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This page was generated on 2024-03-04 11:40:04 -0500 (Mon, 04 Mar 2024).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 22.04.3 LTS)x86_64R Under development (unstable) (2024-01-16 r85808) -- "Unsuffered Consequences" 4676
palomino3Windows Server 2022 Datacenterx64R Under development (unstable) (2024-01-14 r85805 ucrt) -- "Unsuffered Consequences" 4414
merida1macOS 12.7.1 Montereyx86_64R Under development (unstable) (2024-01-16 r85808) -- "Unsuffered Consequences" 4441
kunpeng2Linux (openEuler 22.03 LTS-SP1)aarch64R Under development (unstable) (2024-01-16 r85812) -- "Unsuffered Consequences" 4417
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

Package 2114/2251HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
tidySpatialExperiment 0.99.20  (landing page)
William Hutchison
Snapshot Date: 2024-03-01 14:00:22 -0500 (Fri, 01 Mar 2024)
git_url: https://git.bioconductor.org/packages/tidySpatialExperiment
git_branch: devel
git_last_commit: 3395271
git_last_commit_date: 2024-02-20 18:01:37 -0500 (Tue, 20 Feb 2024)
nebbiolo1Linux (Ubuntu 22.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino3Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 12.7.1 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kunpeng2Linux (openEuler 22.03 LTS-SP1) / aarch64  OK    OK    OK  

CHECK results for tidySpatialExperiment on merida1


To the developers/maintainers of the tidySpatialExperiment package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/tidySpatialExperiment.git to reflect on this report. See Troubleshooting Build Report for more information.
- Use the following Renviron settings to reproduce errors and warnings.
- If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information.

raw results


Summary

Package: tidySpatialExperiment
Version: 0.99.20
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:tidySpatialExperiment.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings tidySpatialExperiment_0.99.20.tar.gz
StartedAt: 2024-03-02 11:45:28 -0500 (Sat, 02 Mar 2024)
EndedAt: 2024-03-02 11:56:19 -0500 (Sat, 02 Mar 2024)
EllapsedTime: 651.8 seconds
RetCode: 0
Status:   OK  
CheckDir: tidySpatialExperiment.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:tidySpatialExperiment.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings tidySpatialExperiment_0.99.20.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.19-bioc/meat/tidySpatialExperiment.Rcheck’
* using R Under development (unstable) (2024-01-16 r85808)
* using platform: x86_64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 12.2.0
* running under: macOS Monterey 12.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘tidySpatialExperiment/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘tidySpatialExperiment’ version ‘0.99.20’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘tidySpatialExperiment’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... NOTE
Unexported object imported by a ':::' call: ‘S4Vectors:::disableValidity’
  See the note in ?`:::` about the use of this operator.
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
join_features,SpatialExperiment: no visible binding for global variable
  ‘index’
Undefined global functions or variables:
  index
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                  user system elapsed
aggregate_cells 10.229  0.431  12.386
unite            5.630  0.096   6.470
sample_n         5.231  0.074   6.377
unnest           5.226  0.074   5.946
inner_join       5.213  0.066   5.928
left_join        5.204  0.075   5.629
right_join       5.155  0.078   6.145
rename           5.132  0.076   5.948
join_features    4.980  0.082   5.792
bind_rows        4.968  0.068   5.749
bind_cols        4.954  0.064   5.748
plot_ly          4.820  0.136   5.571
nest             4.888  0.066   5.650
filter           4.882  0.064   5.983
ggplot           4.871  0.073   5.485
arrange          4.845  0.080   5.736
count            4.847  0.073   5.748
extract          4.830  0.068   6.123
ellipse          4.774  0.069   5.613
separate         4.769  0.073   5.877
slice            4.754  0.070   5.705
rectangle        4.746  0.064   5.523
mutate           4.724  0.060   5.082
rowwise          4.684  0.068   5.467
distinct         4.651  0.074   5.687
group_by         4.663  0.061   5.302
pivot_longer     4.642  0.070   5.341
formatting       4.646  0.061   5.456
as_tibble        4.630  0.069   5.456
pull             4.599  0.068   5.441
select           4.542  0.063   5.340
summarise        4.542  0.062   5.308
glimpse          4.470  0.063   5.079
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 NOTEs
See
  ‘/Users/biocbuild/bbs-3.19-bioc/meat/tidySpatialExperiment.Rcheck/00check.log’
for details.



