fill: Fill in missing values with previous or next value

In hadley/tidyr: Tidy Messy Data

Fill in missing values with previous or next value

Description

Fills missing values in selected columns using the next or previous entry. This is useful in the common output format where values are not repeated, and are only recorded when they change.

Usage

fill(data, ..., .direction = c("down", "up", "downup", "updown"))

Arguments

data	A data frame.
...	<tidy-select> Columns to fill.
.direction	Direction in which to fill missing values. Currently either "down" (the default), "up", "downup" (i.e. first down and then up) or "updown" (first up and then down).

Details

Missing values are replaced in atomic vectors; NULLs are replaced in lists.

Grouped data frames

With grouped data frames created by dplyr::group_by(), fill() will be applied within each group, meaning that it won't fill across group boundaries.

Examples

# direction = "down" --------------------------------------------------------
# Value (year) is recorded only when it changes
sales <- tibble::tribble(
  ~quarter, ~year, ~sales,
  "Q1",    2000,    66013,
  "Q2",      NA,    69182,
  "Q3",      NA,    53175,
  "Q4",      NA,    21001,
  "Q1",    2001,    46036,
  "Q2",      NA,    58842,
  "Q3",      NA,    44568,
  "Q4",      NA,    50197,
  "Q1",    2002,    39113,
  "Q2",      NA,    41668,
  "Q3",      NA,    30144,
  "Q4",      NA,    52897,
  "Q1",    2004,    32129,
  "Q2",      NA,    67686,
  "Q3",      NA,    31768,
  "Q4",      NA,    49094
)
# `fill()` defaults to replacing missing data from top to bottom
sales %>% fill(year)

# direction = "up" ----------------------------------------------------------
# Value (pet_type) is missing above
tidy_pets <- tibble::tribble(
  ~rank, ~pet_type, ~breed,
  1L,        NA,    "Boston Terrier",
  2L,        NA,    "Retrievers (Labrador)",
  3L,        NA,    "Retrievers (Golden)",
  4L,        NA,    "French Bulldogs",
  5L,        NA,    "Bulldogs",
  6L,     "Dog",    "Beagles",
  1L,        NA,    "Persian",
  2L,        NA,    "Maine Coon",
  3L,        NA,    "Ragdoll",
  4L,        NA,    "Exotic",
  5L,        NA,    "Siamese",
  6L,     "Cat",    "American Short"
)

# For values that are missing above you can use `.direction = "up"`
tidy_pets %>%
  fill(pet_type, .direction = "up")

# direction = "downup" ------------------------------------------------------
# Value (n_squirrels) is missing above and below within a group
squirrels <- tibble::tribble(
  ~group,    ~name,     ~role,     ~n_squirrels,
  1,      "Sam",    "Observer",   NA,
  1,     "Mara", "Scorekeeper",    8,
  1,    "Jesse",    "Observer",   NA,
  1,      "Tom",    "Observer",   NA,
  2,     "Mike",    "Observer",   NA,
  2,  "Rachael",    "Observer",   NA,
  2,  "Sydekea", "Scorekeeper",   14,
  2, "Gabriela",    "Observer",   NA,
  3,  "Derrick",    "Observer",   NA,
  3,     "Kara", "Scorekeeper",    9,
  3,    "Emily",    "Observer",   NA,
  3, "Danielle",    "Observer",   NA
)

# The values are inconsistently missing by position within the group
# Use .direction = "downup" to fill missing values in both directions
squirrels %>%
  dplyr::group_by(group) %>%
  fill(n_squirrels, .direction = "downup") %>%
  dplyr::ungroup()

# Using `.direction = "updown"` accomplishes the same goal in this example

hadley/tidyr documentation built on Feb. 3, 2024, 10:45 a.m.