From c95761735d7878781601d6c0e5172f35a04f18a4 Mon Sep 17 00:00:00 2001
From: "Oliver M. Crook" <ococrook@gmail.com>
Date: Thu, 4 Apr 2024 22:15:40 +0100
Subject: [PATCH] update a few typos

---
 DESCRIPTION                     | 3 ++-
 R/Rex-function.R                | 2 +-
 man/rex.Rd                      | 2 +-
 vignettes/DifferentialRexMS.Rmd | 2 +-
 4 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 5b202d0..07b1157 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -55,7 +55,8 @@ Suggests:
     RefManageR,
     rmarkdown,
     sessioninfo,
-    testthat (>= 3.0.0)
+    testthat (>= 3.0.0),
+    viridis
 Config/testthat/edition: 3
 VignetteBuilder: knitr
 LazyData: false
diff --git a/R/Rex-function.R b/R/Rex-function.R
index 2b10dd3..3a9523c 100644
--- a/R/Rex-function.R
+++ b/R/Rex-function.R
@@ -6,7 +6,7 @@
 ##' [DataFrame]). Both are then passed to the `RexProcess` function to generate
 ##' summary data for further analysis and visualisation
 ##'
-##' @title residue-resolved HDX-MS data analysis using the Rex yes
+##' @title residue-resolved HDX-MS data analysis using Rex
 ##' @param HdxData An object of class DataFrame containing the HDX-MS data
 ##' @param numIter The number of iterations for the MCMC. Default is 1000
 ##'  but recommend at least 5000 in practice
diff --git a/man/rex.Rd b/man/rex.Rd
index 6e1e140..61762c0 100644
--- a/man/rex.Rd
+++ b/man/rex.Rd
@@ -3,7 +3,7 @@
 \name{rex}
 \alias{rex}
 \alias{resolver}
-\title{residue-resolved HDX-MS data analysis using the Rex yes}
+\title{residue-resolved HDX-MS data analysis using Rex}
 \usage{
 rex(
   HdxData,
diff --git a/vignettes/DifferentialRexMS.Rmd b/vignettes/DifferentialRexMS.Rmd
index 0f0c03f..d5491f8 100644
--- a/vignettes/DifferentialRexMS.Rmd
+++ b/vignettes/DifferentialRexMS.Rmd
@@ -277,7 +277,7 @@ incorrect results. This is typical when expressing a construct of a protein or
 the structure is only a small part of the protein.
 
 ```{r,}
-require(viridis)
+library(viridis)
 # random colours
 v <- matrix(rnorm(100), nrow = 1)
 colnames(v) <- seq.int(ncol(v))