gatherx: Enhanced gather supporting keep argument
In moodymudskipper/tidyx: modified tidyverse functions for interractive use

Description Usage Arguments

Enhanced gather supporting keep argument

1 2	gatherx(data, key = "key", value = "value", ..., na.rm = FALSE, convert = FALSE, factor_key = FALSE, keep = everything())

`data`	A data frame.
`key`	Names of new key and value columns, as strings or symbols. This argument is passed by expression and supports quasiquotation (you can unquote strings and symbols). The name is captured from the expression with `rlang::quo_name()` (note that this kind of interface where symbols do not represent actual objects is now discouraged in the tidyverse; we support it here for backward compatibility).
`value`	Names of new key and value columns, as strings or symbols. This argument is passed by expression and supports quasiquotation (you can unquote strings and symbols). The name is captured from the expression with `rlang::quo_name()` (note that this kind of interface where symbols do not represent actual objects is now discouraged in the tidyverse; we support it here for backward compatibility).
`...`	A selection of columns. If empty, all variables are selected. You can supply bare variable names, select all variables between x and z with `x:z`, exclude y with `-y`. For more options, see the `dplyr::select()` documentation. See also the section on selection rules below.
`na.rm`	If `TRUE`, will remove rows from output where the value column in `NA`.
`convert`	If `TRUE` will automatically run `type.convert()` on the key column. This is useful if the column names are actually numeric, integer, or logical.
`factor_key`	If `FALSE`, the default, the key values will be stored as a character vector. If `TRUE`, will be stored as a factor, which preserves the original ordering of the columns.
`keep`	columns to keep, additionally to columns mentionned in `...`. Passed to `select` so supports select helper, including tidyx helper `nothing()`.