mlbplotR
R package to easily plot MLB logos (by camdenk)
baseballr
A package written for R focused on baseball analysis. Currently in development. (by BillPetti)
| mlbplotR | baseballr | |
|---|---|---|
| 3 | 16 | |
| 17 | 354 | |
| - | - | |
| 4.7 | 7.4 | |
| 2 days ago | about 1 month ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mlbplotR
Posts with mentions or reviews of mlbplotR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-16.
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Adding MLB Team Logos to a Graph in R
If people are looking to do this, what I did was to copy the csv used to map team logos to assets from mlbplotR, make a function to grab each image from whichever spot, and use AnnotationBbox to actually plot the logo.
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[OC] Plotting 'Team Runs Scored vs Team Runs Allowed' this season. What (or who) stands out?
I’m away from my computer to upload the code, but I got the logos and the foundation for the code from mlbplotR! A great and super useful package.
baseballr
Posts with mentions or reviews of baseballr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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[General Discussion] Around the Horn - 12/11/23
A basic understanding of R should be enough if you install the baseball r package. From there you can scrape off of Baseball Reference or Fangraphs for custom date ranges to get stats on whatever time frame basis you would like. Then you can export/copy/whatever to excel if you want, or do the analysis right in R.
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Are the 2023 Yankees too dependent on Judge (and maybe Stanton)? (a) Judge/Stanton Active: .562 W-L% in 16G, 4.8 R/G (b) Judge Active, Stanton IL: .636 W-L% in 33G, 5.0 R/G (c) Judge IL, Stanton Active: .438 W-L% in 16G, 3.4 R/G (d) Judge/Stanton IL: .400 W-L% in 10G, 3.5 R/G (Source: MLB Stats API)
Source: MLB Stats API via baseballr.
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Scraping Minor League Stats?
I like this idea, too! I use baseballr all the time. It is a godsend.
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Question on data scraping
In order to make it, I need to get every lineup from every game in the season. I am using the baseballr package to get the game_pk number. Each game has a game_pk number, and each lineup is tied to that game_pk. So I need to create a dataframe (all_games_list) for each game with its game_pk number in it, and then use the game_pk numbers to create a new dataframe (lineup_all) that contains the lineup for said game_pk.
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Is their a stat or a program where I can see which pitchers during game deficits or leads, giving up a few runs due to walk walks, played hits, rbis? How would I go about filtering it out? I don’t mean starting pitchers or anything like that, I mean pitchers that came in one inning gave up 4 runs.
I just remembered there is also this R package: Acquiring and Analyzing Baseball Data • baseballr.
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[Doyle] Multiple sources: The Seattle Mariners are calling up right-handed pitcher Bryce Miller. He will start Tuesday against Oakland.
To get all the data, I would suggest checking out baseballr if you are familiar with R. https://billpetti.github.io/baseballr/
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[OC] The New MLB Pitch Clock is Fixing Baseball's Pace-of-Play Crisis
Visualization originally posted on my blog - I built the boxplot using R and ggplot2, and was fortunate to be able to use the excellent baseballr package to query MLB game information for the runtime source data!
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Help!! Dataset required for Supervised Linear Regression | Learning purposes
baseballR (baseball)
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MLB Stats API Application time?
most folks without direct access to mlb's api scrape baseball savant's data api. packages like baseballr or pybaseball can help with this. remember, this is in the open on a trust model: no commercial use, and don't hammer the api.
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Where to get started analyzing basic baseball metrics
If you're using R, this is the gold standard package to use for getting baseball data. This helps you scrape data.
What are some alternatives?
When comparing mlbplotR and baseballr you can also consider the following projects:
healthyR.ts - A time-series companion package to healthyR
pybaseball - Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
hoopR - An R package to quickly obtain clean and tidy men's basketball play by play data.
boxball - Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.
ggExtra - 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements
ggplot2 - An implementation of the Grammar of Graphics in R
ggthemr - Themes for ggplot2.
baseballr - A package written for R focused on baseball analysis. Currently in development.
aRtsy - aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.
tidycensus - Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R