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install.packages("devtools") | |
devtools::install_github("stattleship/stattleship-r") | |
install.packages('dplyr') | |
install.packages('ggplot2') | |
## Load the stattleshipR package | |
library(stattleshipR) | |
library(dplyr) | |
library(ggplot2) | |
set_token("your-api-token") | |
sport <- 'baseball' | |
league <- 'mlb' | |
ep <- 'game_logs' | |
q_body <- list(team_id='mlb-bos', status='ended', interval_type='regularseason') | |
gls <- ss_get_result(sport=sport, league=league, ep=ep, query=q_body, walk=TRUE) | |
game_logs<-do.call('rbind', lapply(gls, function(x) x$game_logs)) | |
sport <- 'baseball' | |
league <- 'mlb' | |
ep <- 'players' | |
q_body <- list(team_id='mlb-bos') | |
pls <- ss_get_result(sport=sport, league=league, ep=ep, query=q_body, walk=TRUE) | |
players<-do.call('rbind', lapply(pls, function(x) x$players)) | |
colnames(players)[1] <- 'player_id' | |
game_logs <- merge(players, game_logs, by='player_id') | |
stats <- | |
game_logs %>% | |
filter(game_played == TRUE) %>% | |
group_by(name) %>% | |
summarise(totalRuns = sum(runs), meanBA = mean(batting_average), totalBases=sum(total_bases), salary=max(salary)) | |
ggplot(stats, aes(x=totalRuns, y=meanBA, size=totalBases, label=name, color=salary)) + geom_text() |
For those seeing an "Error: parse error: premature EOF" it could be that your token has expired.
In November of last year, we at Stattleship decided to use Patreon https://www.patreon.com/stattleship to ask the data science and hobbyist community to support our efforts to maintain the API.
The R wrapper used doesn't handle the unauthorized response and fails when trying to parse the response as JSON.
Thanks to the community, we're adding more features and recently launched NBA and NHL play-by-play data with shot court/rink coordinates.
Check us out at Stattleship API or API docs or on Slack.
One note, as we're about to begin the 2017 MLB season, it's wise to include both a season_id
and interval_type
in:
q_body <- list(team_id='mlb-bos', season_id='mlb-2016', interval_type='regularseason')
Since we default to the current season, this was you'll be certain to fetch the data you expect.
I'm also getting the "Error: parse error: premature EOF" error after running the command:
gls <- ss_get_result(sport=sport, league=league, ep=ep, query=q_body, walk=TRUE)