![]() ![]() Kable_styling(latex_options = "hold_position") %>% I can't directly share my data, but the anycodings_caching setup for one of my tables looks like this: exp2_age_gender_table %>% Geometry: left=35mm, right=20mm, top=30mm, bottom=30mm I've looked up what that error anycodings_caching means, but I can't find anything on how it anycodings_caching relates to the cache. My code anycodings_caching components are set to "cache=TRUE", because anycodings_caching it's a big file and I want to cut down on anycodings_caching loading time. This is especially confusing as it always anycodings_caching works the first time, and the PDF output anycodings_caching looks exactly as I want it to. anycodings_caching If the cache has been created, I get the anycodings_caching following error when trying to do subsequent anycodings_caching knits: ! LaTeX Error: Illegal character in array arg. I am able to do this, anycodings_caching but only if I've deleted the cache folder. I have an rMarkdown file with anycodings_caching a mixture of code, tables, and plain text anycodings_caching (in RStudio). Upload the service JSON file instead of the cache folder.I'm getting a weird error that I can't seem anycodings_caching to understand. However, the recommend method is to use service accounts and ga_auth(json_file="auth_key.json") when using a server since this is easier and more secure in the long run. Knitr will update the results for the cached chunk whenever it detects that one of. Then when you upload to Shiny Server or shinyapps.io, you should see the file in your upload choices: R Markdown provides an unified authoring framework for data science. This will then create a project folder containing cache. Via gargle options, this needs to be changed for a project folder via: The cache folder is usually at the global location ~/.R/gargle/gargle-oauth. ![]() Since the token is not saved at a project level since v0.7.0 you will need to move or specify the cache folder for the tokens. This can be specified in the meta data via resource_files in the Rmd yaml. However, if you want to continue using your email cached credentials, you need to ensure that the authentication cache file is present when uploaded. The recommend method for authentication is to use service accounts and ga_auth(json_file="your_key.json") since this is easier and more secure in the long run. To see the reports online, you can upload RMarkdown documents to Shiny servers or shinyapps.io, to perhaps run on a schedule. Uploading RMarkdown files to Shinyapps.io/Shiny Server ![]()
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