Sensitivity analysis script for: Why so many polyploids?

While polyploids are common in nature, existing models suggest that polyploid establishment should be difficult and rare. We explore this apparent paradox by focusing on the role of unreduced gametes, as their union is the main route for formation of neopolyploids. Production of such gametes is affected by genetic and environmental factors, resulting in variation in the formation rate of unreduced gametes (u). Once formed, neopolyploids face minority cytotype exclusion (MCE) due to a lack of viable mating opportunities. More than a dozen theoretical models have explored factors that could permit neopolyploids to overcome minority cytotype exclusion and become established. Until now, however, none have explored variability in u and its consequences for the rate of polyploid establishment. Here, we determine the distribution that best fits available empirical data on u. We perform a global sensitivity analysis exploring the consequences of using empirical distributions of u to investigate..., , , # Sensitivity Analysis Script from Why so many polyploids? ## Description of the data and file structure There are two files included for the global sensitivity analysis of a model for overcoming minority cytotype exclusion, through including environmental stochasticity in the rate of unreduced gametes. 1. Sobol_MCE.R 2. UG_data.csv The input file (FinalUGdataset.csv) for the Sobol_MCE.R analysis script can be found at osf.io/y784s, where it has been published by the original author. From the input file the CorX column was used for the corrected measurement of unreduced gametes per sample. The analysis script puts out a table of the Sobol indices for the model parameterized from the original data. ### **UG\_data.xlsx** A workbook that has three tabs; UG_data, Species and Location. #### UG\_data * Sample = a string of characters identifying each individual sample. The values come from Pop and then an individual sample. * Species = the species epithet for the sample. See ...尽管多倍体（polyploids）在自然界中十分常见，但现有模型表明，多倍体建立（polyploid establishment）过程应当艰难且罕见。针对这一表观悖论，我们聚焦于非减数分裂配子（unreduced gametes）的作用——这类配子的结合是新多倍体（neopolyploids）形成的主要途径。此类配子的产生受遗传与环境因素共同调控，导致非减数分裂配子形成率（u）存在差异。新多倍体形成后，由于缺乏可存活的交配机会，会面临少数细胞型排斥（minority cytotype exclusion, MCE）问题。已有十余种理论模型探讨了可帮助新多倍体克服少数细胞型排斥并成功建立的相关因素。但截至目前，尚无研究探讨u的变异性及其对多倍体建立速率的影响。本研究通过拟合与现有非减数分裂配子相关的经验数据，确定了最适配的分布模型；并开展全局敏感性分析（global sensitivity analysis），探究采用u的经验分布开展相关研究时的潜在影响…… # 敏感性分析脚本 摘自《为何多倍体如此之多？》 ## 数据与文件结构说明 本研究针对克服少数细胞型排斥的模型开展全局敏感性分析，通过在非减数分裂配子速率中引入环境随机性，共包含两个文件： 1. Sobol_MCE.R 2. UG_data.csv Sobol_MCE.R分析脚本所需的输入文件FinalUGdataset.csv已由原作者上传至osf.io/y784s平台并公开。该输入文件中的CorX列，用于校正每个样本的非减数分裂配子测量值；分析脚本将输出基于原始数据构建模型的Sobol指数表。 ### **UG_data.xlsx** 该工作簿包含三个工作表：UG_data、Species与Location。 #### UG_data * Sample：用于标识每个独立样本的字符字符串，其取值格式为种群编号（Pop）加单个样本编号。 * Species：对应样本的物种学名种加词，详见……