sig.mask(OLIN)
sig.mask()所属R语言包：OLIN
Masking of data based on significance testing
屏蔽数据的基础上显着性检验
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function sets data to NA if the corresponding spots have significantly biased
此功能设置数据为NA如果相应的斑点已经明显偏向
用法----------Usage----------
sig.mask(object,Sp,Sn,thrp,thrn)
参数----------Arguments----------
参数：object
object of class marrayRaw or marrrayNorm
对象的类marrayRaw或marrrayNorm
参数：Sp
list of vectors of false discovery rate or p-values for positive deviation of median/mean of \code{M} as produced by fdr.int2, p.int2, fdr.spatial2 or p.spatial2.
虚假的发现率或为正偏差median/mean of \code{M}fdr.int2, p.int2, fdr.spatial2或p.spatial2生产的p-值的向量列表。
参数：Sn
list vector of false discovery rate or p-values for negative deviation of median/mean of \code{M} as produced by fdr.int2, p.int2, fdr.spatial2 or p.spatial2.
虚假的发现率或为负偏差median/mean of \code{M}fdr.int2, p.int2, fdr.spatial2或p.spatial2生产的P-值的列表向量。
参数：thrp
vector of thresholds for significance of positive deviation (Sp)
正偏差意义的阈值向量（Sp）
参数：thrn
vector of thresholds for significance of negative deviation (Sn)
矢量阈值的负偏差的意义（Sn）
Details
详情----------Details----------
This function can be used for the masking of data that has been decided to be unrelaible after the application of significance test for intenstiy- and location dependent dye bias (e.g. p.int2, fdr.int2,
此功能可用于已决定后的显着性检验应用的intenstiy和位置取决于染料偏见unrelaible数据屏蔽（例如<code> p.int2，fdr.int2
作者（S）----------Author(s)----------
Matthias E. Futschik (<a href="http://itb.biologie.hu-berlin.de/~futschik">http://itb.biologie.hu-berlin.de/~futschik</a>)
参见----------See Also----------
sigint.plot, fdr.int, p.int, sigxy.plot,
sigint.plot，fdr.int，p.int，sigxy.plot
举例----------Examples----------
# To run these commands, delete comment sign (#) ![要运行这些命令，删除注释符号（＃）！]
#[]
# LOADING DATA[加载数据]
# data(sw)[数据（SW）]
# []
# MASKING REGIONS WITH SPATIAL DYE BIAS[美纹纸空间染料偏见区域]
# []
# CALCULATION OF SIGNIFICANCE OF SPOT NEIGHBOURHOODS[作者：现货，邻里意义的计算]
# For this example, N was chosen rather small. For "real" analysis, it should be larger.[对于这个例子，N的选择相当小。 “真实”的分析，它应该更大。]
# FDR <- fdr.spatial2(sw,delta=2,N=10,av="median",edgeNA=FALSE)[FDR< - fdr.spatial2（SW，δ= 2，N = 10，，AV =“中位数”，edgeNA = FALSE时）]
#[]
# VISUALISATION[可视化]
# sigxy.plot2(sw[,1],FDR$FDRp[[1]],FDR$FDRn[[1]],color.lim=c(-5,5),main="FDR")[sigxy.plot2（SW [1]，FDR$ FDRp [1]，FDRFDRn [1]，color.lim = C（-5,5），主要=“FDR”）]
# []
# MASKING SIGNIFICANT NEIGHBOURHOODS[屏蔽主要邻里]
# thresp <- c(0.01,0.01,0.01,0.01)[thresp < - C（0.01,0.01,0.01,0.01）]
# thresn <- c(0.01,0.01,0.01,0.01)[thresn < - C（0.01,0.01,0.01,0.01）]
# sw.masked <- sig.mask(sw,Sp=FDR$FDRp,Sn=FDR$FDRn,thrp=thresp,thrn=thresn)[< - sig.mask sw.masked（thrn = thresn thrp = thresp，SW，SP = FDR $ FDRp，SN =FDR美元FDRn）]
# mxy.plot(sw.masked[,4]) # plot masked data for array 4[mxy.plot（sw.masked [4]）＃图掩盖的数据阵列4]
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 08:23:01
