From 1c81442284a25a9cf4979d9236ec0c1a1cf8a8dd Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Sat, 22 Oct 2016 17:55:12 +0200
Subject: Update way to specify encoding, improve FOCUS_L TOC

---
 vignettes/FOCUS_L.Rmd | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

(limited to 'vignettes/FOCUS_L.Rmd')

diff --git a/vignettes/FOCUS_L.Rmd b/vignettes/FOCUS_L.Rmd
index 72a5ba34..ccf7c85e 100644
--- a/vignettes/FOCUS_L.Rmd
+++ b/vignettes/FOCUS_L.Rmd
@@ -21,12 +21,12 @@ references:
 vignette: >
   %\VignetteIndexEntry{Example evaluation of FOCUS Laboratory Data L1 to L3}
   %\VignetteEngine{knitr::rmarkdown}
-  \usepackage[utf8]{inputenc}
+  %\VignetteEncoding{UTF-8}
 ---
 
 ```{r, include = FALSE}
 library(knitr)
-opts_chunk$set(tidy = FALSE, cache = TRUE)
+opts_chunk$set(tidy = FALSE, cache = FALSE)
 ```
 
 # Laboratory Data L1
@@ -189,7 +189,7 @@ FOCUS_2006_L3 = data.frame(
 FOCUS_2006_L3_mkin <- mkin_wide_to_long(FOCUS_2006_L3)
 ```
 
-## Use mmkin to fit multiple models
+## Fit multiple models
 
 As of mkin version 0.9-39 (June 2015), we can fit several models to 
 one or more datasets in one call to the function `mmkin`. The datasets
@@ -209,7 +209,7 @@ error level at which the $\chi^2$ test passes of 7%.  Fitting the four
 parameter DFOP model further reduces the $\chi^2$ error level
 considerably.
 
-## Accessing elements of mmkin objects
+## Accessing mmkin objects
 
 The objects returned by mmkin are arranged like a matrix, with 
 models as a row index and datasets as a column index.
-- 
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