norm2d(nudge)
norm2d()所属R语言包：nudge
Function for normalizing the mean and variance of average-across-replicates log ratio differences
功能标准化的均值和方差平均的跨越，复制记录比例差异
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This normalization is used when the two samples (control and treatment, say) are not being directly compared on the slides but instead are being compared to a common reference sample. The quantity of interest for each gene is thus the average difference between control and treatment log ratios. This function performs a robust normalization of the variance of the (mean normalized) average-across-replicates log ratio differences by scaling the (mean normalized) average-across-replicates log ratio difference for each gene either by the standard deviation of the log ratio differences for that gene across replicates (if bigger than the absolute (mean normalized) average-across-replicates log ratio difference) or scaling by a constant (a quantile of the distribution of standard deviations of (mean normalized) average-across-replicates log ratio differences for all genes whose standard deviation was bigger than their absolute (mean normalized) average-across-replicates log ratio difference.
这个标准化是用来当两个样本（控制和治疗，说）没有直接上的幻灯片相比，但取而代之的是一个共同的参考样本进行比较。因此，利息每一个基因的数量是控制和治疗的log比率之间的平均差异。此功能执行方差强劲的标准化（平均归）平均跨按比例复制的log比差异（平均归一化）平均全面复制loglog比标准偏差为每个基因的比例差异跨越复制基因（差异大于绝对（平均归一化）平均跨数比差）由一个常数或缩放（标准偏差的分布的分位数（标准化）平均跨复制log复制比例差异的所有基因，其标准差是比他们的绝对大（平均归一化）平均全面复制log的比例差异。
用法----------Usage----------
norm2d(control.logratio, txt.logratio, control.logintensity, txt.logintensity,
span = 0.6, quant = 0.99)
参数----------Arguments----------
参数：control.logratio
A multiple-column matrix of replicates of log (base 2) ratios of gene expressions for the control versus reference slides.
一个多列的矩阵复制log（基数为2）基因表达与参考幻灯片的控制比例。
参数：txt.logratio
A multiple-column matrix of replicates of log (base 2) ratios of gene expressions for the treatment versus reference slides.
一个多列的矩阵复制log（基数为2）基因表达的治疗与参考幻灯片比例。
参数：control.logintensity
A multiple-column matrix of replicates of log (base 2) total intensities (defined as the product) of gene expressions for the control versus reference slides.
一个多列的矩阵复制log（基数为2）总强度与参考幻灯片控制基因表达（定义为产品）。
参数：txt.logintensity
A multiple-column matrix of replicates of log (base 2) total intensities (defined as the product) of gene expressions for the treatment versus reference slides.
一个多列的矩阵复制log（基数为2）（定义为产品）的基因表达，为治疗与参考幻灯片的总强度。
参数：span
Proportion of data used to fit the loess regression of the average-across-replicates log ratio differences on the average-across-replicates log intensities.
适合局部加权回归用于数据的比例平均全面复制log比平均的跨越，复制log强度差异。
参数：quant
Quantile to be used from the distribution of standard deviations of log ratio differences across replicates for all genes whose standard deviation was smaller than their absolute (mean normalized) average-across-replicates log ratio difference.
位数分布的标准偏差log的比例差异跨重复基因，其标准偏差小于绝对（平均归一化）平均全面复制log的比例差异。
值----------Value----------
A vector of mean and variance normalized average-across-replicates log ratio differences.
一个向量的均值和方差归平均全面复制log的比例差异。
作者（S）----------Author(s)----------
N. Dean and A. E. Raftery
参考文献----------References----------
参见----------See Also----------
norm2c,norm1a,norm1b,norm1c,norm1d
norm2c，norm1a，norm1b，norm1c，norm1d
举例----------Examples----------
apo<-read.csv("http://www.stat.berkeley.edu/users/terry/zarray/Data/ApoA1/rg_a1ko_morph.txt",
header=TRUE)
rownames(apo)<-apo[,1]
apo<-apo[,-1]
apo<-apo+1
lRctl<-log(apo[,c(seq(2,16,2))],2)-log(apo[,c(seq(1,15,2))],2)
lRtxt<-log(apo[,c(seq(18,32,2))],2)-log(apo[,c(seq(17,31,2))],2)
lIctl<-log(apo[,c(seq(2,16,2))],2)+log(apo[,c(seq(1,15,2))],2)
lItxt<-log(apo[,c(seq(18,32,2))],2)+log(apo[,c(seq(17,31,2))],2)
lRnorm<-norm2d(lRctl,lRtxt,lIctl,lItxt)
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 2012-2-26 07:57:14
