(high-temp) No 6. Beta diversity (16S rRNA/ITS) Output

**Output files from the No 6. Beta diversity Workflow** page of the SWELTR high-temp study. In this workflow, we tested multiple distance metrics to assess beta diversity between temperature treatments. The workflow is split into two parts. **beta_wf_part_1.rdata** : Part 1 contains all variables and objects (for 16s rRNA and ITS) from beta dispersion calculations and significant tests. To see the Objects, in R run load("_beta_wf_part_1.rdata", verbose=TRUE_) **beta_wf_part_2.rdata** : Part 2 contains all variables and objects (for 16s rRNA and ITS) from calculating distances as well as plots for ordination, within-group variation, and between-group variation. To see the Objects, in R run load("_beta_wf_part_2.rdata", verbose=TRUE_) Source code for the workflow can be found here: https://github.com/sweltr/high-temp/blob/master/beta.Rmd**SWELTR高温研究第6号页面“β多样性分析流程”的输出文件**。本流程针对不同温度处理组间的β多样性（beta diversity）进行评估，测试了多种距离度量方法，整体分为两个部分。 **`beta_wf_part_1.rdata`**：第一部分包含用于16S核糖体RNA（16S rRNA）和内部转录间隔区（ITS）的β离散度（beta dispersion）计算与显著性检验的全部变量与对象。若需查看其中对象，可在R语言环境中执行命令`load("beta_wf_part_1.rdata", verbose=TRUE)`。 **`beta_wf_part_2.rdata`**：第二部分包含用于16S核糖体RNA（16S rRNA）和内部转录间隔区（ITS）的距离计算结果，以及排序、组内变异与组间变异相关的绘图与变量对象。若需查看其中对象，可在R语言环境中执行命令`load("beta_wf_part_2.rdata", verbose=TRUE)`。 本流程的源代码可通过以下链接获取： https://github.com/sweltr/high-temp/blob/master/beta.Rmd