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statsandr.com | ||
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rgoswami.me
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| | | | | Chapter II - Statistical Learning All the questions are as per the ISL seventh printing of the First edition1. Question 2.8 - Pages 54-55 This exercise relates to the College data set, which can be found in the file College.csv. It contains a number of variables for \(777\) different universities and colleges in the US. The variables are Private : Public/private indicator Apps : Number of applications received Accept : Number of applicants accepted Enroll : Number of new students enrolled Top10perc : New students from top 10 % of high school class Top25perc : New students from top 25 % of high school class F. | |
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debrouwere.org
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| | | | | [AI summary] A data scientist argues that traditional descriptive statistics like the mean and standard deviation are often poor choices for communicating data and recommends more interpretable alternatives like medians, percentiles, and visualizations. | |
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www.huber.embl.de
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| | | | | If you are a biologist and want to get the best out of the powerful methods of modern computational statistics, this is your book. | |
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www.rdatagen.net
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| | | We've finally reached the end of the road. This is the fifth and last post in a series building up to a Bayesian proportional hazards model for analyzing a stepped-wedge cluster-randomized trial. If you are just joining in, you may want to start at the beginning. The model presented here integrates non-linear time trends and cluster-specific random effects-elements we've previously explored in isolation. There's nothing fundamentally new in this post; it brings everything together. Given that the groundwork has already been laid, I'll keep the commentary brief and focus on providing the code. | ||
