normalizeQuantileRank.matrix(aroma.light)
normalizeQuantileRank.matrix()所属R语言包：aroma.light
Weighted sample quantile normalization
加权样本位数标准化
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Normalizes channels so they all have the same average sample distributions.
规范化的渠道，因此它们都具有相同的平均样本分布。
The average sample distribution is calculated either robustly or not by utilizing either weightedMedian() or weighted.mean(). A weighted method is used if any of the weights are different from one.
平均样本分布，计算出强劲或不利用或者weightedMedian()或weighted.mean()。如果是从一个不同的权重，使用A加权的方法。
用法----------Usage----------
参数----------Arguments----------
参数：X
a numerical NxK matrix with the K columns representing the channels and the N rows representing the data points.
数值NxK matrix代表的渠道和N行表示数据点的K列。
参数：robust
If TRUE, the (weighted) median function is used for calculating the average sample distribution, otherwise the (weighted) mean function is used.
TRUE如果，（加权）中位数的功能是用于计算平均样本分布，否则（加权）平均函数使用。
参数：ties
Should ties be specially treated or not?
关系应该被特别处理或不呢？
参数：weights
If NULL, non-weighted normalization is done. If channel weights, this should be a vector of length K specifying the weights for each channel. If signal weights, it should be an NxK matrix specifying the weights for each signal.
如果NULL，非加权标准化完成。如果渠道重量，这应该是vector的长度K指定为每个通道的权重。如果信号的权重，它应该是一个NxKmatrix指定每个信号的权重。
参数：typeOfWeights
A character string specifying the type of weights given in argument weights.
一个character字符串，指定类型参数weights给定的权重。
参数：...
Not used.
不使用。
值----------Value----------
Returns an NxK matrix.
返回一个NxKmatrix。
遗漏值----------Missing values----------
Missing values are excluded when estimating the "common" (the baseline) distribution. Values that are NA before remain NA. No new NAs are introduced.
缺失值估计“共同”（基线）分布时被排除。 NA之前保持NA值。没有新的NA的介绍。
重量----------Weights----------
Currently only channel weights are support due to the way quantile normalization is done. If signal weights are given, channel weights are calculated from these by taking the mean of the signal weights in each channel.
目前唯一通道权的支持，由于位数标准化方式。如果信号重量，通道权从这些计算，平均每个通道的信号重。
作者（S）----------Author(s)----------
Adopted from Gordon Smyth (<a href="http://www.statsci.org/">http://www.statsci.org/</a>) in 2002 \& 2006.
Original code by Ben Bolstad at Statistics Department, University of
California.
Support for calculating the average sample distribution using (weighted)
mean or median was added by Henrik Bengtsson (<a href="http://www.braju.com/R/">http://www.braju.com/R/</a>).
参见----------See Also----------
median, weightedMedian(), mean() and weighted.mean. *normalizeQuantileSpline().
median，weightedMedian（）mean（）weighted.mean。 *normalizeQuantileSpline()。
举例----------Examples----------
# Simulate three samples with on average 20% missing values[模拟与平均20％的缺失值的三个样本]
N <- 10000
X <- cbind(rnorm(N, mean=3, sd=1),
rnorm(N, mean=4, sd=2),
rgamma(N, shape=2, rate=1))
X[sample(3*N, size=0.20*3*N)] <- NA
# Normalize quantiles[标准化位数]
Xn <- normalizeQuantile(X)
# Plot the data[绘制数据]
layout(matrix(1:2, ncol=1))
xlim <- range(X, Xn, na.rm=TRUE);
plotDensity(X, lwd=2, xlim=xlim, main="The three original distributions")
plotDensity(Xn, lwd=2, xlim=xlim, main="The three normalized distributions")
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 2012-2-25 12:06:06
