From 17dee42156ede5ec8093799292f81655b2e88be6 Mon Sep 17 00:00:00 2001
From: Kamil <45295406+KSkwarczynski@users.noreply.github.com>
Date: Tue, 9 Dec 2025 16:36:00 +0000
Subject: [PATCH 1/2] Add more description to tutorial readme
---
README.md | 15 +++++++++++++++
1 file changed, 15 insertions(+)
diff --git a/README.md b/README.md
index d62d2be..39730cb 100644
--- a/README.md
+++ b/README.md
@@ -114,6 +114,21 @@ The output should look like plot below. This conveys same information as the ind
+
+(Detailed) Additional Plots
+`GetPostfitParamPlots` can produce two additional sets of plots:
+
+**Ridge Plot** - This allow to nicely see non-Gaussian paramters.
+
+
+
+**Violin Plot** - This also allow to see nicely non-Gaussian parameters but also is usefull in comparing two chains.
+`ProcessMCMC` must be run with option "PlotCorr" to be able to produce violin plot.
+
+
+
+
+
### Plotting Correlation Matrix
If you have run `ProcessMCMC` with option "PlotCorr" you will have a correlation matrix in the outputs. This is a handy tool for viewing how correlated different parameters are.
However, mature analyses with hundreds of parameters may run into the problem of having too large of plots to be useful. To combat this, you can plot a subset of parameters using `MatrixPlotter`:
From 9bc96df5e540a51d6840b93e2da2a4f77ac51ba1 Mon Sep 17 00:00:00 2001
From: Kamil <45295406+KSkwarczynski@users.noreply.github.com>
Date: Tue, 9 Dec 2025 16:42:20 +0000
Subject: [PATCH 2/2] Remove trailing space
---
README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.md b/README.md
index 39730cb..81b00e4 100644
--- a/README.md
+++ b/README.md
@@ -122,7 +122,7 @@ The output should look like plot below. This conveys same information as the ind
-**Violin Plot** - This also allow to see nicely non-Gaussian parameters but also is usefull in comparing two chains.
+**Violin Plot** - This also allow to see nicely non-Gaussian parameters but also is usefull in comparing two chains.
`ProcessMCMC` must be run with option "PlotCorr" to be able to produce violin plot.