scrutiny (version 0.5.0)

decimal_places_df: Count decimal places in a data frame

Description

For every value in a column, decimal_places_df() counts its decimal places. By default, it operates on all columns that are coercible to numeric.

Usage

decimal_places_df(
  data,
  cols = everything(),
  check_numeric_like = TRUE,
  sep = "\\."
)

Value

Data frame. The values of the selected columns are replaced by the numbers of their decimal places.

Arguments

data

Data frame.

cols

Select columns from data using tidyselect. Default is everything(), but restricted by check_numeric_like.

check_numeric_like

Logical. If TRUE (the default), the function only operates on numeric columns and other columns coercible to numeric, as determined by is_numeric_like().

sep

Substring that separates the mantissa from the integer part. Default is "\\.", which renders a decimal point.

See Also

Wrapped functions: decimal_places(), dplyr::across().

Examples

# Coerce all columns to string:
iris <- iris %>%
  tibble::as_tibble() %>%
  dplyr::mutate(across(everything(), as.character))

# The function will operate on all
# numeric-like columns but not on `"Species"`:
iris %>%
  decimal_places_df()

# Operate on some select columns only
# (from among the numeric-like columns):
iris %>%
  decimal_places_df(cols = starts_with("Sepal"))