These functions work like tidyr::separate()
and tidyr::unite()
,
combining information from multiple columns into single column. You
can also create and separate columns using dplyr::mutate()
and
the constructors (geo_xy()
, geo_segment()
, and geo_rect()
).
unite_xy(data, col, x, y, remove = TRUE) separate_xy(data, col, into = c("x", "y"), remove = TRUE) unite_xyz(data, col, x, y, z, remove = TRUE) separate_xyz(data, col, into = c("x", "y", "z"), remove = TRUE) unite_segment(data, col, x0, y0, x1, y1, remove = TRUE) separate_segment(data, col, into = c("x0", "y0", "x1", "y1"), remove = TRUE) unite_rect(data, col, xmin, ymin, xmax, ymax, remove = TRUE) separate_rect( data, col, into = c("xmin", "ymin", "xmax", "ymax"), remove = TRUE )
data | A |
---|---|
col | A column name for the united object |
x | x, y, and z coordinate vectors |
y | x, y, and z coordinate vectors |
remove | Use |
into | Column names for the separated vectors |
z | x, y, and z coordinate vectors |
x0 | Values for the start and end coordinates. |
y0 | Values for the start and end coordinates. |
x1 | Values for the start and end coordinates. |
y1 | Values for the start and end coordinates. |
xmin | Border values, recycled to a common
length using |
ymin | Border values, recycled to a common
length using |
xmax | Border values, recycled to a common
length using |
ymax | Border values, recycled to a common
length using |
data
, with new column(s) col
/into
#> # A tibble: 1 x 3 #> xy c d #> <xy> <dbl> <dbl> #> 1 (1 2) 3 4separate_xy(united, xy)#> # A tibble: 1 x 4 #> x y c d #> <dbl> <dbl> <dbl> <dbl> #> 1 1 2 3 4(united <- unite_xyz(tbl, "xyz", a, b, c))#> # A tibble: 1 x 2 #> xyz d #> <xyz> <dbl> #> 1 (1 2 3) 4separate_xyz(united, xyz)#> # A tibble: 1 x 4 #> x y z d #> <dbl> <dbl> <dbl> <dbl> #> 1 1 2 3 4(united <- unite_rect(tbl, "rect", a, b, c, d))#> # A tibble: 1 x 1 #> rect #> <rect> #> 1 (1 2...3 4)separate_rect(united, rect)#> # A tibble: 1 x 4 #> xmin ymin xmax ymax #> <dbl> <dbl> <dbl> <dbl> #> 1 1 2 3 4# need to modify geo_segment() constructor! # (united <- unite_segment(tbl, "seg", a, b, c, d)) # separate_segment(united, seg)