Last updated on 2025-01-30 20:48:40 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.6-7 | 16.27 | 305.11 | 321.38 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.6-7 | 9.77 | 186.33 | 196.10 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.6-7 | 512.79 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 0.6-7 | 525.26 | NOTE | |||
| r-devel-windows-x86_64 | 0.6-7 | 20.00 | 302.00 | 322.00 | OK | |
| r-patched-linux-x86_64 | 0.6-7 | 17.44 | 287.17 | 304.61 | NOTE | |
| r-release-linux-x86_64 | 0.6-7 | 15.77 | 288.97 | 304.74 | NOTE | |
| r-release-macos-arm64 | 0.6-7 | 175.00 | NOTE | |||
| r-release-macos-x86_64 | 0.6-7 | 284.00 | NOTE | |||
| r-release-windows-x86_64 | 0.6-7 | 20.00 | 298.00 | 318.00 | NOTE | |
| r-oldrel-macos-arm64 | 0.6-7 | 156.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 0.6-7 | 255.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 0.6-7 | 21.00 | 381.00 | 402.00 | NOTE |
Version: 0.6-7
Check: examples
Result: ERROR
Running examples in ‘stars-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: aggregate.stars
> ### Title: spatially or temporally aggregate stars object
> ### Aliases: aggregate.stars aggregate
>
> ### ** Examples
>
> # aggregate time dimension in format Date
> tif = system.file("tif/L7_ETMs.tif", package = "stars")
> t1 = as.Date("2018-07-31")
> x = read_stars(c(tif, tif, tif, tif), along = list(time = c(t1, t1+1, t1+2, t1+3)))[,1:30,1:30]
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: read_stars ... create_dimension -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.6-7
Check: tests
Result: ERROR
Running ‘aggregate.R’ [2s/2s]
Running ‘align.R’ [2s/2s]
Comparing ‘align.Rout’ to ‘align.Rout.save’ ... OK
Running ‘area.R’ [1s/1s]
Comparing ‘area.Rout’ to ‘area.Rout.save’ ... OK
Running ‘crop.R’ [4s/5s]
Comparing ‘crop.Rout’ to ‘crop.Rout.save’ ... OK
Running ‘curvilinear.R’ [1s/1s]
Comparing ‘curvilinear.Rout’ to ‘curvilinear.Rout.save’ ... OK
Running ‘datasets.R’ [1s/1s]
Comparing ‘datasets.Rout’ to ‘datasets.Rout.save’ ... OK
Running ‘dimensions.R’ [1s/1s]
Running ‘downsample.R’ [1s/1s]
Comparing ‘downsample.Rout’ to ‘downsample.Rout.save’ ... OK
Running ‘ee.R’ [1s/2s]
Comparing ‘ee.Rout’ to ‘ee.Rout.save’ ... OK
Running ‘extract.R’ [1s/2s]
Comparing ‘extract.Rout’ to ‘extract.Rout.save’ ... OK
Running ‘gridtypes.R’ [1s/2s]
Running ‘mdim.R’ [1s/1s]
Running ‘nc.R’ [2s/2s]
Comparing ‘nc.Rout’ to ‘nc.Rout.save’ ... OK
Running ‘plot.R’ [2s/2s]
Running ‘predict.R’ [4s/5s]
Comparing ‘predict.Rout’ to ‘predict.Rout.save’ ... OK
Running ‘proxy.R’ [2s/3s]
Comparing ‘proxy.Rout’ to ‘proxy.Rout.save’ ... OK
Running ‘raster.R’ [8s/9s]
Comparing ‘raster.Rout’ to ‘raster.Rout.save’ ... OK
Running ‘rasterize.R’ [2s/3s]
Comparing ‘rasterize.Rout’ to ‘rasterize.Rout.save’ ... OK
Running ‘rectilinear.R’ [1s/2s]
Comparing ‘rectilinear.Rout’ to ‘rectilinear.Rout.save’ ... OK
Running ‘redimension.R’ [1s/2s]
Running ‘sf.R’ [2s/2s]
Running ‘sp.R’ [2s/3s]
Comparing ‘sp.Rout’ to ‘sp.Rout.save’ ... OK
Running ‘spacetime.R’ [2s/3s]
Running ‘spatstat.R’ [3s/4s]
Comparing ‘spatstat.Rout’ to ‘spatstat.Rout.save’ ... OK
Running ‘stars.R’ [6s/7s]
Comparing ‘stars.Rout’ to ‘stars.Rout.save’ ... OK
Running ‘subset.R’ [1s/2s]
Comparing ‘subset.Rout’ to ‘subset.Rout.save’ ... OK
Running ‘testthat.R’ [11s/13s]
Running ‘tidy.R’ [2s/2s]
Comparing ‘tidy.Rout’ to ‘tidy.Rout.save’ ... OK
Running ‘transform.R’ [1s/1s]
Comparing ‘transform.Rout’ to ‘transform.Rout.save’ ... OK
Running ‘warp.R’ [2s/3s]
Comparing ‘warp.Rout’ to ‘warp.Rout.save’ ... OK
Running ‘write.R’ [1s/1s]
Comparing ‘write.Rout’ to ‘write.Rout.save’ ... OK
Running the tests in ‘tests/aggregate.R’ failed.
