Data from: Time dependent niche and fitness differences explain higher order species interactions – experimental evidence in plant-feeding arthropods

<strong>trajectories.csv </strong>(the raw data) <strong>id</strong>: replicate identifier<br> <strong>variant</strong>: co-existence status ("competition" or "monoculture")<br> <strong>day</strong>: day of experiment<br> <strong>species</strong>: mite species ("CRM" or "WCM")<br> <strong>n</strong>: population density <strong>model.R</strong> The R script with the GAMM fitted to the trajectory data; also produces simulations from this model (saved as <strong>sim.csv</strong>). <strong>sim.csv</strong> (simulations from the GAMM) <strong>day</strong>: day of experiment<br> <strong>spec_var</strong>: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")<br> <strong>X1:X1000</strong>: population densities simulated from the fitted GAMM (on the log scale) <strong>reg.RData</strong> The GAMM for growth rates. <strong>NFD_over_time_monte_carlo_gam.py</strong> Python script to compute niche and fitness differences. Takes <strong>sim.csv</strong> (densities over time for different instantiations) and <strong>reg.RData</strong> ( stores the GAMM from R for the growth rates) as input and generates the file <strong>Data_NFD_monte_carlo_multi_c.csv</strong> which stores the niche and fitness differences computed for these communities. <strong>figures.R</strong> The R script that produces Figures 2-5.