Package index • svBase

All functions
`aka()` `print(<aka>)` `str(<aka>)`	Create an alias (also known as) for an object whose a short help page and/or original help page can be viewed with .?obj.
`%->%` `%<-%` `collect(<default>)`	Alternate assignment (multiple and/or collect results from dplyr)
`as_dtx()` `as_dtrm()` `as_dtf()` `as_dtt()` `as_dtbl()` `default_dtx()` `as.matrix(<tbl_df>)` `as_matrix()`	Coerce objects into data.trames, data.frames, data.tables, tibbles or matrices
`collect_dtx()` `collect_dtrm()` `collect_dtf()` `collect_dtt()` `collect_dtbl()`	Force computation of a lazy tidyverse object
`data_dot_mechanism`	The data-dot mechanism
`dtx()` `dtrm()` `dtbl()` `dtf()` `dtt()`	Create a data frame (data.trame, base's data.frame, data.table or tibble's tbl_df)
`dtx_rows()` `dtrm_rows()` `dtf_rows()` `dtt_rows()` `dtbl_rows()`	Row-wise creation of a data frame
`expr_funs()`	Find all functions in an Expression
`formula_masking()`	Formula-masking interface using either standard evaluation, or formulas
`formula_select()`	Formula-select is similar to tidy-select in the tidyverse, but using formulas
`list_fstat_functions()` `fn()` `fna()` `%replacef%` `%replace_fillf%` `%-f%` `%+f%` `%-+f%` `%/f%` `%/100f%` `%f%` `%modf%` `%-modf%`	Fast (flexible and friendly) statistical functions (mainly from collapse) for matrix-like and data frame objects
`gettext_()` `gettextf_()` `ngettext_()` `test_gettext_lang()`	Translate text messages in a different language than the one currently defined in the R session
`is_dtx()` `is_dtrm()` `is_dtf()` `is_dtt()` `is_dtbl()`	Test if the object is a data frame (data.trame, data.frame, data.table or tibble)
`labelise()` `labelize()` `cl()` `unlabelise()` `unlabelize()`	Set label (and units)
`prepare_data_dot()` `prepare_data_dot2()` `recall_with_data_dot()` `recall_with_data_dot2()`	Prepare a data_dot function
`process_error_msg()`	Process error message (replace it with a better version)
`retarget()`	Retarget a formula to a different environment
`section()` `print(<section>)` `str(<section>)` `get_section()`	Create a section in a list (collection of functions and other objects).
`list_speedy_functions()` `sgroup_by()` `sungroup()` `srename()` `srename_with()` `sfilter()` `sfilter_ungroup()` `sselect()` `smutate()` `smutate_ungroup()` `stransmute()` `stransmute_ungroup()` `ssummarise()` `sfull_join()` `sleft_join()` `sright_join()` `sinner_join()` `sbind_rows()` `scount()` `stally()` `sadd_count()` `sadd_tally()` `sbind_cols()` `sarrange()` `spull()` `sdistinct()` `sdrop_na()` `sreplace_na()` `spivot_longer()` `spivot_wider()` `suncount()` `sunite()` `sseparate()` `sseparate_rows()` `sfill()` `sextract()`	Speedy functions (mainly from collapse and data.table) to manipulate data frames
`stop_()` `warning_()` `stop_top_call()` `object_info()`	Enhanced stop() and warning()
`$`(<subsettable_type>) `$`(<subsettable_type2>) `$`(<subsettable_which>) `name_function_type()` `list_types()` `get_type()` `args_type()` `.DollarNames(<subsettable_type>)`	Define a function as being 'subsettable' using $ operator
`svBase` `svBase-package`	Base Objects like Data Frames for 'SciViews::R'
`list_tidy_functions()` `filter_ungroup()` `mutate_ungroup()` `transmute_ungroup()`	Tidy functions (mainly from dplyr and tidyr) to manipulate data frames

Reference

All functions