sim.singleChannel(snm)
sim.singleChannel()所属R语言包：snm
Simulate data from a single channel microarray experiment
从一个单一的通道芯片实验模拟数据
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Simulates single channel data used as an example for snm function call.
模拟单通道数据作为SNM函数调用的例子使用。
用法----------Usage----------
sim.singleChannel(seed)
参数----------Arguments----------
参数：seed
Numeric value used to seed random number generator.
用于种子随机数发生器的数值。
Details
详情----------Details----------
Simulated data set influenced by a single probe-specific biological, two probe-specific adjustment variables, and intensity-dependent array effects. Data were simulated for a total of 25,000 probes and 50 arrays. The biological variable is a dichotomous variable specifying two groups (Group 1 and Group 2), with 25 arrays sampled from each group. The dichtomous probe-specific adjustment variables has 5 different levels and mimics a batch effect. The 5 batches each contain 10 samples, and are balanced with respect to the biological grouping factor. The continuous probe-specific adjustment variable is sampled from a Normal(1,0.1) and mimics an age effect. The baseline probe intensities were sampled from a chi(1,2) distribution. Any baseline intensities greater than 15 were set to a random value from the interval [15,16]. The random variation terms were sampled from a Normal(0,0.25) and the array functions were defined by randomly sampling coefficients for a two-dimensional B-spline basis functions from a Normal(0,1).
模拟数据集由一个单一的特异性探针的生物，两个探针的具体调整变量的影响，依赖强度阵列影响。共有25000探针和50阵列的数据模拟。生物变量是一个二分变量指定两组（第1组和2组），每组25阵列采样。探针具体调整变量的dichtomous有5个不同层次和模仿批次的效果。 5批次每一个包含10个样本，并与生物分组因素的平衡。从一个普通的（1,0.1）连续采样探针具体调整变量和模仿的年龄效应。从智（1,2）分布进行抽样基线探针强度。任何基线强度大于15设置一个随机值从区间[15,16]。从正常（0,0.25）随机变化的条款进行抽样和随机抽样为一个二维的B样条基函数从一个正常的（0,1）的系数被定义数组函数。
Randomly selected subsets of 30%, 10%, and 20% of the probes were defined as influenced by the biological groups, batch, and age variables, respectfully. The magnitude of the biological effects were sampled from a Normal(1,0.3) distribution, the probe-specific batch effects from a Normal(0,0.3) and the probe-specific age effects from a Normal(1,0.1). An instance of this simulated data can be generated using the code in the examples section below.
被定义为随机选取的30％，10％，20％的探针亚群影响的生物群体，一批，年龄变量，恭敬地。从正常（1,0.3）的分布，从一个正常的（0,0.3）探测特定批次的效果，并从一个正常的探针（1,0.1）特定年龄影响的生物效应的大小进行抽样。此模拟数据的一个实例可以生成下面的示例一节中使用的代码。
值----------Value----------
参数：<code>raw.data</code>
a 25,000 by 50 matrix of simulated data generated according to the description above.
根据上面的描述矩阵生成的模拟数据25,000 50。
参数：<code>true.nulls</code>
a vector of indices corresponding to the rows in raw.data of the probes unaffected by the biological variable of interest
指数相应利益的生物变量探针不受影响raw.data行向量
参数：<code>bio.var</code>
a model matrix of the biological variable of interest.
对生物的兴趣变量的模型矩阵。
参数：<code>adj.var</code>
a model matrix of the adjustment variables
一个调整变量的模型矩阵
参数：<code>int.var</code>
a data frame of the intensity-dependent adjustment variables
一个数据框依赖强度调整变量
作者（S）----------Author(s)----------
Brig Mecham <brig.mecham@sagebase.org>
参见----------See Also----------
snm, sim.doubleChannel, sim.preProcessed, sim.refDesign
snm，sim.doubleChannel，sim.preProcessed，sim.refDesign
举例----------Examples----------
## Not run: [＃无法运行：]
singleChannel <- sim.singleChannel(12345)
snm.obj <- snm(singleChannel$raw.data,
singleChannel$bio.var,
singleChannel$adj.var,
singleChannel$int.var)
ks.test(snm.obj$pval[singleChannel$true.nulls],"punif")
## End(Not run)[＃结束（不运行）]
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。
|
发表于 2012-2-26 14:37:48
