There are 1 repository under interaction-effect topic.
Variable Importance Plots (VIPs)
dnalogel 是如视三维空间交互增强插件库,为三维空间提供强有力辅助,增强空间数字表达能力,强化空间视觉体验效果。打破三维空间壁垒,创造数字空间的无限可能。
A simple shiny app for examining interaction effects
It is a method that allows analyzing the differences among group means in a given sample. ANOVA is a collection of statistical models and their associated estimation procedures like variation within and between groups. It is used to study the modification of mþ as the average of the studied phenomenon Y (quantitative/continuous/dependent variable) according to the influence of one or more (qualitative/discrete/independent variable) factors.
R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicated that a higher EF % is a major factor.
Determine the effectiveness of advertising activities on sales
Evaluate the Buy Online Pick-up in Store (BOPS) strategy with a real-world dataset
Material for Lab 13 of the course
Investigate various factor affecting the housing price in Milwaukee, Wisconsin using data visualization and modeling techniques