У меня есть список, в котором я применяю следующее map
к:
modified_list <- map(boundary_lists,
~tibble(
x = seq(.x$minX, .x$maxX, length.out = 200),
y = seq(.x$minY, .x$maxY, length.out = 200)
)
)
Я пытаюсь расширить это, добавив следующее:
rep(modified_list[[1]]$x, each = 200)
rep(modified_list[[1]]$y, time = 200)
Я пытался :
map(modified_list, ~mutate(.,
xx = rep(.x$x, each = 200),
yy = rep(.y$y)
)
)
Что возвращает ошибку. Как я могу добавить rep()
к сопоставленному tibble()
?
Данные:
boundary_lists <- list(structure(list(minX = 2, maxX = 3.8, minY = 4.9, maxY = 7.9), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 3, maxX = 6.9,
minY = 4.9, maxY = 7.9), row.names = c(NA, -1L), class = "data.frame"))
> boundary_lists %>% dput()
list(structure(list(minX = 2, maxX = 3.8, minY = 4.9, maxY = 7.9), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 3, maxX = 6.9,
minY = 4.9, maxY = 7.9), row.names = c(NA, -1L), class = "data.frame"),
structure(list(minX = 1, maxX = 2.5, minY = 4.9, maxY = 7.9), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 4.9, maxX = 7.9,
minY = 2, maxY = 3.8), row.names = c(NA, -1L), class = "data.frame"),
structure(list(minX = 3, maxX = 6.9, minY = 2, maxY = 3.8), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 1, maxX = 2.5,
minY = 2, maxY = 3.8), row.names = c(NA, -1L), class = "data.frame"),
structure(list(minX = 4.9, maxX = 7.9, minY = 3, maxY = 6.9), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 2, maxX = 3.8,
minY = 3, maxY = 6.9), row.names = c(NA, -1L), class = "data.frame"),
structure(list(minX = 1, maxX = 2.5, minY = 3, maxY = 6.9), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 4.9, maxX = 7.9,
minY = 1, maxY = 2.5), row.names = c(NA, -1L), class = "data.frame"),
structure(list(minX = 2, maxX = 3.8, minY = 1, maxY = 2.5), row.names = c(NA,
-1L), class = "data.frame"), structure(list(minX = 3, maxX = 6.9,
minY = 1, maxY = 2.5), row.names = c(NA, -1L), class = "data.frame"))