch, Series %in% 2:3)
cmp   <- compareGroups(DFsub, conversion='yd2in')
names(cmp)
cmp$ctr
cmp$meanDistToCtr
cmp$CEPrand
cmp$Wilcoxon

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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