tidyfst - More updates by getting feedback of the users

This version is rather mature after tests.

Scientific Software - Peer-reviewed - R
Published by hope-data-science over 3 years ago

tidyfst - Get new features from data.table v1.13.0

Scientific Software - Peer-reviewed - R
Published by hope-data-science over 5 years ago

tidyfst - Debug for more robustness

Scientific Software - Peer-reviewed - R
Published by hope-data-science over 5 years ago

tidyfst - Just waiting for updates of data.table

Update vignettes, improve and update two functions.

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - 九五，飞龙在天

Modify the as_dt to suppress the process of making copy, would be much faster.

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - 九四，或跃在渊

Remove in place replacement facilities once and for all. For that usage, looking forward to the new package tidyft.

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - Powerful upgrade

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - Super improvement on speed and syntax

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - Enhanced version of tidyfst

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.

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - Remove tibble method and improve the select method

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - First release on CRAN!

tidyfst is now on CRAN for direct download from "install.packages".

Scientific Software - Peer-reviewed - R
Published by hope-data-science almost 6 years ago

tidyfst - Birthday of tidyfst!

Scientific Software - Peer-reviewed - R
Published by hope-data-science about 6 years ago