We continue the development of Statsomat apps for automated data analysis reporting. To support our work and better understands your needs, feedback is wanted! We are happy for each comment regarding the Statsomat apps! What do you like most? What should be improved? Thank you
You can download now the Statsomat apps as the Statsomat R package from CRAN.
We are particularly proud to announce the launching of an app for Multiple Comparisons Procedures with a Control in an experimental beta version. The app was developed in large parts by students at the Faculty of Mathematics and Technics at the University of Applies Sciences Koblenz. Check the Statsomat/Multicomp app: https://statsomat.shinyapps.io/Multicomp.
A webinar about the technical background of the Statsomat apps:
Please consider the next webinar at the National Institute for Theoretical and Computational Sciences, University of KwaZulu-Natal, Durban, South Africa, about the open-source Statsomat apps, click to register: https://bit.ly/3hCQiS2
The Statsomat/EDAPY app for Exploratory Data Analysis (EDA) with Python is finally online. Check it out: https://statsomat.shinyapps.io/edapy/
The source code for the Statsomat/CFA app is online https://github.com/Statsomat/CFA. You are welcomed to contribute.
Friday 16.04.2021 at 07:30 CET, Denise will talk about the Statsomat apps at Data@Breakfast hosted by the University of KwaZulu-Natal, South Africa
We add the 4th app for Principal Components Analysis to Statsomat. The interpretation is based on the R package FactoMinerR.
We launch today our project and the Statsomat webpage and we link the first three applications for automated data analysis and interpretation.