computeSlidingT(Ringo)
computeSlidingT()所属R语言包：Ringo
Function to compute sliding T statistics on a tiling expression set
函数来计算上的瓦片表达组的滑动T统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Function to compute sliding (regularized) one- or two-sample T statistics on a tiling expression set.
函数来计算滑动（正规化）或双样本t统计上平铺表达集。
用法----------Usage----------
computeSlidingT(xSet, probeAnno, allChr = c(1:19, "X", "Y"), test = "one.sample", grouping = NULL, winHalfSize = 400, min.probes = 5, checkUnique = TRUE, uniqueCodes = c(0), verbose = TRUE)
参数----------Arguments----------
参数：xSet
Object of class ExpressionSet holding the normalized probe intensity data
对象类ExpressionSet控股归探针强度数据
参数：probeAnno
Environment holding the genomic positions of probes in the ExpressionSet
环境在ExpressionSet举行探针基因的位置
参数：allChr
Character vector of all chromosomes in genome
基因组中的所有染色体的特征向量
参数：test
character; one of one.sample or two.sample
性格;一个one.sample或two.sample
参数：grouping
factor vector of length equal to number of samples, not required if test=one.sample
如果test=one.sample因素向量的长度等于样本数，不需要
参数：winHalfSize
Half the size of the window centered at a probe position, in which all other probes contribute to the calculation of the mean and standard deviation.
在探针的位置，在所有其他探测器贡献的均值和标准差的计算为中心的窗口的一半大小。
参数：min.probes
integer; if less probes are in the sliding window, NA instead of the mean and sd is returned. This is meant to avoid to computing non-meaningful means and standard deviations. If unwanted, set this to 1 or less
整数;如果少探针在滑动窗口，那幺，而不是均值和SD返回。这是为了避免计算非有意义的方式和标准偏差。如果不需要，设置此量小于或等于1
参数：checkUnique
logical; indicates whether the uniqueness indicator of probe matches from the probeAnno environment should be used.
逻辑;指示是否应使用的探针匹配从probeAnno环境的独特性指标。
参数：uniqueCodes
numeric; which numeric codes in the chromosome-wise match-uniqueness elements of the probeAnno environment indicate uniqueness?
数字;染色体方面的比赛唯一的probeAnno环境的元素的数字代码表示独特性？
参数：verbose
logical; detailed progress output to STDOUT?
逻辑;详细的进度输出到STDOUT？
值----------Value----------
An object of class ExpressionSet, holding the T statistics values for the probes of the supplied ExpressionSet. The number of results samples is the number of levels in the supplied factor grouping.
一个类的对象ExpressionSet，控股为提供ExpressionSet探针的T统计值。结果样本的数量是附带的因素grouping水平。
作者（S）----------Author(s)----------
Joern Toedling
参见----------See Also----------
sliding.meansd
sliding.meansd
举例----------Examples----------
exDir <- system.file("exData",package="Ringo")
load(file.path(exDir,"exampleProbeAnno.rda"))
load(file.path(exDir,"exampleX.rda"))
tX <- computeSlidingT(exampleX, probeAnno=exProbeAnno,
allChr=c("9"), winHalfSize=400)
sampleNames(tX) <- "t-Stat_Suz12vsTotal"
if (interactive()){
grid.newpage()
plot(cbind2(exampleX, tX), exProbeAnno, chrom="9",
xlim=c(34318000,34321000), ylim=c(-2,8.5), gff=exGFF,
paletteName="Paired")
}
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 12:57:06
