SemNeT Shiny App Spreading Activation #11
Description
Copy and paste of error from your R console
Warning: Navigation containers expect a collection of `bslib::nav()`/`shiny::tabPanel()`s and/or `bslib::nav_menu()`/`shiny::navbarMenu()`s. Consider using `header` or `footer` if you wish to place content above (or below) every panel's contents.
Warning in spreadr::spreadr(network = nets[[net_name]], start_run = act_df, :
These nodes specified in start_run don't exist in network: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112
To Reproduce:
- Function error occurred in: [e.g., SemNeT Shiny Spreading Activation]
Optional (but extremely helpful): Attach data to issue or send data to alexpaulchristensen@gmail.com with the subject line SemNeT Data: [your GitHub username] using this template
R and SemNeT versions:
- R: [e.g., 3.6.3]
- SemNeT: [e.g., 1.3.0]
Operating System:
- OS: [Windows]
- Version [10]
Additional context and comments
- [In the load data tab of the shiny app it asks for the BRM but when I upload that data file the semantic network analysis doesn't work. In order for me to get the network analysis to work, I need to uploaded the cleaned animal responses. I am not sure if this is what causes the node error later on in the SpreadR analysis]
- [The Spreading Activation Analysis seems to work when looking at the visualization but the result output is 0 for all nodes across all timepoints which leads me to believe that there is an error. Based on Siew et al., 2019, I set the decay = 0.5, retention and suppression = 0. As in the Siew paper we arbitrarily picked 20 as our activation at time=0. ]
- [For the semantic network portion, we used the TMFG filtering, cosine similarity, and minimum response of 2 participants]
- [I ran this spreadr with Cynthia Siew's r scripts available on her OSF site but based on Reviewer feedback we would like to run this spreading activation analysis successfully in SemNeT.]
[HCMS_Animals_cleaned_responses.csv](https://github.com/AlexChristensen/SemNeT/files/11022874/HCM
group.csv
S_Animals_cleaned_responses.csv)
HCMS_Animals_BRM.csv