Rstudio statistical program

Survival data of females was analysed through Kaplan-Meier survival curves using the ‘survfit’ and ‘ggsurvplot’ functions from Survival package (ver. 3.4-0) of RStudio statistical program (ver. 2023.06.1). A non-parametric Log-rank statistical test was used to assess statistical differences in overall survival. To better understand the influence of each test plant in P.paraguayensis survival, the Cox regression model was employed to estimate the hazard ratio (HR) and P values based on χ² test, and 95% confidence intervals (95%-CI). HR is the rate of occurrence of an event during a given time interval, where HR > 1 means that exposure to the factor increases the rate of occurrence of the event, and HR < 1 decreases the rate. If the HR = 1 we say that the factor behaves as the reference (Kleinbaum and Klein 2012 (link)). Forest Plot for Cox proportional hazards model was created using the ‘coxph´ and ‘ggforest’ functions of R packages survival and survminer (0.4.9). P < 0.05 defined significance. All analyses were conducted with R 4.3.1 (R Core Team 2022 ).