使用正则表达式和nc包进行从宽到高的数据重塑

R J. Pub Date : 2021-01-01 DOI:10.32614/rj-2021-029
T. Hocking
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引用次数: 1

摘要

正则表达式是从非表格文本数据中提取表格的强大工具。捕获描述要从列名中提取的信息的正则表达式在将数据表从宽(具有许多规则命名的列的少数行)重塑为高(具有更多行的较少列)时特别有用。我们介绍了R包nc(命名捕获的缩写),它提供了使用正则表达式进行从宽到高的数据重塑的函数。我们描述了nc的主要新思想,并提供了与相关R包(stats, utils, data. js)的详细比较。Table、tidyr、tidyfast、tidyfst、shape2、cdata)。
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Wide-to-tall Data Reshaping Using Regular Expressions and the nc Package
Regular expressions are powerful tools for extracting tables from non-tabular text data. Capturing regular expressions that describe the information to extract from column names can be especially useful when reshaping a data table from wide (few rows with many regularly named columns) to tall (fewer columns with more rows). We present the R package nc (short for named capture), which provides functions for wide-to-tall data reshaping using regular expressions. We describe the main new ideas of nc, and provide detailed comparisons with related R packages (stats, utils, data.table, tidyr, tidyfast, tidyfst, reshape2, cdata).
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