From fc6da8dd92d3448d7130f14ca6771db250edc766 Mon Sep 17 00:00:00 2001 From: Mark Edmondson Date: Mon, 13 Jun 2016 16:14:46 +0200 Subject: [PATCH] all checks --- DESCRIPTION | 2 +- vignettes/bigQueryR.Rmd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 1e848a9..772c5fe 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -16,7 +16,7 @@ Imports: googleAuthR (>= 0.2.0) Suggests: shiny (>= 0.12.1), - jsonlite (>= 0.9.19), + jsonlite (>= 0.9.21), httr (>= 1.1.0), knitr, rmarkdown diff --git a/vignettes/bigQueryR.Rmd b/vignettes/bigQueryR.Rmd index 9c5bc56..f448257 100644 --- a/vignettes/bigQueryR.Rmd +++ b/vignettes/bigQueryR.Rmd @@ -109,7 +109,7 @@ bqr_get_job("your_project", job$jobReference$jobId) You may now want to download this data. For large datasets, this is best done via extracting the BigQuery result to Google Cloud Storage, then downloading the data from there. -You can create a bucket at Google Cloud Storage at , or you can use [library(googleCloudStorageR)](https://github.com/MarkEdmondson1234/googleCloudStorageR) +You can create a bucket at Google Cloud Storage see , or you can use [library(googleCloudStorageR)](https://github.com/MarkEdmondson1234/googleCloudStorageR) Once created, you can extract your data via the below: