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| library(baseballr) | |
| library(dplyr) | |
| obtain_data = function(type="postgres", | |
| start_date="2017-03-29", | |
| end_date="2017-10-03", infile=NULL) { | |
| if (type=="postgres") { | |
| # postgres db connection here | |
| # e.g. | |
| # library(RPostgres) | |
| # library(DBI) | |
| # conn <- dbConnect(RPostgres::Postgres(), | |
| # password=SOMEPASS, user=SOME_USER, port=SOME_PORT_PROBABLY_5432, dbname=SOME_NAME) | |
| # df1 = dbGetQuery(conn, "select * from SOME_TABLE_NAME where SOME_SELECTION_CRITERIA") | |
| } else if (type=="rds") { | |
| readRDS(infile) | |
| } else if (type=="csv") { | |
| read.csv(infile, stringsAsFactors = FALSE) | |
| } else if (type=="scrape") { | |
| date_seq = seq(as.Date(start_date), as.Date(end_date), by=1) | |
| dplyr::bind_rows(lapply(date_seq), function(d) { | |
| baseballr::scrape_statcast_savant(as.character(d), as.character(d)) | |
| }) | |
| } | |
| } | |
| statcast_impute_derive = function(statcast_df, inverse_precision=10000) { | |
| # statcast_df must have columns launch_angle, launch_speed, bb_type, events | |
| aa = statcast_df %>% | |
| filter(!is.na(launch_speed)) %>% | |
| mutate(ila=round(launch_angle*inverse_precision), | |
| ils=round(launch_speed*inverse_precision)) | |
| la_ls_count = aa %>% group_by(ila, ils, bb_type, events) %>% summarise(n=n()) | |
| # use n >= 5 here? some other number? 99.X percentile? this is why it's a heuristic | |
| la_ls_filtered = la_ls_count %>% select(ila, ils, bb_type, events) %>% filter(n>=5) | |
| la_ls_filtered %>% write.csv("CSV_FILE_TO_LOAD_LATER.csv", row.names = FALSE) | |
| } |
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