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# Tidyverse methods (See also join.R)
#' 'tidyverse' methods for \code{sftime} objects
#'
#' 'tidyverse' methods for \code{sftime} objects. Geometries are sticky, use
#' \code{\link{as.data.frame}} to let \code{dplyr}'s own methods drop them. Use
#' these methods without the \code{.sftime} suffix and after loading the
#' 'tidyverse' package with the generic (or after loading package 'tidyverse').
#' @name tidyverse
#' @inheritParams sf::tidyverse
#' @inheritParams tidyr::pivot_longer
#' @param x An object of class \code{sftime}.
#' @param .data An object of class \code{stime}.
#' @return
#' \itemize{
#' \item For \code{_join} methods: An object of class \code{sftime}
#' representing the joining result of \code{x} and \code{y}. See
#' \code{\link[dplyr]{mutate-joins}}.
#' \item For \code{filter}: See \code{\link[dplyr]{filter}}.
#' \item For \code{arrange}: See \code{\link[dplyr]{arrange}}.
#' \item For \code{group_by} and \code{ungroup}: A grouped \code{sftime}
#' object. See \code{\link[dplyr]{arrange}}.
#' \item For \code{rowwise}: An \code{sftime} object. See
#' \code{\link[dplyr]{rowwise}}.
#' \item For \code{mutate} and \code{transmute}: See
#' \code{\link[dplyr]{mutate}}.
#' \item For \code{select}: See \code{\link[dplyr]{select}}. If the active
#' time column is not explicitly selected, a \code{sf} object is returned.
#' \item For \code{rename}: See \code{\link[dplyr]{rename}}.
#' \item For \code{slice}: See \code{\link[dplyr]{slice}}.
#' \item For \code{summarize} and \code{summarise}: See
#' \code{\link[dplyr]{summarise}}.
#' \item For \code{distinct}: See \code{\link[dplyr]{distinct}}.
#' \item For \code{gather}: See \code{\link[tidyr]{gather}}.
#' }
#'
NULL
#' @rdname tidyverse
#' @examples
#' ## filter
#' filter(x1, a <= 2)
#'
filter.sftime <- function(.data, ..., .dots) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## arrange
#' arrange(x1, dplyr::desc(a))
#'
arrange.sftime <- function(.data, ..., .dots) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## group_by
#' group_by(x1, time)
#'
group_by.sftime <- function(.data, ..., add = FALSE) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## ungroup
#' ungroup(group_by(x1, time))
#'
ungroup.sftime <- function(.data, ...) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## rowwise
#' x1 %>%
#' mutate(a1 = 5:7) %>%
#' rowwise() %>%
#' mutate(a2 = mean(a, a1))
#'
rowwise.sftime <- function(.data, ...) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## mutate
#' x1 %>%
#' mutate(a1 = 5:7)
#'
mutate.sftime <- function(.data, ..., .dots) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## transmute
#' x1 %>%
#' transmute(a1 = 5:7)
#'
transmute.sftime <- function(.data, ..., .dots) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## select
#' x1 %>%
#' select(-time) %>%
#' select(geometry)
#'
select.sftime <- function(.data, ...) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## rename
#' x1 %>%
#' rename(a1 = a)
#'
rename.sftime <- function(.data, ...) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## slice
#' x1 %>%
#' slice(1:2)
#'
slice.sftime <- function(.data, ..., .dots) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## summarise
#' x1 %>%
#' summarise(time = mean(time))
#'
#' x1 %>%
#' summarize(time = mean(time))
#'
summarise.sftime <- function(.data, ..., .dots, do_union = TRUE, is_coverage = FALSE) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
summarize.sftime <- summarise.sftime
#' @rdname tidyverse
#' @examples
#' ## distinct
#' x1 %>%
#' distinct(geometry)
#'
distinct.sftime <- function(.data, ..., .keep_all = FALSE) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## gather
