From 82dc9e275afb4b8c7520f791cff9d1ac1cc9a16f Mon Sep 17 00:00:00 2001
From: James Balamuta <balamut2@illinois.edu>
Date: Mon, 28 Jan 2019 14:33:29 -0600
Subject: [PATCH] Update the README once more...

---
 README.Rmd | 7 ++++---
 README.md  | 8 ++++----
 2 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/README.Rmd b/README.Rmd
index 3c88c7f..3da0489 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -50,15 +50,16 @@ To use the `iccbeta` package, load it into _R_ using:
 library("iccbeta")
 ```
 
-From there, the `icc_beta()` function can be called using either `lmer()`
-model object or individual components to compute the intraclass correlation:
+From there, calling the `icc_beta()` function with either a `lmer()`
+model object or the desired individual components will
+compute the intraclass correlation:
 
 ```{r sample-call, eval = FALSE}
 # Automatically calculate icc from model
 results_model = icc_beta(<lmer-model>)
 
 # Calculate icc from individual terms.
-results_manual = icc_beta(X, l2id, T, vy)
+results_component = icc_beta(X, l2id, T, vy)
 ```
 
 ## Authors
diff --git a/README.md b/README.md
index 7a51c54..e8f451d 100644
--- a/README.md
+++ b/README.md
@@ -45,16 +45,16 @@ To use the `iccbeta` package, load it into *R* using:
 library("iccbeta")
 ```
 
-From there, the `icc_beta()` function can be called using either
-`lmer()` model object or individual components to compute the intraclass
-correlation:
+From there, calling the `icc_beta()` function with either a `lmer()`
+model object or the desired individual components will compute the
+intraclass correlation:
 
 ``` r
 # Automatically calculate icc from model
 results_model = icc_beta(<lmer-model>)
 
 # Calculate icc from individual terms.
-results_manual = icc_beta(X, l2id, T, vy)
+results_component = icc_beta(X, l2id, T, vy)
 ```
 
 ## Authors