stattleship_mlb_demo.R

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()

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.