Installation output

tidySpatialExperiment.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL tidySpatialExperiment
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library’
* installing *source* package ‘tidySpatialExperiment’ ...
** using staged installation
** R
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
*** copying figures
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (tidySpatialExperiment)

Tests output

tidySpatialExperiment.Rcheck/tests/testthat.Rout


R Under development (unstable) (2024-01-16 r85808) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(tidySpatialExperiment)
Loading required package: SpatialExperiment
Loading required package: SingleCellExperiment
Loading required package: SummarizedExperiment
Loading required package: MatrixGenerics
Loading required package: matrixStats

Attaching package: 'MatrixGenerics'

The following objects are masked from 'package:matrixStats':

    colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
    colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
    colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
    colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
    colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
    colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
    colWeightedMeans, colWeightedMedians, colWeightedSds,
    colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
    rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
    rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
    rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
    rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
    rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
    rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
    rowWeightedSds, rowWeightedVars

Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:stats':

    IQR, mad, sd, var, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
    as.data.frame, basename, cbind, colnames, dirname, do.call,
    duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
    lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
    pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
    union, unique, unsplit, which.max, which.min

Loading required package: S4Vectors

Attaching package: 'S4Vectors'

The following object is masked from 'package:utils':

    findMatches

The following objects are masked from 'package:base':

    I, expand.grid, unname

Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.


Attaching package: 'Biobase'

The following object is masked from 'package:MatrixGenerics':

    rowMedians

The following objects are masked from 'package:matrixStats':

    anyMissing, rowMedians

Loading required package: tidySingleCellExperiment

Attaching package: 'tidySpatialExperiment'

The following object is masked from 'package:tidySingleCellExperiment':

    unnest_single_cell_experiment

> 
> test_check("tidySpatialExperiment")

rd10xV> dir <- system.file(
rd10xV+   file.path("extdata", "10xVisium"), 
rd10xV+   package = "SpatialExperiment")

rd10xV> sample_ids <- c("section1", "section2")

rd10xV> samples <- file.path(dir, sample_ids, "outs")

rd10xV> list.files(samples[1])
[1] "raw_feature_bc_matrix" "spatial"              

rd10xV> list.files(file.path(samples[1], "spatial"))
[1] "scalefactors_json.json"    "tissue_lowres_image.png"  
[3] "tissue_positions_list.csv"

rd10xV> file.path(samples[1], "raw_feature_bc_matrix")
[1] "/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library/SpatialExperiment/extdata/10xVisium/section1/outs/raw_feature_bc_matrix"

rd10xV> (spe <- read10xVisium(samples, sample_ids, 
rd10xV+   type = "sparse", data = "raw", 
rd10xV+   images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features=50 | Cells=99 | Assays=counts
   .cell              in_tissue array_row array_col sample_id pxl_col_in_fullres
   <chr>              <lgl>         <int>     <int> <chr>                  <int>
 1 AAACAACGAATAGTTC-1 FALSE             0        16 section1                2312
 2 AAACAAGTATCTCCCA-1 TRUE             50       102 section1                8230
 3 AAACAATCTACTAGCA-1 TRUE              3        43 section1                4170
 4 AAACACCAATAACTGC-1 TRUE             59        19 section1                2519
 5 AAACAGAGCGACTCCT-1 TRUE             14        94 section1                7679
 6 AAACAGCTTTCAGAAG-1 FALSE            43         9 section1                1831
 7 AAACAGGGTCTATATT-1 FALSE            47        13 section1                2106
 8 AAACAGTGTTCCTGGG-1 FALSE            73        43 section1                4170
 9 AAACATGGTGAGAGGA-1 FALSE            62         0 section1                1212
10 AAACATTTCCCGGATT-1 FALSE            61        97 section1                7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>

