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-rw-r--r--vignettes/FOCUS_L.Rmd8
1 files changed, 4 insertions, 4 deletions
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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