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R语言 cellHTS2包 getMeasureRepAgreement()函数中文帮助文档(中英文对照)

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发表于 2012-2-25 14:16:09 | 显示全部楼层 |阅读模式
getMeasureRepAgreement(cellHTS2)
getMeasureRepAgreement()所属R语言包:cellHTS2

                                        Measures of agreement between plate replicates from a cellHTS object
                                         板之间的协议复制从cellHTS对象的措施

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

Calculate the agreement between plate replicates using raw data or normalized data stored in a  cellHTS object.  This function calculates the repeatability standard deviation between replicate plates and the correlation coefficient between replicates. If there are more than 2 replicates, the minimum and maximum correlation between replicates is given. These measures are calculated only for sample wells.
计算板之间的协议,重复使用的原始数据或规范化的数据存储在一个cellHTS对象。此函数计算重复性标准偏差之间的复制板和相关系数之间的复制。如果有超过2个重复,最低和最高之间复制相关。这些措施只计算sample井。


用法----------Usage----------


getMeasureRepAgreement(x, corr.method = "spearman")



参数----------Arguments----------

参数:x
a configured cellHTS object. See details.
配置的cellHTS对象。查看详情。


参数:corr.method
a character string indicating which correlation coefficient should be computed. Can be either "pearson", "kendall" or "spearman" (default). The correlation is calculated by calling the function  cor.
一个字符串,表示应计算相关系数。可无论是“培”,“肯德尔”或“矛”(默认)。相关的计算方法,通过调用函数cor。


Details

详情----------Details----------

Given an already configured cellHTS object (state(x)[["configured"]]=TRUE), this function calculates the repeatability standard deviation between replicate plates and the correlation coefficient between plate replicates using only the sample wells. If there are more than 2 replicates, the minimum and maximum correlation value between pairs of replicates are given.
鉴于已配置的cellHTS对象(state(x)[["configured"]]=TRUE),此函数计算的重复性标准偏差之间的复制板和板之间的相关系数重复使用sample井。如果有超过2个重复,最低和最高之间对相关值重复给出。

These measures are calculated using the data values stored in slot assayData of the x.
这些措施正在使用的数据存储在插槽assayDatax值计算。

For a given plate p, the repeatability standard deviation is determined as the square root of the average of  the squared standard deviations (sr) calculated for each sample well k by considering the measurement of all of the replicates:
对于一个给定板p,重复性标准偏差平方根的平均平方偏差(sr)计算出每个样品k考虑的测量标准被确定为所有的复制:

where n_{k} is the total number of sample probes for plate p.
n_{k}板p总数的样品探针。


值----------Value----------

The function generates a list with elements:
函数生成的元素的列表:

"repStDev": matrix with the calculated repeatability standard deviation between plate replicates. It has dimensions nrPlates x nrChannels;
“repStDev”:与板之间的标准计算的可重复性差的矩阵复制。它的尺寸nrPlates x nrChannels;

"corrCoef" (if the number of replicates equals 2): matrix with the correlation coefficients between plate replicates. It has dimensions: nrPlates x nrChannels;
的“corrCoef”(如果重复次数等于2):与板之间的相关系数矩阵复制。它的尺寸:nrPlates x nrChannels;

"corrCoef.min" (if the number of replicates is greater than 2): matrix with the minimum value of the correlation coefficients between plate replicates. It has dimensions nrPlates x nrChannels;
的“corrCoef.min”(如果重复次数大于2):与板之间的相关系数最低值矩阵复制。它的尺寸nrPlates x nrChannels;

"corrCoef.max" (if the number of replicates is greater than 2): matrix with the maximum value of the correlation coefficients between plate replicates. It has dimensions nrPlates x nrChannels.
的“corrCoef.max”(如果重复次数大于2):与板之间的相关系数最高值矩阵复制。它尺寸nrPlates x nrChannels。


作者(S)----------Author(s)----------


Ligia Bras <a href="mailto:ligia@ebi.ac.uk">ligia@ebi.ac.uk</a>



参考文献----------References----------



参见----------See Also----------

configure,  writeReport
configure,writeReport


举例----------Examples----------


    data(KcViabSmall)
    repAgree <- getMeasureRepAgreement(KcViabSmall)
    x <- normalizePlates(KcViabSmall, scale="multiplicative", log=FALSE, method="median", varianceAdjust="none")
    repAgree <- getMeasureRepAgreement(x)

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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