extract.ir: Extract a character column in an 'ir' object into multiple...

In ir: Functions to Handle and Preprocess Infrared Spectra

Extract a character column in an ir object into multiple columns using regular expression groups

Description

Extract a character column in an ir object into multiple columns using regular expression groups

Usage

extract.ir(
  data,
  col,
  into,
  regex = "([[:alnum:]]+)",
  remove = TRUE,
  convert = FALSE,
  ...
)

Arguments

data	An object of class ir.
col	Column name or position. This is passed to tidyselect::vars_pull(). This argument is passed by expression and supports quasiquotation (you can unquote column names or column positions).
into	Names of new variables to create as character vector. Use NA to omit the variable in the output.
regex	A string representing a regular expression used to extract the desired values. There should be one group (defined by ()) for each element of into.
remove	If TRUE, remove input column from output data frame.
convert	If TRUE, will run type.convert() with as.is = TRUE on new columns. This is useful if the component columns are integer, numeric or logical. NB: this will cause string "NA"s to be converted to NAs.
...	Additional arguments passed on to methods.

Value

data with an extracted character column. See tidyr::extract().

Source

tidyr::extract()

See Also

Other tidyverse: arrange.ir(), distinct.ir(), filter-joins, filter.ir(), group_by, mutate-joins, mutate, nest, pivot_longer.ir(), pivot_wider.ir(), rename, rowwise.ir(), select.ir(), separate.ir(), separate_rows.ir(), slice, summarize, unite.ir()

Examples

## extract
ir_sample_data %>%
  tidyr::extract(
    id_sample,  "a"
  )

ir documentation built on May 2, 2022, 5:06 p.m.