Complete output:
> ## IGNORE_RDIFF_BEGIN
> library(stars)
Loading required package: abind
Loading required package: sf
Linking to GEOS 3.13.0, GDAL 3.10.1, PROJ 9.5.1; sf_use_s2() is TRUE
> ## IGNORE_RDIFF_END
>
> if (suppressPackageStartupMessages(require(sp, quietly = TRUE)) && require(spacetime, quietly = TRUE)) {
+ data(air) # this loads several datasets in .GlobalEnv
+ dim(air)
+ d = st_dimensions(station = st_set_crs(st_as_sfc(stations), 4326), time = dates)
+
+ blocks = st_make_grid(st_as_sfc("POLYGON ((5.871619 47.26986, 15.03811 47.26986, 15.03811 55.05653, 5.871619 55.05653, 5.871619 47.26986))", crs = 4326),
+ n = c(3,3))
+
+ print(aq <- st_as_stars(list(PM10 = air), dimensions = d))
+ print(a <- aggregate(aq, blocks, mean, na.rm = TRUE))
+ }
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_dimensions ... <Anonymous> -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/dimensions.R’ failed.
Complete output:
> # https://github.com/r-spatial/stars/issues/295
> suppressPackageStartupMessages(library(stars))
> raw <- read_stars(system.file("nc/bcsd_obs_1999.nc", package = "stars"))
pr, Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: read_stars ... create_dimension -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/gridtypes.R’ failed.
Complete output:
> suppressPackageStartupMessages(library(stars))
>
> # regular, but not spatial:
> d = st_dimensions(a = 1:3, b = 1:3, band = c("foo", "bar"))
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values
a 1 3 1 1 FALSE NULL
b 1 3 1 1 FALSE NULL
band 1 2 NA NA FALSE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
a b band X
1 1 1 foo 1
2 2 1 foo 2
3 3 1 foo 3
4 1 2 foo 4
> try(x <- st_bbox(st)) # error
Error in st_bbox.dimensions(st_dimensions(obj), ...) :
dimensions table does not have x & y, nor an sfc dimension
>
> # regular, geotransform:
> d = st_dimensions(x = 1:3, y = 1:3, band = c("foo", "bar"), .raster = c("x", "y"))
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values x/y
x 1 3 1 1 FALSE NULL [x]
y 1 3 1 1 FALSE NULL [y]
band 1 2 NA NA FALSE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
x y band X
1 1.5 1.5 foo 1
2 2.5 1.5 foo 2
3 3.5 1.5 foo 3
4 1.5 2.5 foo 4
> as.data.frame(st, add_max=TRUE)[1:4,]
x y band x_max y_max X
1 1 1 foo 2 2 1
2 2 1 foo 3 2 2
3 3 1 foo 4 2 3
4 1 2 foo 2 3 4
> st_bbox(st)
xmin ymin xmax ymax
1 1 4 4
>
> # rectilinear with offset given:
> xd = c(1, 2, 4)
> d = st_dimensions(x = xd, y = 1:3, band = c("foo", "bar"), .raster = c("x", "y"))
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values x/y
x 1 3 NA NA FALSE [1,2), [2,4), [4,6) [x]
y 1 3 1 1 FALSE NULL [y]
band 1 2 NA NA FALSE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
x y band X
1 1.5 1.5 foo 1
2 3.0 1.5 foo 2
3 5.0 1.5 foo 3
4 1.5 2.5 foo 4
> as.data.frame(st, add_max=TRUE)[1:4,]
x y band x_max y_max X
1 1 1 foo 2 2 1
2 2 1 foo 4 2 2
3 4 1 foo 6 2 3
4 1 2 foo 2 3 4
> st_bbox(st)
xmin ymin xmax ymax
1 1 6 4
>
> # rectilinear with midpoints given:
> xd = c(1, 2, 4)
> d = st_dimensions(x = xd, y = 1:3, band = c("foo", "bar"), .raster = c("x", "y"), cell_midpoints = TRUE)
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values x/y
x 1 3 NA NA FALSE [0.5,1.5), [1.5,3.0), [3.0,5.0) [x]
y 1 3 0.5 1 FALSE NULL [y]
band 1 2 NA NA FALSE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
x y band X
1 1.00 1 foo 1
2 2.25 1 foo 2
3 4.00 1 foo 3
4 1.00 2 foo 4
> as.data.frame(st, add_max=TRUE)[1:4,]
x y band x_max y_max X
1 0.5 0.5 foo 1.5 1.5 1
2 1.5 0.5 foo 3.0 1.5 2
3 3.0 0.5 foo 5.0 1.5 3
4 0.5 1.5 foo 1.5 2.5 4
> st_bbox(st)
xmin ymin xmax ymax
0.5 0.5 5.0 3.5
>
> # rectilinear with midpoints given, point support
> xd = c(1, 2, 4)
> d = st_dimensions(x = xd, y = 1:3, band = c("foo", "bar"), .raster = c("x", "y"), cell_midpoints = TRUE, point = TRUE)
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values x/y
x 1 3 NA NA TRUE 1, 2, 4 [x]
y 1 3 0.5 1 TRUE NULL [y]
band 1 2 NA NA TRUE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
x y band X
1 1 1 foo 1
2 2 1 foo 2
3 4 1 foo 3
4 1 2 foo 4
> as.data.frame(st, add_max=TRUE)[1:4,]
x y band x_max y_max X
1 1 0.5 foo 1 1.5 1
2 2 0.5 foo 2 1.5 2
3 4 0.5 foo 4 1.5 3
4 1 1.5 foo 1 2.5 4
> st_bbox(st)
xmin ymin xmax ymax
1.0 0.5 4.0 3.5
>
> # rectilinear with start/end given:
> #xd = stars:::make_intervals(start = c(1,2,4), end = c(2, 4, 8))
