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.

本Excel文件共包含四个工作表，其中三个工作表存储原始数据：第一个工作表存储我们收集的总体人口统计数据，用于分析总种群规模；第二个工作表存储用于分析scrambler个体（scrambler）出现日的相关数据；第三个工作表存储周种群增长率数据。R脚本（R script）文件用于导入原始数据，并包含执行分析与绘制图表的代码。本Excel文件的第四个工作表存储了本次分析中解释变量与响应变量的元数据。
《Per capita first day of scrambler expression.R》从Raw data.xlsx中导入原始数据，用于分析实验对种群中首次观测到scrambler个体的实验启动后天数的处理效应，结果以总种群规模为基准进行标准化（即单位种群规模下的首次scrambler表型出现日）。
《First scrambler expression.R》从Raw data.xlsx中导入原始数据，用于分析实验对种群中首次观测到scrambler个体的实验启动后天数的处理效应。
《Population growth.R》从Raw data.xlsx中导入原始数据，用于分析实验对种群增长的处理效应，种群增长以第t+1周的总种群规模除以第t周的总种群规模进行量化。
《Proportion scramblers.R》从Raw data.xlsx中导入原始数据，用于分析实验对雄性个体中scrambler个体占比的处理效应。
《Total population size.R》从Raw data.xlsx中导入原始数据，用于分析实验对总种群规模的处理效应。
《Adult population size.R》从Raw data.xlsx中导入原始数据，用于分析实验对成虫总数量的处理效应。
《Fecundity.R》从Raw data.xlsx中导入原始数据，用于分析实验对每头雌虫产卵量的处理效应。
《Testing different time periods.R》用于检验三种不同的时间效应分析方式是否会对scrambler个体的出现结果产生定性差异：(1) 将周数作为连续因子；(2) 将总时长划分为7个时间区间；(3) 将总时长划分为4个时间区间。结果显示未出现定性差异。
《Number of fighters and scramblers plotted over time.R》根据环境质量与奠基者种群规模（founder population size）的各处理组合，绘制不同时间下斗士型个体（fighters）与scrambler个体的平均数量变化曲线。