R语言 nlcv包 nlcvData()函数中文帮助文档(中英文对照)

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nlcvData(nlcv)
nlcvData()所属R语言包：nlcv

                                        Simulated Datasets to Demonstrate nlcv Functionality
                                         模拟实验演示nlcv功能

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Four different datasets were simulated using different types and strengths of signal. For each of these datasets a nested loop  cross validation procedure is run using each of random forest and t test feature selection.
四种不同的数据集进行了模拟使用不同类型和信号强度。对于每个数据集嵌套循环交叉验证正在运行的程序使用随机森林和t检验功能选择。


用法----------Usage----------


data(nlcvRF_R)



格式----------Format----------

The given data sets are delivered in the form of objects of class nlcv as produced by the nlcv function
类对象的形式交付给定的数据集nlcv生产nlcv功能


Details

详情----------Details----------

The objects were created using the code given in the examples  section.
使用的例子一节中给出的代码创建的对象。


举例----------Examples----------


## Not run: [＃无法运行：]
### create datasets[＃创建数据集]
set.seed(415)
EsetStrongSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 10,
    nNoEffectCols = 0, betweenClassDifference = 2, withinClassSd = 0.5)
EsetWeakSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 5,
    nNoEffectCols = 0, betweenClassDifference = 1, withinClassSd = 0.6)
EsetWeakHeteroSignal <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 5,
    nNoEffectCols = 5, betweenClassDifference = 1, withinClassSd = 0.6)
EsetRandom <- simulateData(nCols = 40, nRows = 1000, nEffectRows = 0,
    nNoEffectCols = 0)

### run nested loop cross validation[＃运行嵌套循环交叉验证]
nlcvRF_SS <- nlcv(EsetStrongSignal, classVar = "type", nRuns = 10,
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_SS <- nlcv(EsetStrongSignal, classVar = "type", nRuns = 10,
    fsMethod = "t.test", verbose = TRUE)
nlcvRF_WS <- nlcv(EsetWeakSignal, classVar = "type", nRuns = 10,
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_WS <- nlcv(EsetWeakSignal, classVar = "type", nRuns = 10,
    fsMethod = "t.test", verbose = TRUE)
nlcvRF_WHS <- nlcv(EsetWeakHeteroSignal, classVar = "type", nRuns = 10,
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_WHS <- nlcv(EsetWeakHeteroSignal, classVar = "type", nRuns = 10,
    fsMethod = "t.test", verbose = TRUE)
nlcvRF_R <- nlcv(EsetRandom, classVar = "type", nRuns = 10,
    fsMethod = "randomForest", verbose = TRUE)
nlcvTT_R <- nlcv(EsetRandom, classVar = "type", nRuns = 10,
    fsMethod = "t.test", verbose = TRUE)

## End(Not run)[＃结束（不运行）]

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注：
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