The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Version 2023.4.25

• apply_fn_via_hash_table extracts the unique input values, applies the given function to it to create a hash table (containing unique input/output combinations), and then matches the original input to the hash table to obtain the desired output. This can dramatically speed up computation if there is a lot of data and a limited amount of unique values.

Version 2022.6.20

• Submitted to CRAN
• Added additional documentation.

Version 2022.6.8

• Submitted to CRAN
• all_list_elements_null_or_df renamed to is_all_list_elements_null_or_df
• all_list_elements_null_or_list renamed to is_all_list_elements_null_or_list
• all_list_elements_null_or_fully_named_list renamed to is_all_list_elements_null_or_fully_named_list
• split_equal renamed to easy_split

Version 2022.4.28

• split_equal (Split a vector into a list with equal sized elements)
• is_fully_named_list (Is this a fully named list?)
• all_list_elements_null_or_df (Are all elements in a list null or data.frames?)
• all_list_elements_null_or_list (Are all elements in a list null or lists?)
• all_list_elements_null_or_fully_named_list (Are all elements in a list null or fully named lists?)
• unnest_dfs_within_fully_named_list (Unnest data.frames within fully named list)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.