New LabPlot tutorial
https://tube.kockatoo.org/w/9Kmqeefqw35EpEZj914N5p
In this short video you’ll learn how to how to fit a distribution to data.
#DistributionFitting #GaussianDistribution, #Log-normalDistribution #Probability Distribution #PoissonDistribution #Binomial #Distribution #ExponentialDistribution #MaximumLikelihood
@[email protected]
@[email protected]
As an exclusive Linux user, kde plasma desktop enjoyer, and scientist plotting distributions professionally all i can say is… why the hell are you putting effort into this? The open source R and Python projects contain open source packages that already cover all necessary plotting needs directly in the environment we do analysis in and libreoffice calc covers everything else. What is the purpose of this effort? Y’all do great work and mange a pantheon of valuable user interface tools, but this seems so far off your plate you got me shouting here into the void. Go clean up the calendar ram flood and improve integration of Akonadi.
@RadicalEcologist
I guess for the same reason that you enjoy any of those things: people want to work on it … for free… in their spare time.
Am I frustrated that exchange support is so bad in KMail? yes (mostly because I’m forced to care about exchange support), but in open source that’s kinda the deal.
Also, I’m not sure the people that would work on statistics software are the same as would work on Kalendar😃
@kde @[email protected]
They are not.
This is really rude and disrespectful, borderline violating KDE’s CoC.
FYI, People in KDE will work on whatever they goddamn want. If unpaid volunteers want to work on LabPlot (used in CERN, NASA’s JPL and the University of Manchester that we know of, by the way, so apparently not all that pointless), they will, and you have no say in that matter.
If you have a problem with Akonadi, instead of being so deluded as to thinking you can actually order about people who owe you nothing, my advice is you roll up your sleeves and start helping out.
Proposing a bounty for fixing a bug or adding a feature can also help.