
CRAN . R-PROJECT . ORG {
}
Title:
Using .SD for Data Analysis
Description:
No description found...
Website Age:
25 years and 8 months (reg. 1999-10-27).
Matching Content Categories {π}
- Sports
- Social Networks
- Education
Content Management System {π}
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Website use litedown 0.7.
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π Phenomenal Traffic: 5M - 10M visitors per month
Based on our best estimate, this website will receive around 9,329,523 visitors per month in the current month.
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While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Cran.r-project.org might be plotting its profit, but the way they're doing it isn't detectable yet.
Keywords {π}
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Topics {βοΈ}
south end grounds 20-simple-distinct-colors/ col16 = character/factor/numeric types union grounds era vary depending real-world feel ve pre-downloaded fwrite recently gained demonstrate success head vary substantially depending vaguely bell-shaped earned runs average fewer runs allowed regular expression integer datatable-reference-semantics silently corrupted code desired index dynamically feature improvement requests robust statistical analysis short script leveraging fit ols coefficient pattern-based matching smart/strict control 'teamidlahman45' column positions change tablesβ contents familiar specification era ~ 'teamidbr' batch-convert groups common grouped operations simple usage lends 'teamidretro' class changing str case requires nrow form era ~ lowest era hand side 2 previewing lahman data teams[[fct_idx[1l]]] angels stadium teams[[fkt[1l]]] chi common type bos pitching records statistics kek distinct colors = teamid] teams[ filter column names cle
Questions {β}
- *see ?
- How does the (linear) relationship between W (wins) and ERA vary depending on which other covariates are included in the specification?
- Table internals which massively speed up the most common grouped operations like sum or mean β see ?
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