RLetters Application Note Figure Data

This data includes all of the results produced by RLetters (https://demo.rletters.net/) used to create Figure 2 in the <i>PLoS ONE</i> paper Pence, C.H. "RLetters: A Web-Based Application for Text Analysis of Journal Articles." DOI: 10.1371/journal.pone.0146004.<br>In addition, at one point I cite a collocation analysis in support of a claim, the original data for which are also included here.<br>To regenerate this data from the RLetters Demo installation:<br>- Access the RLetters Demo- Create two datasets, one containing all of <i>PLoS Biology</i> (filter -&gt; <i>PLoS Biology</i> -&gt; Save Dataset) and one containing all of <i>PLoS Computational Biology.</i>- Run a Craig Zeta analysis, linking those two datasets.<br>For the collocation analysis:<br>- Run a collocation analysis on the <i>PLoS Computational Biology</i> dataset, including the first 100 collocations, and using the "Parts of speech" analysis method.

本数据集包含RLetters（一款基于网页的期刊文章文本分析应用程序，访问地址：https://demo.rletters.net/）生成的全部结果，这些结果用于绘制Pence, C.H.发表于《PLoS ONE》的论文《RLetters: A Web-Based Application for Text Analysis of Journal Articles》中的图2，该论文的DOI为10.1371/journal.pone.0146004。
此外，本数据集还包含该论文中用于支撑某一论点的搭配分析（collocation analysis）的原始数据。
若需通过RLetters演示版实例重新生成本数据集，请执行以下操作：
- 访问RLetters演示版，创建两个数据集：其一包含全部《PLoS Biology》文献（筛选路径：筛选器→《PLoS Biology》→保存数据集），其二包含全部《PLoS Computational Biology》文献。
- 关联上述两个数据集，执行Craig Zeta分析。
若需执行搭配分析，请执行以下操作：
- 在《PLoS Computational Biology》数据集上执行搭配分析，提取前100个搭配项，并采用"词性"分析方法。