> xd = c(1, 2, 4, 8) # one more than dim of the data array
> d = st_dimensions(x = xd, y = 1:3, band = c("foo", "bar"), .raster = c("x", "y"))
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values x/y
x 1 3 NA NA FALSE [1,2), [2,4), [4,8) [x]
y 1 3 1 1 FALSE NULL [y]
band 1 2 NA NA FALSE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
x y band X
1 1.5 1.5 foo 1
2 3.0 1.5 foo 2
3 6.0 1.5 foo 3
4 1.5 2.5 foo 4
> as.data.frame(st, add_max=TRUE)[1:4,]
x y band x_max y_max X
1 1 1 foo 2 2 1
2 2 1 foo 4 2 2
3 4 1 foo 8 2 3
4 1 2 foo 2 3 4
> st_bbox(st)
xmin ymin xmax ymax
1 1 8 4
>
> # with sfc:
> sfc = st_sfc(st_point(0:1), st_point(2:1), st_point(4:3))
> d = st_dimensions(x = sfc, y = 1:3, band = c("foo", "bar"))
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values
x 1 3 NA NA TRUE POINT (0 1),...,POINT (4 3)
y 1 3 1 1 FALSE NULL
band 1 2 NA NA FALSE foo, bar
> as.data.frame(st, add_max=FALSE)[1:4,]
x y band X
1 POINT (0 1) 1 foo 1
2 POINT (2 1) 1 foo 2
3 POINT (4 3) 1 foo 3
4 POINT (0 1) 2 foo 4
> st_as_sf(st, long = TRUE)[1:4,]
Simple feature collection with 4 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 0 ymin: 1 xmax: 4 ymax: 3
CRS: NA
y band X x
1 1 foo 1 POINT (0 1)
2 1 foo 2 POINT (2 1)
3 1 foo 3 POINT (4 3)
4 2 foo 4 POINT (0 1)
> st_bbox(st)
xmin ymin xmax ymax
0 1 4 3
>
> # rotated/sheared:
> d = st_dimensions(x = 1:3, y = 1:3, band = c("foo", "bar"), .raster = c("x", "y"), affine = c(0.2, -0.2))
> (st = st_as_stars(array(1:18, c(3,3,2)), dimension = d))
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 5.25 9.5 9.5 13.75 18
dimension(s):
from to offset delta point values x/y
x 1 3 1 1 FALSE NULL [x]
y 1 3 1 1 FALSE NULL [y]
band 1 2 NA NA FALSE foo, bar
sheared raster with parameters: 0.2 -0.2
> as.data.frame(st, add_max=FALSE)[1:4,]
x y X
1 1.6 1.4 1
2 2.6 1.2 2
3 3.6 1.0 3
4 1.8 2.4 4
> try(as.data.frame(st, add_max=TRUE)[1:4,]) # errors
Error in st_coordinates.stars(x, add_max = add_max, center = center, ...) :
add_max will not work for rotated/shared rasters
> st_bbox(st)
xmin ymin xmax ymax
1.0 0.4 4.6 4.0
>
> # curvilinear:
> set.seed(13531)
> lon = st_as_stars(matrix(signif(runif(9), 2), 3, 3))
> lat = st_as_stars(matrix(signif(runif(9), 2), 3, 3))
> ll = setNames(c(lon, lat), c("lon", "lat"))
> d = st_dimensions(lon = 1:3, lat = 1:3)
> a = st_as_stars(list(X = array(1:9, c(3,3))), dimensions = d)
> (st = st_as_stars(a, curvilinear = ll))
stars object with 2 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
X 1 3 5 5 7 9
dimension(s):
from to refsys point values x/y
lon 1 3 WGS 84 (CRS84) FALSE [3x3] 0.03,...,0.89 [x]
lat 1 3 WGS 84 (CRS84) FALSE [3x3] 0.021,...,0.89 [y]
curvilinear grid
> as.data.frame(st)
lon lat X
1 0.89 0.250 1
2 0.64 0.510 2
3 0.30 0.670 3
4 0.69 0.890 4
5 0.47 0.890 5
6 0.26 0.190 6
7 0.57 0.021 7
8 0.27 0.220 8
9 0.03 0.340 9
> st_bbox(st)
xmin ymin xmax ymax
0.030 0.021 0.890 0.890
>
> # time regular:
> t = as.Date("2019-01-20") + 0:3
> d = st_dimensions(t, sfc)
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_dimensions ... <Anonymous> -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/mdim.R’ failed.
Complete output:
> Sys.setenv(TZ="")
> suppressPackageStartupMessages(library(stars))
> matrix(1:4,2)
[,1] [,2]
[1,] 1 3
[2,] 2 4
> m = matrix(1:4,2)
> s = st_as_stars(m)
>
> s = st_set_dimensions(s, st_dimensions(s), xy = NULL)
> sfc = st_sfc(st_point(0:1), st_point(3:2))
> s = st_set_dimensions(s, 1, sfc) |> st_set_crs(4326)
> tm = as.POSIXct("2023-03-04 12:35") + c(0, 3600)
> s = st_set_dimensions(s, 2, tm)
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_set_dimensions ... create_dimension -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/plot.R’ failed.
Complete output:
> suppressPackageStartupMessages(library(stars))
> if (suppressPackageStartupMessages(require(sp, quietly = TRUE)) && require(spacetime, quietly = TRUE)) {
+ data(air) # this loads several datasets in .GlobalEnv
+ dim(air)
+ d = st_dimensions(station = st_as_sfc(stations), time = dates)
+ aq = st_as_stars(list(PM10 = air), dimensions = d)
+ image(aperm(log(aq), 2:1), main = "NA pattern (white) in PM10 station time series")
+ st_geometry(aq)
+ }
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_dimensions ... <Anonymous> -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/redimension.R’ failed.
