vincentott.github.io
You could do a line for each animal across 5 slices (conditions) on the x-axis?
Does this (partially) answer your question?
You could do a line for each animal across 5 slices (conditions) on the x-axis?
Does this (partially) answer your question?
Better data viz - for free, in few clicks.
Below, all N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.
Use raincloud plots. Or risk wrong conclusions!
Plot w/ @jaspstats.bsky.social today!
🧪 📊 #PsychSciSky #StatsSky
🧵👇
Better data viz - for free, in few clicks.
Below, all N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.
Use raincloud plots. Or risk wrong conclusions!
Plot w/ @jaspstats.bsky.social today!
🧪 📊 #PsychSciSky #StatsSky
🧵👇
All N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.
Only raincloud plots reveal the qualitative differences, preventing the drawing of inappropriate conclusions.
How did we create the quartet?
Where are data & code?
🧵👇
All N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.
Only raincloud plots reveal the qualitative differences, preventing the drawing of inappropriate conclusions.
How did we create the quartet?
Where are data & code?
🧵👇
That´s why @jaspstats.bsky.social lets you create raincloud plots in mere clicks - no programming whatsoever.
Tell your students.
YouTube tutorial: www.youtube.com/watch?v=AAdX...
🧪 #PsySciSky 📊
That´s why @jaspstats.bsky.social lets you create raincloud plots in mere clicks - no programming whatsoever.
Tell your students.
YouTube tutorial: www.youtube.com/watch?v=AAdX...
🧪 #PsySciSky 📊
We modeled how well people remember source information for to-be-forgotten words that are unintentionally remembered.
I explain the attached abstract and central plot below.👇
Read the full article for free here: psycnet.apa.org/fulltext/202...
#PsySciSky 🧪 📊
We modeled how well people remember source information for to-be-forgotten words that are unintentionally remembered.
I explain the attached abstract and central plot below.👇
Read the full article for free here: psycnet.apa.org/fulltext/202...
#PsySciSky 🧪 📊
🏳️🌈-note: dataset only had "female" and "male" datapoints
🧪 #space #astronomy #dataviz #rstats
more info below 👇
🏳️🌈-note: dataset only had "female" and "male" datapoints
🧪 #space #astronomy #dataviz #rstats
more info below 👇
Merriam-Webster considers “lame” as “occasionally […] offensive“.
Do you consider the term offensive in the context of your rating?
link to rating/plot:
www.zeit.de/digital/mobi...
#dataviz #linguistics #etymology
Merriam-Webster considers “lame” as “occasionally […] offensive“.
Do you consider the term offensive in the context of your rating?
link to rating/plot:
www.zeit.de/digital/mobi...
#dataviz #linguistics #etymology
ChatGPT recommended using geom_errorbar() in combination with geom_box(). And I have been successful with geom_errorbar() is the past for customizing boxes. So might work.
Great data viz question, thanks for posting!
ChatGPT recommended using geom_errorbar() in combination with geom_box(). And I have been successful with geom_errorbar() is the past for customizing boxes. So might work.
Great data viz question, thanks for posting!
www.theguardian.com/science/2024...
#stats 🧪
I used #rstats to come up with an answer.
www.theguardian.com/science/2024...
#stats 🧪
I used #rstats to come up with an answer.
František Bartoš and EJ Wagenmakers received the prize yesterday on behalf the 50-author team.
Fair coins tend to land on the same side they started on (probability = 50.8%).
🧪 #StatsSky #PsychSciSky
More info below. 👇
František Bartoš and EJ Wagenmakers received the prize yesterday on behalf the 50-author team.
Fair coins tend to land on the same side they started on (probability = 50.8%).
🧪 #StatsSky #PsychSciSky
More info below. 👇
An incredibly fun project with Johanna Höhs & Jan Rummel
to which Johanna and I contributed equally.
Read more here: doi.org/10.1037/xlm0001362
(or pre-formatted version: osf.io/mg8ed/)
An incredibly fun project with Johanna Höhs & Jan Rummel
to which Johanna and I contributed equally.
Read more here: doi.org/10.1037/xlm0001362
(or pre-formatted version: osf.io/mg8ed/)