View source: R/find_missing_starts.R
| find_missing_starts | R Documentation | 
`data`Tells you which values and (optionally) skip-to-numbers that are
recursively removed when using the "l_starts" method with `remove_missing_starts`
set to TRUE.
find_missing_starts(data, n, starts_col = NULL, return_skip_numbers = TRUE)
data | 
 
 N.B. If   | 
n | 
 List of starting positions. Skip values by  See   | 
starts_col | 
 Name of column with values to match
when   | 
return_skip_numbers | 
 Return   | 
List of start values and skip-to-numbers or a vector with the start values.
Returns NULL if no values were found.
N.B. If `data` is a grouped data.frame,
the function is applied group-wise and the output is a
list of either vectors or lists.
The names are based on the group indices
(see dplyr::group_indices()).
Ludvig Renbo Olsen, r-pkgs@ludvigolsen.dk
Other l_starts tools: 
differs_from_previous(),
find_starts(),
group(),
group_factor()
# Attach packages
library(groupdata2)
# Create a data frame
df <- data.frame(
  "a" = c("a", "a", "b", "b", "c", "c"),
  stringsAsFactors = FALSE
)
# Create list of starts
starts <- c("a", "e", "b", "d", "c")
# Find missing starts with skip_to numbers
find_missing_starts(df, starts, starts_col = "a")
# Find missing starts without skip_to numbers
find_missing_starts(df, starts,
  starts_col = "a",
  return_skip_numbers = FALSE
)
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