dplyr verbs for stars objects; package dplyr needs to be loaded before these methods can be used for stars objects.
Usage
filter.stars(.data, ...)
filter.stars_proxy(.data, ...)
mutate.stars(.data, ...)
mutate.stars_proxy(.data, ...)
transmute.stars(.data, ...)
transmute.stars_proxy(.data, ...)
select.stars(.data, ...)
select.stars_proxy(.data, ...)
rename.stars(.data, ...)
rename.stars_proxy(.data, ...)
pull.stars(.data, var = -1)
pull.stars_proxy(.data, ...)
as.tbl_cube.stars(x, ...)
slice.stars(.data, along, index, ..., drop = length(index) == 1)
slice.stars_proxy(.data, along, index, ...)
replace_na.stars(data, replace, ...)
replace_na.stars_proxy(data, ...)Arguments
- .data
object of class
stars- ...
see filter
- var
see pull
- x
object of class
stars- along
name or index of dimension to which the slice should be applied
- index
integer value(s) for this index
- drop
logical; drop dimensions that only have a single index?
- data
data set to work on
- replace
see replace_na: list with variable=value pairs, where value is the replacement value for NA's
Examples
tif = system.file("tif/L7_ETMs.tif", package = "stars")
x1 = read_stars(tif)
if (require(dplyr, quietly = TRUE)) {
x1 %>% slice("band", 2:3)
x1 %>% slice("x", 50:100)
}
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
#> stars object with 3 dimensions and 1 attribute
#> attribute(s):
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> L7_ETMs.tif 11 56 68 70.50099 82 252
#> dimension(s):
#> from to offset delta refsys point x/y
#> x 50 100 288776 28.5 SIRGAS 2000 / UTM zone 25S FALSE [x]
#> y 1 352 9120761 -28.5 SIRGAS 2000 / UTM zone 25S FALSE [y]
#> band 1 6 NA NA NA NA