Complete output:
> suppressPackageStartupMessages(library(stars))
> tif = system.file("tif/L7_ETMs.tif", package = "stars")
> r = read_stars(list(a = c(tif,tif), b = c(tif, tif)), proxy = TRUE)
> (xx = st_redimension(r, along = list(foo = 1:4)))
stars_proxy object with 1 attribute in 4 file(s):
$a.L7_ETMs.tif.a.L7_ETMs.tif.b.L7_ETMs.tif.b.L7_ETMs.tif
[1] "[...]/L7_ETMs.tif" "[...]/L7_ETMs.tif" "[...]/L7_ETMs.tif"
[4] "[...]/L7_ETMs.tif"
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
foo 1 4 1 1 NA NA
> (rr = c(xx, xx))
stars_proxy object with 2 attributes in 8 file(s):
$a.L7_ETMs.tif.a.L7_ETMs.tif.b.L7_ETMs.tif.b.L7_ETMs.tif
[1] "[...]/L7_ETMs.tif" "[...]/L7_ETMs.tif" "[...]/L7_ETMs.tif"
[4] "[...]/L7_ETMs.tif"
$a.L7_ETMs.tif.a.L7_ETMs.tif.b.L7_ETMs.tif.b.L7_ETMs.tif
[1] "[...]/L7_ETMs.tif" "[...]/L7_ETMs.tif" "[...]/L7_ETMs.tif"
[4] "[...]/L7_ETMs.tif"
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
foo 1 4 1 1 NA NA
> # st_as_stars(rr)
> (rrr = st_redimension(rr, along = list(bar = as.Date(c("2001-01-01", "2002-01-01")))))
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_redimension ... create_dimension -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/sf.R’ failed.
Complete output:
> suppressPackageStartupMessages(library(stars))
> library(sf)
> #jp2 = system.file("jp2/B01.jp2", package = "stars")
> #(x = read_stars(jp2, options = c("OVERVIEW_LEVEL=3")))
> tif = system.file("tif/L7_ETMs.tif", package = "stars")
> #(x = read_stars(tif, options = c("OVERVIEW_LEVEL=3"))) # FIXME: breaks on windows
> (x = read_stars(tif)[,1:20,1:20])
stars object with 3 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
L7_ETMs.tif 17 44 58 58.19667 70 130
dimension(s):
from to offset delta refsys point x/y
x 1 20 288776 28.5 SIRGAS 2000 / UTM zone 25S FALSE [x]
y 1 20 9120761 -28.5 SIRGAS 2000 / UTM zone 25S FALSE [y]
band 1 6 NA NA NA NA
> # names(x) = "L7_ETM"
>
> # library(abind)
> # x = adrop(x)
> image(x)
> (sfc = st_as_sfc(x, as_points = FALSE))
Geometry set for 400 features
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 288776.3 ymin: 9120191 xmax: 289346.3 ymax: 9120761
Projected CRS: SIRGAS 2000 / UTM zone 25S
First 5 geometries:
POLYGON ((288776.3 9120761, 288804.8 9120761, 2...
POLYGON ((288804.8 9120761, 288833.3 9120761, 2...
POLYGON ((288833.3 9120761, 288861.8 9120761, 2...
POLYGON ((288861.8 9120761, 288890.3 9120761, 2...
POLYGON ((288890.3 9120761, 288918.8 9120761, 2...
> plot(sfc, add =TRUE)
> (sfc = st_as_sfc(x, as_points = TRUE))
Geometry set for 400 features
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 288790.5 ymin: 9120205 xmax: 289332 ymax: 9120747
Projected CRS: SIRGAS 2000 / UTM zone 25S
First 5 geometries:
POINT (288790.5 9120747)
POINT (288819 9120747)
POINT (288847.5 9120747)
POINT (288876 9120747)
POINT (288904.5 9120747)
> plot(sfc, add = TRUE)
>
> sf = st_as_sf(x, as_points = FALSE)
> plot(sf, border = NA)
> sf = st_as_sf(x[,,,1], as_points = FALSE, merge = TRUE)
> plot(sf, border = NA)
>
> sfc1 <- st_as_sfc(x, as_points = TRUE, use_cpp = TRUE, na.rm = FALSE)
> sfc2 <- st_as_sfc(x, as_points = TRUE, use_cpp = FALSE)
> identical(sfc1, sfc2)
[1] TRUE
>
> sfc1 <- st_as_sfc(x, as_points = FALSE, use_cpp = TRUE, na.rm = FALSE)
> sfc2 <- st_as_sfc(x, as_points = FALSE, use_cpp = FALSE)
> identical(sfc1, sfc2)
[1] TRUE
>
> # sf -> stars -> sf
> x = st_sfc(st_point(0:1), st_point(1:2), st_point(2:3))
> m = matrix(1:9,3)
> colnames(m) = c("a", "b", "c")
> foo = st_sf(m, geom = x)
> x = st_as_stars(foo)
> c(x)
stars object with 1 dimensions and 3 attributes
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
a 1 1.5 2 2 2.5 3
b 4 4.5 5 5 5.5 6
c 7 7.5 8 8 8.5 9
dimension(s):
from to point values
geom 1 3 TRUE POINT (0 1),...,POINT (2 3)
> st_redimension(x)
stars object with 2 dimensions and 1 attribute
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
a.b.c 1 3 5 5 7 9
dimension(s):
from to point values
geom 1 3 TRUE POINT (0 1),...,POINT (2 3)
new_dim 1 3 NA a, b, c
> c(x, x)
stars object with 1 dimensions and 6 attributes
attribute(s):
Min. 1st Qu. Median Mean 3rd Qu. Max.
a 1 1.5 2 2 2.5 3
b 4 4.5 5 5 5.5 6
c 7 7.5 8 8 8.5 9
a.1 1 1.5 2 2 2.5 3
b.1 4 4.5 5 5 5.5 6
c.1 7 7.5 8 8 8.5 9
dimension(s):
from to point values
geom 1 3 TRUE POINT (0 1),...,POINT (2 3)
> (y = st_redimension(x, along = list(time = as.Date("2017-11-27") + 0:2)))
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_redimension ... create_dimension -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/spacetime.R’ failed.
