Tplyr 1.2.1

Tplyr 1.2.0

Tplyr 1.1.0

Tplyr 1.0.2

Tplyr 1.0.1

Tplyr 1.0.0

Tplyr 0.4.4

Tplyr 0.4.3

Tplyr 0.4.2

Tplyr 0.4.1

Tplyr 0.4.0

Tplyr 0.3.1

Tplyr 0.2.2

Tplyr 0.2.1

Tplyr 0.1.4

Tplyr 0.1.3

Tplyr 0.1.2

Tplyr 0.1.1

Initial release onto CRAN.

Tplyr 0.1.0

Beta release for Tplyr with introduction of numerous new features:

General updates: - Calculate your header N counts based on the population dataset or the target dataset. The alpha release had an option to set the population data but this wasn’t actually used anywhere in the internals. - Use these header N counts as token replacements when using the add_column_headers function. - Order variables are now added to the built dataset to allow you to sort the output dataset as you wish with numeric variables. - Count layer updates: - Optionally use the population data N counts as denominators for percent calculation. - For multi-level count summaries, nest the row label columns together to present both row labels in a single column - You can now present both distinct and non-distinct counts instead of one or the other - Sorting options allow you to order results from the target variable values or from derived counts within a specified column - Risk difference calculations can now be added as additional columns, with flexible options for presentation - Descriptive statistics layer updates: - The custom summary functionality has been updated to apply to multi-variable summaries, which results in an interface change - Automatic decimal precision has been added to allow you to base the presentation on the precision of the data as collected


Initial alpha release of Tplyr