Explore >> Select a destination
|
You are here 
|
fharrell.com | ||
| | | | |
www.fharrell.com
|
|
| | | | | This article explains why for decision making the original idea of null hypothesis testing never delivered on its goal. | |
| | | | |
doomlab.github.io
|
|
| | | | | Shiny Apps Each Shiny application is listed below, along with any relevant publication information. MOTE: Magnitude of the Effect Shiny App GitHub Research Paper This app allows you to calculate many effect sizes and their confidence intervals. We have included mean differences and variance overlap effect sizes, their formulas, easy to copy output in APA style, help videos on how to use our app, and code for R users. Alternatives to Null Hypothesis Significance Testing Shiny App GitHub Research Paper This app provides color visualization of the data from our paper that focuses on alternatives to NHST procedures. | |
| | | | |
www.statsblogs.com
|
|
| | | | | ||
| | | | |
claritydev.net
|
|
| | | Lately, I have been asked increasingly often for some tips on how to become a self-taught developer, so I thought I'd write a post about it, reflecting on my experience and pointing out the things I'd do differently. In this article, I'll try to give general advice on how to improve for those considering or maybe already on the way to becoming self-taught software developers. It should be noted that the focus of the post is on front-end development since that's what I did; however, a majority of the advice can be applied to becoming a software engineer, irrespective of focus. | ||