Complete output:
> suppressPackageStartupMessages(library(stars))
> if (suppressPackageStartupMessages(require(sp, quietly = TRUE)) && require(spacetime, quietly = TRUE)) {
+ set.seed(1331)
+ Sys.setenv(TZ="UTC")
+ example(STFDF)
+
+ x = st_as_stars(stfdf)
+ xx = as(x, "STFDF")
+
+ # as.xts.stars:
+ library(xts)
+ xts = as.xts(x)
+ st_as_stars(xts)
+ st_as_stars(xts, dimensions = st_dimensions(x))
+
+ library(sp)
+ pts = SpatialPoints(rbind(c(0,0), c(0,1), c(1,0), c(1,1)))
+ gridded(pts) = TRUE
+
+ tm = xts(1:10, as.Date("2010-01-01")+0:9)
+ stfdf = STFDF(pts, tm, data.frame(foo = seq_len(length(pts) * length(tm))))
+ x = st_as_stars(stfdf)
+ xx = as(x, "STFDF")
+
+ x = st_as_stars(as(stfdf, "STSDF"))
+ }
STFDF> sp = cbind(x = c(0,0,1), y = c(0,1,1))
STFDF> row.names(sp) = paste("point", 1:nrow(sp), sep="")
STFDF> library(sp)
STFDF> sp = SpatialPoints(sp)
STFDF> time = as.POSIXct("2010-08-05")+3600*(10:13)
STFDF> m = c(10,20,30) # means for each of the 3 point locations
STFDF> mydata = rnorm(length(sp)*length(time),mean=rep(m, 4))
STFDF> IDs = paste("ID",1:length(mydata))
STFDF> mydata = data.frame(values = signif(mydata,3), ID=IDs)
STFDF> stfdf = STFDF(sp, time, mydata)
STFDF> stfdf
An object of class "STFDF"
Slot "data":
values ID
1 9.38 ID 1
2 21.10 ID 2
3 29.80 ID 3
4 11.50 ID 4
5 19.80 ID 5
6 31.20 ID 6
7 10.40 ID 7
8 20.50 ID 8
9 29.80 ID 9
10 10.30 ID 10
11 21.40 ID 11
12 29.40 ID 12
Slot "sp":
SpatialPoints:
x y
point1 0 0
point2 0 1
point3 1 1
Coordinate Reference System (CRS) arguments: NA
Slot "time":
timeIndex
2010-08-05 10:00:00 1
2010-08-05 11:00:00 2
2010-08-05 12:00:00 3
2010-08-05 13:00:00 4
Slot "endTime":
[1] "2010-08-05 11:00:00 UTC" "2010-08-05 12:00:00 UTC"
[3] "2010-08-05 13:00:00 UTC" "2010-08-05 14:00:00 UTC"
STFDF> stfdf[1:2,]
An object of class "STFDF"
Slot "data":
values ID
1 9.38 ID 1
2 21.10 ID 2
3 11.50 ID 4
4 19.80 ID 5
5 10.40 ID 7
6 20.50 ID 8
7 10.30 ID 10
8 21.40 ID 11
Slot "sp":
SpatialPoints:
x y
point1 0 0
point2 0 1
Coordinate Reference System (CRS) arguments: NA
Slot "time":
timeIndex
2010-08-05 10:00:00 1
2010-08-05 11:00:00 2
2010-08-05 12:00:00 3
2010-08-05 13:00:00 4
Slot "endTime":
[1] "2010-08-05 11:00:00 UTC" "2010-08-05 12:00:00 UTC"
[3] "2010-08-05 13:00:00 UTC" "2010-08-05 14:00:00 UTC"
STFDF> stfdf[,1:2]
An object of class "STFDF"
Slot "data":
values ID
1 9.38 ID 1
2 21.10 ID 2
3 29.80 ID 3
4 11.50 ID 4
5 19.80 ID 5
6 31.20 ID 6
Slot "sp":
SpatialPoints:
x y
point1 0 0
point2 0 1
point3 1 1
Coordinate Reference System (CRS) arguments: NA
Slot "time":
timeIndex
2010-08-05 10:00:00 1
2010-08-05 11:00:00 2
Slot "endTime":
[1] "2010-08-05 11:00:00 UTC" "2010-08-05 12:00:00 UTC"
STFDF> stfdf[,,2]
An object of class "STFDF"
Slot "data":
ID
1 ID 1
2 ID 2
3 ID 3
4 ID 4
5 ID 5
6 ID 6
7 ID 7
8 ID 8
9 ID 9
10 ID 10
11 ID 11
12 ID 12
Slot "sp":
SpatialPoints:
x y
point1 0 0
point2 0 1
point3 1 1
Coordinate Reference System (CRS) arguments: NA
Slot "time":
timeIndex
2010-08-05 10:00:00 1
2010-08-05 11:00:00 2
2010-08-05 12:00:00 3
2010-08-05 13:00:00 4
Slot "endTime":
[1] "2010-08-05 11:00:00 UTC" "2010-08-05 12:00:00 UTC"
[3] "2010-08-05 13:00:00 UTC" "2010-08-05 14:00:00 UTC"
STFDF> stfdf[,,"values"]
An object of class "STFDF"
Slot "data":
values
1 9.38
2 21.10
3 29.80
4 11.50
5 19.80
6 31.20
7 10.40
8 20.50
9 29.80
10 10.30
11 21.40
12 29.40
Slot "sp":
SpatialPoints:
x y
point1 0 0
point2 0 1
point3 1 1
