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#shinyapp

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Excited about using #rstats on #biodiversity data and provide them in virtual research environments in a #shinyapp ?

Join our team in the vibrant city of #Halle as a #Postdoc in the EU funded project "Biodiversity Meets Data" with a great international team at @ufz

More info here or contact me directly
recruitingapp-5128.de.umantis.
Deadline 15. Sept.

#PostdocPosition #Ecology #ecologyjobs #DataScience #ecoevojobs
@ecoevojobs

recruitingapp-5128.de.umantis.comComputational Ecology - Statistical modelling (f/m/x)

#statstab #65 MOTE effect size calculator/convertor

Thoughts: The #r package is great, but this is a quick app for reporting various effects. It also provides handy interpretations, useful when teaching/learning.

#shinyapp #rstats #effectsize

shiny.posit.co/r/gallery/life-

ShinyShiny - MOTE: An Effect Size CalculatorShiny is a package that makes it easy to create interactive web apps using R and Python.

One of the most problematic areas in the submission we get and papers I review are the sections on #SampleSize justifications.

See for example @lakens' excellent paper on the topic:
psyarxiv.com/9d3yf/
It now comes with a process guide in a #ShinyApp, which is an excellent support:
shiny.ieis.tue.nl/sample_size_
#Rstats

For #HRQL researchers:
rdcu.be/dnfO4

And many people teach this stuff, e.g., ☺️
researchgate.net/publication/3

#StudyDesign #NightshiftEditor
[edit: typo in hashtag]