#' library(tidyr)
#' x1 %>%
#' mutate(a1 = 5:7) %>%
#' gather(key = "variable", value = "value", a, a1)
#'
gather.sftime <- function(data, key, value, ..., na.rm = FALSE, convert = FALSE, factor_key = FALSE) {
reclass_sftime(NextMethod(), time_column_name = attr(data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## pivot_longer
#' x1 %>%
#' mutate(a1 = 5:7) %>%
#' pivot_longer(cols = c("a", "a1"), names_to = "variable", values_to = "value")
#'
pivot_longer.sftime <- function (data, cols, names_to = "name", names_prefix = NULL,
names_sep = NULL, names_pattern = NULL, names_ptypes = NULL,
names_transform = NULL, names_repair = "check_unique",
values_to = "value", values_drop_na = FALSE, values_ptypes = NULL,
values_transform = NULL, ...) {
reclass_sftime(NextMethod(), time_column_name = attr(data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## spread
#' x1 %>%
#' mutate(a1 = 5:7) %>%
#' gather(key = "variable", value = "value", a, a1) %>%
#' spread(key = "variable", value = "value")
#'
spread.sftime <- function(data, key, value, fill = NA, convert = FALSE, drop = TRUE,
sep = NULL) {
reclass_sftime(NextMethod(), time_column_name = attr(data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## sample_n
#' set.seed(234)
#' x1 %>%
#' sample_n(size = 10, replace = TRUE)
#'
sample_n.sftime <- function(tbl, size, replace = FALSE, weight = NULL, .env = parent.frame()) {
reclass_sftime(NextMethod(), time_column_name = attr(tbl, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## sample_frac
#' x1 %>%
#' sample_frac(size = 10, replace = TRUE) %>%
#' sample_frac(size = 0.1, replace = FALSE)
#'
sample_frac.sftime <- function(tbl, size = 1, replace = FALSE, weight = NULL, .env = parent.frame()) {
reclass_sftime(NextMethod(), time_column_name = attr(tbl, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## nest
#' x1 %>%
#' nest(a1 = -time)
#'
nest.sftime <- function (.data, ...) {
reclass_sftime(NextMethod(), time_column_name = attr(.data, "time_column"))
}
#' @name tidyverse
#' @examples
#' ## unnest
#' x1 %>%
#' mutate(a1 = list(1, c(1, 2), 5)) %>%
#' unnest(a1)
#'
unnest.sftime = function(data, ..., .preserve = NULL) {
reclass_sftime(NextMethod(), time_column_name = attr(data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## separate
#' x1 %>%
#' mutate(x = c(NA, "a.b", "a.d")) %>%
#' separate(x, c("A", "B"))
#'
separate.sftime <- function(data, col, into, sep = "[^[:alnum:]]+", remove = TRUE,
convert = FALSE, extra = "warn", fill = "warn", ...) {
time_column_name <- attr(data, "time_column")
class(data) <- setdiff(class(data), "sftime")
# modified from sftime (tidyverse.R)
if (!requireNamespace("rlang", quietly = TRUE))
stop("rlang required: install first?")
col <- rlang::enquo(col)
res <- tidyr::separate(data, !!col, into = into,
sep = sep, remove = remove, convert = convert, extra = extra, fill = fill, ...)
reclass_sftime(res, time_column_name = time_column_name)
}
#' @name tidyverse
#' @examples
#' ## unite
#' x1 %>%
#' mutate(x = c(NA, "a.b", "a.d")) %>%
#' separate(x, c("A", "B")) %>%
#' unite(x, c("A", "B"))
#'
unite.sftime <- function(data, col, ..., sep = "_", remove = TRUE) {
reclass_sftime(NextMethod(), time_column_name = attr(data, "time_column"))
}
#' @rdname tidyverse
#' @examples
#' ## separate_rows
#' x1 %>%
#' mutate(z = c("1", "2,3,4", "5,6")) %>%
#' separate_rows(z, convert = TRUE)
#'
separate_rows.sftime <- function(data, ..., sep = "[^[:alnum:]]+", convert = FALSE) {
reclass_sftime(NextMethod(), time_column_name = attr(data, "time_column"))
}
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