From 18985503156b0d411532562af3516ac31f675bd5 Mon Sep 17 00:00:00 2001
From: Mark Edmondson <github@markedmondson.me>
Date: Wed, 9 Oct 2019 14:10:02 +0200
Subject: [PATCH] remove shinyapps link

---
 R/partition.R            | 2 +-
 man/bqr_partition.Rd     | 2 +-
 vignettes/bigQueryR.Rmd  | 2 --
 vignettes/bigQueryR.html | 5 ++---
 4 files changed, 4 insertions(+), 7 deletions(-)

diff --git a/R/partition.R b/R/partition.R
index fe85ecf..473e7a3 100644
--- a/R/partition.R
+++ b/R/partition.R
@@ -38,7 +38,7 @@
 #' 
 #' @return A list of copy jobs for the sharded tables that will be copied to one partitioned table
 #' 
-#' @seealso \href{Partitioned Tables Help}{https://cloud.google.com/bigquery/docs/creating-partitioned-tables}
+#' @seealso \href{https://cloud.google.com/bigquery/docs/creating-partitioned-tables}{Partitioned Tables Help}
 #' @export
 #' @importFrom stats setNames
 bqr_partition <- function(sharded,
diff --git a/man/bqr_partition.Rd b/man/bqr_partition.Rd
index e5fce3e..e5ba347 100644
--- a/man/bqr_partition.Rd
+++ b/man/bqr_partition.Rd
@@ -52,5 +52,5 @@ Daily tables, however, have several disadvantages. You must manually, or program
 
 }
 \seealso{
-\href{Partitioned Tables Help}{https://cloud.google.com/bigquery/docs/creating-partitioned-tables}
+\href{https://cloud.google.com/bigquery/docs/creating-partitioned-tables}{Partitioned Tables Help}
 }
diff --git a/vignettes/bigQueryR.Rmd b/vignettes/bigQueryR.Rmd
index 9b8d0b5..5ce9fba 100644
--- a/vignettes/bigQueryR.Rmd
+++ b/vignettes/bigQueryR.Rmd
@@ -21,8 +21,6 @@ This package is here as it uses [googleAuthR](https://github.com/MarkEdmondson12
 
 It also has support for data extracts to Google Cloud Storage, meaning you can download data and make the download URL available to a user via their Google email. If you do a query normally with over 100000 results it hangs and errors. 
 
-An example of a BigQuery Shiny app running OAuth2 is here, the [BigQuery Visualiser](https://mark.shinyapps.io/bigquery-viz/)
-
 ## Authentication
 
 Authentication is as used in other `googleAuthR` libraries:
diff --git a/vignettes/bigQueryR.html b/vignettes/bigQueryR.html
index 46d62e0..908963f 100644
--- a/vignettes/bigQueryR.html
+++ b/vignettes/bigQueryR.html
@@ -13,7 +13,7 @@
 
 <meta name="author" content="Mark Edmondson" />
 
-<meta name="date" content="2019-09-25" />
+<meta name="date" content="2019-10-09" />
 
 <title>bigQueryR</title>
 
@@ -304,7 +304,7 @@
 
 <h1 class="title toc-ignore">bigQueryR</h1>
 <h4 class="author">Mark Edmondson</h4>
-<h4 class="date">2019-09-25</h4>
+<h4 class="date">2019-10-09</h4>
 
 
 
@@ -316,7 +316,6 @@ <h2>Introduction</h2>
 <h3>Why this package then?</h3>
 <p>This package is here as it uses <a href="https://github.com/MarkEdmondson1234/googleAuthR">googleAuthR</a> as backend, so has Shiny support, and compatibility with other googleAuthR dependent packages.</p>
 <p>It also has support for data extracts to Google Cloud Storage, meaning you can download data and make the download URL available to a user via their Google email. If you do a query normally with over 100000 results it hangs and errors.</p>
-<p>An example of a BigQuery Shiny app running OAuth2 is here, the <a href="https://mark.shinyapps.io/bigquery-viz/">BigQuery Visualiser</a></p>
 </div>
 </div>
 <div id="authentication" class="section level2">