{ "id": 245407, "title": "A reference book on using R to play Moneyball.", "url": "/competitions/mlb-player-digital-engagement-forecasting/discussion/245407", "author_name": "Ringa_hyj", "post_date": "2021-06-10T22:31:12.510000", "votes": 10, "comment_count": 5, "views": 0, "content": "

Data analysis in baseball is often done.
\nIt's known as sabermetrics.
\nIf you are interested in using statistics and making new discoveries about baseball data, there is a good book available.
\nThis is a book on analyzing baseball data using R.
\nIt is written in such a way that even a beginner can easily understand it, and you can visualize the data with beautiful graphics using ggplot2.
\nYou can examine the expected value of runs scored and the probability of a winning streak.
\nBased on the probabilities, you can simulate the game using Markov chains.

\n\n

These books are part of a series, so check out the books before and after it.

\n

Have a good R life.

", "messages": [ { "id": 1344397, "postDate": "2021-06-10T22:31:12.510Z", "content": "

Data analysis in baseball is often done.
\nIt's known as sabermetrics.
\nIf you are interested in using statistics and making new discoveries about baseball data, there is a good book available.
\nThis is a book on analyzing baseball data using R.
\nIt is written in such a way that even a beginner can easily understand it, and you can visualize the data with beautiful graphics using ggplot2.
\nYou can examine the expected value of runs scored and the probability of a winning streak.
\nBased on the probabilities, you can simulate the game using Markov chains.

\n\n

These books are part of a series, so check out the books before and after it.

\n

Have a good R life.

", "rawMarkdown": "Data analysis in baseball is often done.\nIt's known as sabermetrics.\nIf you are interested in using statistics and making new discoveries about baseball data, there is a good book available.\nThis is a book on analyzing baseball data using R.\nIt is written in such a way that even a beginner can easily understand it, and you can visualize the data with beautiful graphics using ggplot2.\nYou can examine the expected value of runs scored and the probability of a winning streak.\nBased on the probabilities, you can simulate the game using Markov chains.\n\n- You will be able to write practical code using baseball data sets.(Retrosheet,Lahman)\n- You can practice creating models and how to compare their accuracy.\n- The drawback is that the code is difficult to understand.\n- You will learn how to use linear regression, generalized linear regression, and other modeling techniques.\n- Learn how to calculate moving averages and slugging percentages.\n\n\n \n\n \n\n\n\nThese books are part of a series, so check out the books before and after it.\n\nHave a good R life.\n", "votes": 10 }, { "id": 1346005, "postDate": "2021-06-12T03:20:37.297Z", "content": "

Nice. Thanks. Do take a look at my notebooks and give feedback.

", "rawMarkdown": "Nice. Thanks. Do take a look at my notebooks and give feedback.", "votes": -1 }, { "id": 1346912, "postDate": "2021-06-12T18:42:14.987Z", "content": "

Awesome. I saw this after posting a book discussion of my own. It took me a while to try and remember what book I used many years ago to learn R. This is a really good book. Highly recommended.

", "rawMarkdown": "Awesome. I saw this after posting a book discussion of my own. It took me a while to try and remember what book I used many years ago to learn R. This is a really good book. Highly recommended. " }, { "id": 1344687, "postDate": "2021-06-11T04:43:02.467Z", "content": "

@hiroshihiroshi Excellent resources, thanks for sharing!

", "rawMarkdown": "@hiroshihiroshi Excellent resources, thanks for sharing!" }, { "id": 1345250, "postDate": "2021-06-11T12:24:31.640Z", "rawMarkdown": "", "votes": 1, "isDeleted": true }, { "id": 1344790, "postDate": "2021-06-11T06:25:58.343Z", "content": "

Great, thanks!

", "rawMarkdown": "Great, thanks!", "votes": 1 } ], "comments": [ { "id": 1346005, "author_name": "Arnab Dey", "author_url": "", "post_date": "2021-06-12T03:20:37.297000", "content": "

Nice. Thanks. Do take a look at my notebooks and give feedback.

", "votes": -1, "replies": [] }, { "id": 1346912, "author_name": "Charlie Craine", "author_url": "", "post_date": "2021-06-12T18:42:14.987000", "content": "

Awesome. I saw this after posting a book discussion of my own. It took me a while to try and remember what book I used many years ago to learn R. This is a really good book. Highly recommended.

", "votes": 0, "replies": [] }, { "id": 1344687, "author_name": "Yuko Ohmori", "author_url": "", "post_date": "2021-06-11T04:43:02.467000", "content": "

@hiroshihiroshi Excellent resources, thanks for sharing!

", "votes": 0, "replies": [] }, { "id": 1345250, "author_name": "", "author_url": "", "post_date": "2021-06-11T12:24:31.640000", "content": "", "votes": 1, "replies": [] }, { "id": 1344790, "author_name": "Arpit Verma", "author_url": "", "post_date": "2021-06-11T06:25:58.343000", "content": "

Great, thanks!

", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "1344397": "Data analysis in baseball is often done.\nIt's known as sabermetrics.\nIf you are interested in using statistics and making new discoveries about baseball data, there is a good book available.\nThis is a book on analyzing baseball data using R.\nIt is written in such a way that even a beginner can easily understand it, and you can visualize the data with beautiful graphics using ggplot2.\nYou can examine the expected value of runs scored and the probability of a winning streak.\nBased on the probabilities, you can simulate the game using Markov chains.\n\n- You will be able to write practical code using baseball data sets.(Retrosheet,Lahman)\n- You can practice creating models and how to compare their accuracy.\n- The drawback is that the code is difficult to understand.\n- You will learn how to use linear regression, generalized linear regression, and other modeling techniques.\n- Learn how to calculate moving averages and slugging percentages.\n\n\n \n\n \n\n\n\nThese books are part of a series, so check out the books before and after it.\n\nHave a good R life.\n", "1346005": "Nice. Thanks. Do take a look at my notebooks and give feedback.", "1346912": "Awesome. I saw this after posting a book discussion of my own. It took me a while to try and remember what book I used many years ago to learn R. This is a really good book. Highly recommended. ", "1344687": "@hiroshihiroshi Excellent resources, thanks for sharing!", "1345250": "", "1344790": "Great, thanks!" } }