processPostPredStats: process Posterior Predictive Statistics

In RevGadgets: Visualization and Post-Processing of 'RevBayes' Analyses

process Posterior Predictive Statistics

Description

Reads in and processes posterior-predictive statistics

Usage

processPostPredStats(path_sim, path_emp)

Arguments

path_sim	(character string; no default) Path to the .csv file containing the simulated data results
path_emp	(character string; no default) Path to the .csv file containing the empirical values

Value

A list of data frames

Examples

# download the example datasets to working directory

url_emp <-
   "https://revbayes.github.io/tutorials/intro/data/empirical_data_pps_example.csv"
dest_path_emp <- "empirical_data_pps_example.csv"
download.file(url_emp, dest_path_emp)

url_sim <-
   "https://revbayes.github.io/tutorials/intro/data/simulated_data_pps_example.csv"
dest_path_sim <- "simulated_data_pps_example.csv"
download.file(url_sim, dest_path_sim)

# to run on your own data, change this to the path to your data file
file_sim <- dest_path_sim
file_emp <- dest_path_emp

t <- processPostPredStats(path_sim = file_sim,
                         path_emp = file_emp)

# remove files
# WARNING: only run for example dataset!
# otherwise you might delete your data!
file.remove(dest_path_sim, dest_path_emp)

RevGadgets documentation built on May 29, 2024, 10:03 a.m.