Dataset Combining experiments and integral projection model reveals when warming and food restriction increase population fitness

This file contains the data and scripts used in the article " Combining experiments and integral projection model reveals when warming and food restriction increase population fitness". <br> Growth, fecundity and survival data are available in df_growth.csv, df_fecundity.csv and df_survival.csv. In these files, "age" is the age of the fish, "temp" is the rearing temperature (20 °C or 30 °C), "food" is the feeding modality (ad libitum ad or restriction res), "condition" is the combination of temperature and resource modalities, "length_mm" is the fish size, fecundity is the number of eggs and "event" is the survival modality (1 = dead, 0 = alive). The scripts 01_growth.R, 02_fecundity and 03_survival.R analyze the growth, fecundity and survival curves. The 01_growth.R script uses the model written in bayesian_model.txt. <br> Integral Projection Models are written in script 04_IPM.R which uses the data cfs_bayes.Rdata (bayesian model posterior distribution), df_reproduction.csv, df_survival_probabilities.csv (Kaplan Meier estimate) and df_size_newborn.csv (data from our laboratory on the size of the newborns). IPMs results are compiled in IPM_model_outputs.csv. The script 05_IPM_sensitivity.R is used to perform sensitivity analysis. The results of these analyses are compiled in IPM_model_sensitivity.csv.