Reproduces correct results

Author: jmafoster1

examples/covasim_/doubling_beta/data/high_contacts_avg_age_22.2.csv

@@ -0,0 +1,11 @@
+# Poisson Line Process Case Study: Statistical Metamorphic Testing
+In this case study, we demonstrate how causal testing can be used to implement statistical metamorphic testing as per Guderlei & Mayer 2007. As described in section 5.1 of the paper, this involves running a series of causal test cases that incrementally change the width and height of the sampling window. We then show how statistical estimation can produce similar results using only a fraction of the data.
+
+## How to run
+To run this case study:
+1. Ensure all project dependencies are installed by running `pip install .` in the top level directory
+   (instructions are provided in the project README).
+2. Change directory to `causal_testing/examples/poisson-line-process`.
+3. Run the command `python causal_test_poisson.py`
+
+This should print a series of causal test results and produce two CSV files. `intensity_num_shapes_results_random_1000.csv` corresponds to table 1, and `width_num_shapes_results_random_1000.csv` relates to our findings reguarding the relationship of width and `P_u`.