Coordinate Reference System (CRS) arguments: NA
Slot "time":
timeIndex
2010-08-05 10:00:00 1
2010-08-05 11:00:00 2
2010-08-05 12:00:00 3
2010-08-05 13:00:00 4
Slot "endTime":
[1] "2010-08-05 11:00:00 UTC" "2010-08-05 12:00:00 UTC"
[3] "2010-08-05 13:00:00 UTC" "2010-08-05 14:00:00 UTC"
STFDF> stfdf[1,]
values ID timeIndex
2010-08-05 10:00:00 9.38 ID 1 1
2010-08-05 11:00:00 11.50 ID 4 2
2010-08-05 12:00:00 10.40 ID 7 3
2010-08-05 13:00:00 10.30 ID 10 4
STFDF> stfdf[,2]
coordinates values ID
1 (0, 0) 11.5 ID 4
2 (0, 1) 19.8 ID 5
3 (1, 1) 31.2 ID 6
STFDF> as(stfdf[,,1], "xts")
point1 point2 point3
2010-08-05 10:00:00 9.38 21.1 29.8
2010-08-05 11:00:00 11.50 19.8 31.2
2010-08-05 12:00:00 10.40 20.5 29.8
2010-08-05 13:00:00 10.30 21.4 29.4
STFDF> as(stfdf[,,2], "xts")
point1 point2 point3
2010-08-05 10:00:00 ID 1 ID 2 ID 3
2010-08-05 11:00:00 ID 4 ID 5 ID 6
2010-08-05 12:00:00 ID 7 ID 8 ID 9
2010-08-05 13:00:00 ID 10 ID 11 ID 12
STFDF> # examples for [[, [[<-, $ and $<-
STFDF> stfdf[[1]]
[1] 9.38 21.10 29.80 11.50 19.80 31.20 10.40 20.50 29.80 10.30 21.40 29.40
STFDF> stfdf[["values"]]
[1] 9.38 21.10 29.80 11.50 19.80 31.20 10.40 20.50 29.80 10.30 21.40 29.40
STFDF> stfdf[["newVal"]] <- rnorm(12)
STFDF> stfdf$ID
[1] "ID 1" "ID 2" "ID 3" "ID 4" "ID 5" "ID 6" "ID 7" "ID 8" "ID 9"
[10] "ID 10" "ID 11" "ID 12"
STFDF> stfdf$ID = paste("OldIDs", 1:12, sep="")
STFDF> stfdf$NewID = paste("NewIDs", 12:1, sep="")
STFDF> stfdf
An object of class "STFDF"
Slot "data":
values ID newVal NewID
1 9.38 OldIDs1 -0.3125824 NewIDs12
2 21.10 OldIDs2 -1.0536246 NewIDs11
3 29.80 OldIDs3 -0.7188880 NewIDs10
4 11.50 OldIDs4 -1.0525404 NewIDs9
5 19.80 OldIDs5 -0.8441413 NewIDs8
6 31.20 OldIDs6 1.1420848 NewIDs7
7 10.40 OldIDs7 1.9479070 NewIDs6
8 20.50 OldIDs8 -0.4512836 NewIDs5
9 29.80 OldIDs9 0.6695716 NewIDs4
10 10.30 OldIDs10 0.1269003 NewIDs3
11 21.40 OldIDs11 -0.7273297 NewIDs2
12 29.40 OldIDs12 -0.8151803 NewIDs1
Slot "sp":
SpatialPoints:
x y
point1 0 0
point2 0 1
point3 1 1
Coordinate Reference System (CRS) arguments: NA
Slot "time":
timeIndex
2010-08-05 10:00:00 1
2010-08-05 11:00:00 2
2010-08-05 12:00:00 3
2010-08-05 13:00:00 4
Slot "endTime":
[1] "2010-08-05 11:00:00 UTC" "2010-08-05 12:00:00 UTC"
[3] "2010-08-05 13:00:00 UTC" "2010-08-05 14:00:00 UTC"
STFDF> x = stfdf[stfdf[1:2,],]
STFDF> all.equal(x, stfdf[1:2,])
[1] TRUE
STFDF> all.equal(stfdf, stfdf[stfdf,]) # converts character to factor...
[1] TRUE
Error in `/.difftime`(diff(range(ud)), mean(ud)) :
second argument of / cannot be a "difftime" object
Calls: st_as_stars ... create_dimension -> regular_intervals -> isTRUE -> /.difftime
Execution halted
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> ## load dependencies
> library(testthat)
> suppressPackageStartupMessages(library(stars))
>
> ## test package
> test_check("stars")
[ FAIL 2 | WARN 1 | SKIP 4 | PASS 58 ]
══ Skipped tests (4) ═══════════════════════════════════════════════════════════
• On CRAN (4): 'test-OpenStreetMap.R:2:3', 'test-ncdf.R:1:1',
'test-ncproxy.R:1:1', 'test-rectilinear.R:89:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-cubble.R:30:3'): cubble ────────────────────────────────────────
Error in ``/.difftime`(diff(range(ud)), mean(ud))`: second argument of / cannot be a "difftime" object
Backtrace:
▆
1. ├─stars::st_as_stars(a.cb) at test-cubble.R:30:3
2. └─stars:::st_as_stars.cubble_df(a.cb)
3. ├─stars:::create_dimensions(...)
