R Under development (unstable) (2024-11-06 r87293 ucrt) -- "Unsuffered Consequences"
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> suppressPackageStartupMessages(library(stars))
> 
> if (require(dplyr, quietly = TRUE)) {
+ tif = system.file("tif/L7_ETMs.tif", package = "stars")
+ x <- read_stars(tif)
+ (y <- x %>% select(L7_ETMs.tif))
+ (y <- x %>% filter(band > 2))
+ (z <- x %>% mutate(foo = 2* L7_ETMs.tif))
+ x %>% pull(L7_ETMs.tif) %>% class()
+ x %>% filter(x > 289900)
+ x %>% slice("x", 50:100)
+ 
+ suppressPackageStartupMessages(library(ggplot2))
+ ggplot() + geom_stars(data = x) + coord_equal() + facet_wrap(~band)
+ ggplot() + geom_stars(data = x[,c(1:50,52:100),c(1:45, 50:60)]) +
+ 	coord_equal()
+ ggplot() + geom_stars(data = x[,1:10,1:10,1:2], sf = TRUE) + facet_wrap(~band)
+ 
+ 
+ # see https://github.com/r-spatial/stars/issues/539 :
+ x <- read_stars(system.file("tif/L7_ETMs.tif", package = "stars"))
+ y <- transmute(x, L7_ETMs.tif = units::set_units(L7_ETMs.tif, degree_C)) # same as x but with units
+ 
+ x - slice(x, 'band', 1) # runs as expected, recycling the second object
+ try(y - slice(x, 'band', 1)) # fails as expected because x is unitless
+ try(x - slice(y, 'band', 1)) # fails as expected 
+ y - slice(y, 'band', 1) # runs as expected
+ }

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

Error in Ops.units(X[[i]], ...) : 
  both operands of the expression should be "units" objects
Error in Ops.units(X[[i]], ...) : 
  both operands of the expression should be "units" objects
stars object with 3 dimensions and 1 attribute
attribute(s):
                 Min. 1st Qu. Median     Mean 3rd Qu. Max.
L7_ETMs.tif [°C] -184     -19     -8 -10.2353       0  131
dimension(s):
     from  to  offset delta                     refsys point x/y
x       1 349  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    
> 
> proc.time()
   user  system elapsed 
   1.92    0.40    2.31