anovaint(OLIN)
anovaint()所属R语言包：OLIN
One-factorial ANOVA assessing intensity-dependent bias
单因素方差分析评估强度依赖偏见
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function performs an one-factorial analysis of variance assessing intensity-dependent bias for a single array. The predictor variable is the average logged intensity of both channels
执行此功能的评估为一个单一的阵列方差依赖强度的偏见的一个因素分析。预测变量是记录的两个通道的平均强度
用法----------Usage----------
anovaint(obj,index,N=10)
参数----------Arguments----------
参数：obj
object of class “marrayRaw” or “marrayNorm”
对象类的“marrayRaw”或“marrayNorm”
参数：index
index of array to be tested
数组索引进行测试
参数：N
number of (intensity) levels for ANOVA
数量（强度）的方差水平
Details
详情----------Details----------
The function anovaint performs a one-factorial ANOVA for objects of class “marrayRaw” or “marrayNorm”. The predictor variable is the average logged intensity of both channels A=0.5*(log2(Ch1)+log2(Ch2)). Ch1,Ch2 are the fluorescence intensities of channel 1 and channel 2, respectively. The response variable is the logged fold-change M=(log2(Ch2)-log2(Ch1)). The A-scale is divided in N intervals generating N levels of factor A. Note that N should divide the total number of spots approx. equally. The null hypothesis is the equality of mean(M) of the different levels (intervals). The model formula used is M ~ (A - 1) (without an intercept term).
功能anovaint执行一个对象类的“marrayRaw”或“marrayNorm”单因子变异数分析。预测变量是两个通道A=0.5*(log2(Ch1)+log2(Ch2))记录的平均强度。 Ch1,Ch2通道1和通道2的荧光强度分别。响应变量是记录折变M=(log2(Ch2)-log2(Ch1))。在A间隔生成N水平的因素NA规模划分。请注意，N应划分点总数约。同样。零假设是平等的不同层次的mean(M)（间隔）。使用该模型公式是M ~ (A - 1)（无截距项）。
值----------Value----------
The return value is a list of summary statistics of the fitted model as produced by summary.lm. For example, the squared multiple correlation coefficient R-square equals the proportion of the variation of M that can be explained by the variation of A (based on the chosen
返回值是一个由summary.lm生产的拟合模型的汇总统计列表。例如，平方复相关系数R-square等于变异的比例M可以由A（根据所选择的变化解释
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----------
anova, summary.lm,
anova，summary.lm
举例----------Examples----------
# CHECK RAW DATA FOR INTENSITY-DEPENDENT BIAS[检查依赖强度偏见的RAW数据]
data(sw)
print(anovaint(sw,index=1,N=10))
# CHECK DATA NORMALISED BY OLIN FOR INTENSITY-DEPENDENT BIAS[检查奥林正规化依赖强度偏见的数据]
data(sw.olin)
print(anovaint(sw.olin,index=1,N=10))
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 08:18:18
