From 6446f78587c8bafea6c1dba5ca818fd745b4e7d8 Mon Sep 17 00:00:00 2001
From: alexhroom <69592136+alexhroom@users.noreply.github.com>
Date: Sun, 7 Mar 2021 12:37:28 +0000
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0b2d695..aed100d 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@ Based on tidyverse, so these functions assume your data is in tidy format.
 ``data`` - the dataframe that will be used.   
 ``col`` - the column we are measuring change on - variable 'X' in STARS.  
 ``time`` - the column containing time units (e.g. age of a subsample)  
-``p`` - the largest p-value you want to check regime shifts for. Defaults to p = 0.05.
+``p`` - the largest p-value you want to check regime shifts for. Defaults to p = 0.05.  
 ``merge`` - changes the result to be either a regime-shift only table (if FALSE), or an addition to the original table (if TRUE); see below:
 Result produced: if merge = FALSE (default), produces a 2-column table of time (the time value for each regime shift) and p (the p-value for each regime shift). If merge = TRUE, returns the original dataset with an extra p-value column, giving the p-value for each time unit - 0 for non-shift years.