4. └─stars:::create_dimension(values = times)
5. └─stars:::regular_intervals(values)
6. ├─base::isTRUE(as.numeric(abs(diff(range(ud))/mean(ud))) < epsilon)
7. └─base::`/.difftime`(diff(range(ud)), mean(ud))
── Error ('test-stars.R:14:3'): basic st_as_stars ──────────────────────────────
Error in ``/.difftime`(diff(range(ud)), mean(ud))`: second argument of / cannot be a "difftime" object
Backtrace:
▆
1. ├─stars::st_as_stars(test_list) at test-stars.R:14:3
2. └─stars:::st_as_stars.ncdfgeom(test_list)
3. └─stars:::create_dimension(...)
4. └─stars:::regular_intervals(values)
5. ├─base::isTRUE(as.numeric(abs(diff(range(ud))/mean(ud))) < epsilon)
6. └─base::`/.difftime`(diff(range(ud)), mean(ud))
[ FAIL 2 | WARN 1 | SKIP 4 | PASS 58 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.6-7
Check: tests
Result: NOTE
Running ‘aggregate.R’ [20s/26s]
Comparing ‘aggregate.Rout’ to ‘aggregate.Rout.save’ ... OK
Running ‘align.R’
Comparing ‘align.Rout’ to ‘align.Rout.save’ ... OK
Running ‘area.R’
Comparing ‘area.Rout’ to ‘area.Rout.save’ ... OK
Running ‘crop.R’ [9s/12s]
Comparing ‘crop.Rout’ to ‘crop.Rout.save’ ... OK
Running ‘curvilinear.R’
Comparing ‘curvilinear.Rout’ to ‘curvilinear.Rout.save’ ... OK
Running ‘datasets.R’
Comparing ‘datasets.Rout’ to ‘datasets.Rout.save’ ... OK
Running ‘dimensions.R’
Comparing ‘dimensions.Rout’ to ‘dimensions.Rout.save’ ... OK
Running ‘downsample.R’
Comparing ‘downsample.Rout’ to ‘downsample.Rout.save’ ... OK
Running ‘ee.R’
Comparing ‘ee.Rout’ to ‘ee.Rout.save’ ... OK
Running ‘extract.R’
Comparing ‘extract.Rout’ to ‘extract.Rout.save’ ... OK
Running ‘gridtypes.R’
Comparing ‘gridtypes.Rout’ to ‘gridtypes.Rout.save’ ...246,247c246,247
< lon 1 3 WGS 84 FALSE [3x3] 0.03,...,0.89 [x]
< lat 1 3 WGS 84 FALSE [3x3] 0.021,...,0.89 [y]
---
> lon 1 3 WGS 84 (CRS84) FALSE [3x3] 0.03,...,0.89 [x]
> lat 1 3 WGS 84 (CRS84) FALSE [3x3] 0.021,...,0.89 [y]
Running ‘mdim.R’
Comparing ‘mdim.Rout’ to ‘mdim.Rout.save’ ... OK
Running ‘nc.R’
Comparing ‘nc.Rout’ to ‘nc.Rout.save’ ... OK
Running ‘plot.R’
Comparing ‘plot.Rout’ to ‘plot.Rout.save’ ... OK
Running ‘predict.R’
Comparing ‘predict.Rout’ to ‘predict.Rout.save’ ... OK
Running ‘proxy.R’
Comparing ‘proxy.Rout’ to ‘proxy.Rout.save’ ... OK
Running ‘raster.R’ [19s/21s]
Comparing ‘raster.Rout’ to ‘raster.Rout.save’ ...103,104c103,104
< x 1 10 -180 36 WGS 84 NULL [x]
< y 1 10 90 -18 WGS 84 NULL [y]
---
> x 1 10 -180 36 WGS 84 (CRS84) NULL [x]
> y 1 10 90 -18 WGS 84 (CRS84) NULL [y]
Running ‘rasterize.R’
Comparing ‘rasterize.Rout’ to ‘rasterize.Rout.save’ ... OK
Running ‘rectilinear.R’
Comparing ‘rectilinear.Rout’ to ‘rectilinear.Rout.save’ ... OK
Running ‘redimension.R’
Comparing ‘redimension.Rout’ to ‘redimension.Rout.save’ ... OK
Running ‘sf.R’
Comparing ‘sf.Rout’ to ‘sf.Rout.save’ ... OK
Running ‘sp.R’
Comparing ‘sp.Rout’ to ‘sp.Rout.save’ ... OK
Running ‘spacetime.R’
Comparing ‘spacetime.Rout’ to ‘spacetime.Rout.save’ ... OK
Running ‘spatstat.R’
Comparing ‘spatstat.Rout’ to ‘spatstat.Rout.save’ ... OK
Running ‘stars.R’ [14s/16s]
Comparing ‘stars.Rout’ to ‘stars.Rout.save’ ...249,250c249,250
< x 1 360 -180 1 WGS 84 [x]
< y 1 180 90 -1 WGS 84 [y]
---
> x 1 360 -180 1 WGS 84 (CRS84) [x]
> y 1 180 90 -1 WGS 84 (CRS84) [y]
Running ‘subset.R’
Comparing ‘subset.Rout’ to ‘subset.Rout.save’ ... OK
Running ‘testthat.R’ [29s/36s]
Running ‘tidy.R’
Comparing ‘tidy.Rout’ to ‘tidy.Rout.save’ ... OK
Running ‘transform.R’
Comparing ‘transform.Rout’ to ‘transform.Rout.save’ ... OK
