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When loading the ga_model_example("ga-effect.gamr"), program executes and launches Oauth. As soon as authenticated, "An error has occurred!
could not find function "register_theme_dependency""
I suspect that this function has been renamed in later versions of Shiny?
Is there a way to access the insides of ga_models and change the code inside? I enjoy that the auth process is handled but it seems like there are some older code snippets that cause these templates to fail.
I have tried downgrading Shiny to 1.6.0 and the issue persists. The same when updating to the latest version.
It would be amazing to get your help on this :)
Session Info
R version 4.1.3 (2022-03-10)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS 13.0.1
@MichaelMares, thanks for reporting this! And sorry for the delay with our response (2 years!), it's been really busy with other projects and work, but trying to give some love to googleAnalyticsR again! :)
What goes wrong
When loading the ga_model_example("ga-effect.gamr"), program executes and launches Oauth. As soon as authenticated, "An error has occurred!
could not find function "register_theme_dependency""
I suspect that this function has been renamed in later versions of Shiny?
Is there a way to access the insides of ga_models and change the code inside? I enjoy that the auth process is handled but it seems like there are some older code snippets that cause these templates to fail.
I have tried downgrading Shiny to 1.6.0 and the issue persists. The same when updating to the latest version.
It would be amazing to get your help on this :)
Session Info
R version 4.1.3 (2022-03-10)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS 13.0.1
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.1-arm64/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices datasets utils methods base
other attached packages:
[1] gentelellaShiny_0.1.0 shinythemes_1.2.0 scales_1.2.1
[4] plotly_4.10.1 dygraphs_1.1.1.6 assertthat_0.2.1
[7] CausalImpact_1.3.0 bsts_0.9.9 xts_0.12.2
[10] zoo_1.8-11 BoomSpikeSlab_1.2.5 Boom_0.9.11
[13] googleAuthR_2.0.0 shiny_1.7.3 forcats_0.5.2
[16] stringr_1.5.0 dplyr_1.0.10 purrr_0.3.5
[19] readr_2.1.3 tidyr_1.2.1 tibble_3.1.8
[22] tidyverse_1.3.2 ggplot2_3.4.0 googleAnalyticsR_1.1.0
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