stats_by_category: Organize scraped data by stat category
In MrDAndersen/ffwebscrape: Scrape Data For Fantasy Football
View source: R/stats_aggregation.R
Description
Breaks the data into the following categories, and imputes missing values
based on rate stats across sources. For example, if passing attemts are missing
then they will be imputed by calculating pass yards per attempt across sources
and dividing the pass yards for the source with pass yards per attempt across
sources.
- pass
Passing stats
- rush
Rushing stats
- rec
Receiving stats
- misc
Miscellaneous offensive stats
- ret
Return stats
- kick
Kicking stats
- dst
DST stats
- idp
IDP stats
Usage
1
stats_by_category(data_results)
MrDAndersen/ffwebscrape documentation built on May 22, 2019, 1:51 p.m.
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View source: R/stats_aggregation.R
Description
Breaks the data into the following categories, and imputes missing values based on rate stats across sources. For example, if passing attemts are missing then they will be imputed by calculating pass yards per attempt across sources and dividing the pass yards for the source with pass yards per attempt across sources.
- pass
Passing stats
- rush
Rushing stats
- rec
Receiving stats
- misc
Miscellaneous offensive stats
- ret
Return stats
- kick
Kicking stats
- dst
DST stats
- idp
IDP stats
Usage
1 | stats_by_category(data_results)
|
R Package Documentation
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