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Published March 2, 2020 | Version v0.7.7
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hope-data-science/tidyfst: Enhanced version of tidyfst

Creators

  • 1. Fudan University

Description

  1. Optimize group_dt. First, it is faster than before because I use [][] instead of %>%. (Using %>% for .SD is slow) Second, I design an alternative to use .SD directly in group_dt, which might improve the efficiency further.
  2. Debug filter_dt.
  3. Add fill_na_dt to fill NAs in data.table. Debug all missing functions. Examples are refreshed.
  4. Debug mutate_when.
  5. Add complete_dt to complete a data.frame like tidyr::complete.
  6. Add dummy_dt to get dummy variables from columns.
  7. Add t_dt to transpose data frame efficiently.
  8. Remove the export of "as.data.table", add two functions:as_dt and in_dt to create a short cut to data.table facilities.

Files

hope-data-science/tidyfst-v0.7.7.zip

Files (735.5 kB)

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