Download PDF by Max Marchi: Analyzing Baseball Data with R

By Max Marchi

ISBN-10: 1466570229

ISBN-13: 9781466570221

With its versatile services and open-source platform, R has develop into an important software for examining specific, high quality baseball info. Analyzing Baseball info with R offers an advent to R for sabermetricians, baseball fans, and scholars drawn to exploring the wealthy resources of baseball facts. It equips readers with the mandatory abilities and software program instruments to accomplish the entire research steps, from collecting the datasets and getting into them in a handy structure to visualizing the knowledge through graphs to appearing a statistical analysis.

The authors first current an outline of publicly on hand baseball datasets and a mild creation to the kind of information constructions and exploratory and knowledge administration features of R. in addition they conceal the normal snap shots capabilities within the base package deal and introduce extra subtle graphical screens to be had throughout the lattice and ggplot2 programs. a lot of the booklet illustrates using R via renowned sabermetrics issues, together with the Pythagorean formulation, runs expectancy, occupation trajectories, simulation of video games and seasons, styles of streaky habit of avid gamers, and fielding measures. each one bankruptcy comprises routines that motivate readers to accomplish their very own analyses utilizing R. all the datasets and R code utilized in the textual content can be found online.

This publication is helping readers solution questions about baseball groups, gamers, and process utilizing huge, publically to be had datasets. It deals distinctive directions on downloading the datasets and placing them into codecs that simplify facts exploration and research. in the course of the book’s a variety of examples, readers will know about smooth sabermetrics and have the ability to behavior their very own baseball analyses.

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Additional info for Analyzing Baseball Data with R

Example text

Splitting, Applying, and Combining Data . . . . . . . . . . . . 1 Using sapply . . . . . . . . . . . . . . . . . . . . . . 2 Using ddply in the plyr package . . . . . . . . . . . . Getting Help . . . . . . . . . . . . . . . . . . . . . . . . . . . Further Reading . . . . . . . . . . . . . . . . . . . . . . . . . Exercises . . . . . . . . . . . . . . . . . . . . . . .

We combine the two team vectors into one vector by the c function and apply the matrix function, storing the result in variable results. results <- matrix(c(NL, AL), 10, 2) results [,1] [,2] [1,] "FLA" "NYY" [2,] "STL" "BOS" [3,] "HOU" "CHW" [4,] "STL" "DET" [5,] "COL" "BOS" [6,] "PHI" "TBR" [7,] "PHI" "NYY" 38 Analyzing Baseball Data with R [8,] "SFG" "TEX" [9,] "STL" "TEX" [10,] "SFG" "DET" One can use the dimnames function to add descriptive labels to the rows and columns of the matrix. We label the rows by the seasons using the first index of dimnames(results) (note the use of the double square brackets) and label the columns with "NL Team" and "AL Team".

1 Introduction . . . . . . . . . . . . . . . . . . . . . . . 2 Manipulations with data frames . . . . . . . . . . . . . 3 Merging and selecting from data frames . . . . . . . . Packages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Splitting, Applying, and Combining Data . . . . . . . . . . . . 1 Using sapply . . . . . . . . . . . . . . . . . . . .

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Analyzing Baseball Data with R by Max Marchi

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