Data and analysis of "Developmental plasticity and the evolutionary rescue of a colonising mite"

The excel file contain the raw data in three sheets. THe first sheet contains the overall demographic data we gathered, used to analyse total population size; the second sheet contains the data to analyse srambler arrival day; the third sheet contains the weekly population growth rate. The r-script files import the raw data and contain code to run the analyses and create figures. The fourth sheet in the Excel file contains the metadata on the explanatory and response variables of the analyses.Per capita first day of scrambler expression.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on the first since the experiment started, expressed per total population size (so per capita first scrambler expression), that we first observed a scrambler in a population.First scrambler expression.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on the day since the experiment started that we first observed a scrambler in a population.Population growth.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on population growth quantified as the total population size at week t+1 divided over total population size at week t. .Proportion scramblers.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on the proportion of males that are scramblers.Total population size.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on total population size. Adult population size.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on total adult number. Fecundity.R imports the raw data from Raw data.xlsx to analyse treatment effects of the experiment on the number of eggs produced per female.Testing different time periods.R checks to see if testing for time effects using (1) Week as continuous factor, (2) total time period binned in 7 time intervals and (3), total time period binned in 4 time intervals had any qualitatively different result on scrambler expression. There were no qualitative differences.Number of fighters and scramblers plotted over time.R plots the mean number of fighters and scramblers over time for each treatment combination of environmental quality and founder population size.

该Excel文件包含三个工作表的原始数据。第一个工作表包含我们收集的总体人口统计数据，用于分析总人口规模；第二个工作表包含用于分析scrambler（Scrambler）出现日的数据；第三个工作表包含每周人口增长率数据。这些R脚本文件导入原始数据，并包含用于执行分析和生成图表的代码。Excel文件的第四个工作表包含分析所用解释变量和响应变量的元数据。《人均首次scrambler表达日.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对实验开始后首次在种群中观察到scrambler之日的影响（以总人口规模为基准表示，即人均首次scrambler表达）。《首次scrambler表达.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对实验开始后首次在种群中观察到scrambler之日的影响。《种群增长.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对种群增长的影响——种群增长以t+1周总人口规模除以t周总人口规模来量化。《scrambler比例.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对雄性中scrambler比例的影响。《总人口规模.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对总人口规模的影响。《成年种群规模.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对成年个体总数的影响。《繁殖力.R》脚本从Raw data.xlsx导入原始数据，用于分析实验处理对每只雌性产卵数的影响。《不同时间段测试.R》脚本检验：采用（1）周作为连续因子、（2）将总时间段划分为7个时间区间、（3）将总时间段划分为4个时间区间这三种方式测试时间效应对scrambler表达是否产生定性差异结果。结果显示无定性差异。《战斗者与scrambler数量随时间变化图.R》脚本绘制了环境质量与奠基种群规模各处理组合下，战斗者与scrambler的平均数量随时间变化的曲线。