R demo | How to visualize models Part 2 | non linear, logistic, multinomial, mixed effects, survival
In this video, we'll continue our journey on visualizing model results in R and RStudio which we started in Part 1: • R demo | How to visualize models Part 1 | ... Why visualize model results? Because: "A picture is worth a thousand words"! The goal is the same as in the previous video: learn minimum code for maximum results! Here we'll see the visualisation of the non linear, logistic, multinomial, mixed effects, mixed effects non-linear and survival models, including Kaplan-Meier curves, exponential parametric models and even Cox Proportional Hazard models. Moreover, we'll not only see how to do easy post-hocs again, but will learn how to visualize all the p-adjusted p-values of the pairwise comparisons (contrasts) on the same color-coded plot. Visualizing model results is the best kind of data visualization, because such data is already processed and delivers even more valuable insights than the row data. Idea on new video topics and any feedback are always welcomed!!! The code is provided here: https://yuzar-blog.netlify.app/posts/... Enjoy :) Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/a... Stream the music on Spotify: https://open.spotify.com/album/1dVyjw... Enjoy! 🥳
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