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Getting-and-Cleaning-Data-Project:课程项目
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2021-06-10
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run_analysis 函数用于对 Università degli Studi di Genova 非线性复杂系统实验室获得的数据进行初始分析。 该函数首先提取有关以下方面的数据: • 活动 • 功能 • 测试数据(包含在 3 个文件中) • 训练数据(包含在 3 个文件中) 所有这些数据都包含在 .txt 文件中,而 read.table() 用于数据提取。 然后使用 cbind 和 rbind 将数据(现在存储为 R 中的数据帧)合并为一个大数据帧。 特征向量用于命名数据框中的列。 数据框中的活动从数字变量更改为描述性名称。 从大数据框中,现在与非均值和非标准偏差参数相关的所有列都被删除了。 最后,使用 ddply 折叠数据以查找同一活动的所有实例中每个主题的平均值。 生成的数据框存储为 .txt 文件。
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