Prevalence of neuropathic pain: additional data

This repository contains two zip files that allow for analytical reproducibility. Each of the zip files contain 10 binary files with an '.rds' extension, which were written in R using the saveRDS function with 'xz' compression. Nine of the 10 files are 'prev' objects generated using the prevalence::truePrev function in R. In both zip files, the names of the 'prev' objects are: baskozos.rds bouhassira.rds dibonaventura.rds harifi.rds hebert.rds toth.rds vandenkerkhof_dn4.rds vandenkerkhof_lanss.rds yawn.rds The tenth file (data_plot.rds) is a large R dataframe in which true prevalence data from the 9 'prev' objects have been collated for plotting the data by ggplot2 in R. The files in the 'prevalence_true_uninformative.zip' file were generated using an uniformative prior [Beta(1, 1)], while the files in the 'prevalence_true_informative.zip' file were generated using an informative prior [Beta(4.389, 29.522)]. To use the data, using the following proceedures: Clone the associated GitHub repository locally git clone https://github.com/kamermanpr/neuropathic-pain_prevalence.git Download the two zip files contained in this repository to the home directory of the cloned repository and unzip the files. Unzipping the files will generate two new directories ('/prevalence_true_uninformative' and '/prevalence_true_informative'). These two directories contain the additional data that was too large to upload to GitHub, and which allow all scripts in the cloned repository to run in a reproducible manner.本仓库包含两份可实现分析可重复性的压缩包文件。每份压缩包均内含10个扩展名为.rds的二进制文件，这些文件通过R语言的saveRDS函数结合'xz'压缩格式生成。 10个文件中的9个为'prev'对象，它们是通过R语言中prevalence包的truePrev函数生成的。两份压缩包内的'prev'对象命名均为： baskozos.rds bouhassira.rds dibonaventura.rds harifi.rds hebert.rds toth.rds vandenkerkhof_dn4.rds vandenkerkhof_lanss.rds yawn.rds 第10个文件（data_plot.rds）为一个大型R数据框，其中整合了上述9个'prev'对象的真实患病率数据，用于在R语言中通过ggplot2绘制数据可视化图表。 'prevalence_true_uninformative.zip'压缩包内的文件使用了无信息先验[Beta(1, 1)]生成，而'prevalence_true_informative.zip'压缩包内的文件则使用了有信息先验[Beta(4.389, 29.522)]生成。 如需使用本数据集，请遵循以下操作流程： 1. 本地克隆关联的GitHub仓库： git clone https://github.com/kamermanpr/neuropathic-pain_prevalence.git 2. 将本仓库内的两份压缩包下载至克隆仓库的主目录，并执行解压操作。解压后将生成两个新目录（'/prevalence_true_uninformative'与'/prevalence_true_informative'），这两个目录包含了因体积过大无法直接上传至GitHub的额外数据，可确保克隆仓库内的所有脚本均可复现运行。