How to How to install biblioshiny using R package for bibliometrics
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- Опубліковано 5 вер 2024
- This video explains how we can install and setup r studio for biblioshiny package for bibliometrics analysis
I𝒎𝒑𝒐𝒓𝒕𝒂𝒏𝒕 𝑳𝒊𝒏𝒌𝒔
Download and install the most recent version of R
cran.r-project...
Download and install the most recent version of Rstudio
www.rstudio.com
To get info in biblioshiny
bibliometrix.org/
Suggestion only.
Pls later add subtitles to your future videos, as some people may want to watch them silently.
Sure. We will add subtitles soonest to all our videos.
Great Contribution to the world society
Very informative and thanks for posting
Thank you!
Sir please answer my question are u a neurologist dr now and if yes then plz let me know that how I can get your appointment?
Plz sir answer me it's a humble request☺️
Hi. Dr. Imran is operations Management professional.
@@CONNECTINGASIATV this means that he is not a Neurologist
Very informative as always.
Can u tell me how to install biblioshiny
Since after installing r i enter install packages bibliometrix
Its showing error,just showing trying url again n again
tank you very helpful
informative
I tried library(bibliometrix)
and biblioshiny()
I get an error
Warning: Error in shinythemes::shinytheme: flatly is not an available theme. Valid themes are: .
79: stop
78: shinythemes::shinytheme
I have installed the packages bibliometrix, bslib, shiny, shinythemes but I cannot access Biblioshiny. Do you have any solution? Thanks!
I am trying to put command biblioshiny() but it is not working and the message shows like this "
Error in Biblioshiny() : could not find function "Biblioshiny"
Because you forgot to call the package by writing library(bibliometrix)
I downloaded everything, but instead of "bibliometrix", I see only "bibliometrixdata". I also got a notice: Error in biblioshiny():could not find function "biblioshiny". Any help???
Same here!
@@cristobalcalvillo8892 You download the package. Then call it by writing library(bibliometrix). After that, you type biblioshiny(). This should work