Running ‘warp.R’
Comparing ‘warp.Rout’ to ‘warp.Rout.save’ ... OK
Running ‘write.R’
Comparing ‘write.Rout’ to ‘write.Rout.save’ ... OK
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.6-7
Check: tests
Result: NOTE
Running ‘aggregate.R’ [20s/72s]
Comparing ‘aggregate.Rout’ to ‘aggregate.Rout.save’ ... OK
Running ‘align.R’ [3s/11s]
Comparing ‘align.Rout’ to ‘align.Rout.save’ ... OK
Running ‘area.R’
Comparing ‘area.Rout’ to ‘area.Rout.save’ ... OK
Running ‘crop.R’ [9s/27s]
Comparing ‘crop.Rout’ to ‘crop.Rout.save’ ... OK
Running ‘curvilinear.R’
Comparing ‘curvilinear.Rout’ to ‘curvilinear.Rout.save’ ... OK
Running ‘datasets.R’
Comparing ‘datasets.Rout’ to ‘datasets.Rout.save’ ... OK
Running ‘dimensions.R’ [4s/14s]
Comparing ‘dimensions.Rout’ to ‘dimensions.Rout.save’ ... OK
Running ‘downsample.R’
Comparing ‘downsample.Rout’ to ‘downsample.Rout.save’ ... OK
Running ‘ee.R’
Comparing ‘ee.Rout’ to ‘ee.Rout.save’ ... OK
Running ‘extract.R’
Comparing ‘extract.Rout’ to ‘extract.Rout.save’ ... OK
Running ‘gridtypes.R’
Comparing ‘gridtypes.Rout’ to ‘gridtypes.Rout.save’ ...246,247c246,247
< lon 1 3 WGS 84 FALSE [3x3] 0.03,...,0.89 [x]
< lat 1 3 WGS 84 FALSE [3x3] 0.021,...,0.89 [y]
---
> lon 1 3 WGS 84 (CRS84) FALSE [3x3] 0.03,...,0.89 [x]
> lat 1 3 WGS 84 (CRS84) FALSE [3x3] 0.021,...,0.89 [y]
Running ‘mdim.R’
Comparing ‘mdim.Rout’ to ‘mdim.Rout.save’ ... OK
Running ‘nc.R’ [4s/12s]
Comparing ‘nc.Rout’ to ‘nc.Rout.save’ ... OK
Running ‘plot.R’ [5s/15s]
Comparing ‘plot.Rout’ to ‘plot.Rout.save’ ... OK
Running ‘predict.R’ [7s/23s]
Comparing ‘predict.Rout’ to ‘predict.Rout.save’ ... OK
Running ‘proxy.R’ [5s/15s]
Comparing ‘proxy.Rout’ to ‘proxy.Rout.save’ ... OK
Running ‘raster.R’ [19s/58s]
Comparing ‘raster.Rout’ to ‘raster.Rout.save’ ...103,104c103,104
< x 1 10 -180 36 WGS 84 NULL [x]
< y 1 10 90 -18 WGS 84 NULL [y]
---
> x 1 10 -180 36 WGS 84 (CRS84) NULL [x]
> y 1 10 90 -18 WGS 84 (CRS84) NULL [y]
Running ‘rasterize.R’ [5s/16s]
Comparing ‘rasterize.Rout’ to ‘rasterize.Rout.save’ ... OK
Running ‘rectilinear.R’ [3s/12s]
Comparing ‘rectilinear.Rout’ to ‘rectilinear.Rout.save’ ... OK
Running ‘redimension.R’
Comparing ‘redimension.Rout’ to ‘redimension.Rout.save’ ... OK
Running ‘sf.R’
Comparing ‘sf.Rout’ to ‘sf.Rout.save’ ... OK
Running ‘sp.R’
Comparing ‘sp.Rout’ to ‘sp.Rout.save’ ... OK
Running ‘spacetime.R’ [5s/13s]
Comparing ‘spacetime.Rout’ to ‘spacetime.Rout.save’ ... OK
Running ‘spatstat.R’ [5s/13s]
Comparing ‘spatstat.Rout’ to ‘spatstat.Rout.save’ ... OK
Running ‘stars.R’ [15s/36s]
Comparing ‘stars.Rout’ to ‘stars.Rout.save’ ...249,250c249,250
< x 1 360 -180 1 WGS 84 [x]
< y 1 180 90 -1 WGS 84 [y]
---
> x 1 360 -180 1 WGS 84 (CRS84) [x]
> y 1 180 90 -1 WGS 84 (CRS84) [y]
Running ‘subset.R’
Comparing ‘subset.Rout’ to ‘subset.Rout.save’ ... OK
Running ‘testthat.R’ [27s/61s]
Running ‘tidy.R’
Comparing ‘tidy.Rout’ to ‘tidy.Rout.save’ ... OK
Running ‘transform.R’
Comparing ‘transform.Rout’ to ‘transform.Rout.save’ ... OK
Running ‘warp.R’
Comparing ‘warp.Rout’ to ‘warp.Rout.save’ ... OK
Running ‘write.R’
Comparing ‘write.Rout’ to ‘write.Rout.save’ ... OK
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.6-7
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘starsdata’
Flavors: r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.6-7
Check: installed package size
Result: NOTE
installed size is 6.8Mb
sub-directories of 1Mb or more:
doc 2.9Mb
nc 1.7Mb
Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64