March 2019
Beginner to intermediate
448 pages
13h 14m
English
Content preview from R Statistics Cookbook
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How to do it...
In this recipe, we will attempt to predict FC Barcelona's goals throughout the 2017/18 season, using some covariates and the club's previous goals. This will expose the many difficulties that exist when working with sports; even after using several important covariates, we won't be doing any better than just using the average for FC Barcelona's goals for that season (2.60):
- First, we load the dataset and create a dummy variable for home/away. We transform the dates, so we can compute the time difference between two games (we suspect that the number of days has a positive effect on the number of goals):
library("tscount") library(dummy) library(dplyr) data = read.table("./E1.txt",sep="\t",head=T) data$home_away = ifelse(data$ha ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.