rd10xV> # base directory 'outs/' from Space Ranger can also be omitted
rd10xV> samples2 <- file.path(dir, sample_ids)

rd10xV> (spe2 <- read10xVisium(samples2, sample_ids, 
rd10xV+   type = "sparse", data = "raw", 
rd10xV+   images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features=50 | Cells=99 | Assays=counts
   .cell              in_tissue array_row array_col sample_id pxl_col_in_fullres
   <chr>              <lgl>         <int>     <int> <chr>                  <int>
 1 AAACAACGAATAGTTC-1 FALSE             0        16 section1                2312
 2 AAACAAGTATCTCCCA-1 TRUE             50       102 section1                8230
 3 AAACAATCTACTAGCA-1 TRUE              3        43 section1                4170
 4 AAACACCAATAACTGC-1 TRUE             59        19 section1                2519
 5 AAACAGAGCGACTCCT-1 TRUE             14        94 section1                7679
 6 AAACAGCTTTCAGAAG-1 FALSE            43         9 section1                1831
 7 AAACAGGGTCTATATT-1 FALSE            47        13 section1                2106
 8 AAACAGTGTTCCTGGG-1 FALSE            73        43 section1                4170
 9 AAACATGGTGAGAGGA-1 FALSE            62         0 section1                1212
10 AAACATTTCCCGGATT-1 FALSE            61        97 section1                7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>

rd10xV> # tabulate number of spots mapped to tissue
rd10xV> cd <- colData(spe)

rd10xV> table(
rd10xV+   in_tissue = cd$in_tissue, 
rd10xV+   sample_id = cd$sample_id)
         sample_id
in_tissue section1 section2
    FALSE       28       27
    TRUE        22       22

rd10xV> # view available images
rd10xV> imgData(spe)
DataFrame with 2 rows and 4 columns
    sample_id    image_id   data scaleFactor
  <character> <character> <list>   <numeric>
1    section1      lowres   ####   0.0510334
2    section2      lowres   ####   0.0510334

rd10xV> dir <- system.file(
rd10xV+   file.path("extdata", "10xVisium"), 
rd10xV+   package = "SpatialExperiment")

rd10xV> sample_ids <- c("section1", "section2")

rd10xV> samples <- file.path(dir, sample_ids, "outs")

rd10xV> list.files(samples[1])
[1] "raw_feature_bc_matrix" "spatial"              

rd10xV> list.files(file.path(samples[1], "spatial"))
[1] "scalefactors_json.json"    "tissue_lowres_image.png"  
[3] "tissue_positions_list.csv"

rd10xV> file.path(samples[1], "raw_feature_bc_matrix")
[1] "/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library/SpatialExperiment/extdata/10xVisium/section1/outs/raw_feature_bc_matrix"

rd10xV> (spe <- read10xVisium(samples, sample_ids, 
rd10xV+   type = "sparse", data = "raw", 
rd10xV+   images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features=50 | Cells=99 | Assays=counts
   .cell              in_tissue array_row array_col sample_id pxl_col_in_fullres
   <chr>              <lgl>         <int>     <int> <chr>                  <int>
 1 AAACAACGAATAGTTC-1 FALSE             0        16 section1                2312
 2 AAACAAGTATCTCCCA-1 TRUE             50       102 section1                8230
 3 AAACAATCTACTAGCA-1 TRUE              3        43 section1                4170
 4 AAACACCAATAACTGC-1 TRUE             59        19 section1                2519
 5 AAACAGAGCGACTCCT-1 TRUE             14        94 section1                7679
 6 AAACAGCTTTCAGAAG-1 FALSE            43         9 section1                1831
 7 AAACAGGGTCTATATT-1 FALSE            47        13 section1                2106
 8 AAACAGTGTTCCTGGG-1 FALSE            73        43 section1                4170
 9 AAACATGGTGAGAGGA-1 FALSE            62         0 section1                1212
10 AAACATTTCCCGGATT-1 FALSE            61        97 section1                7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>

rd10xV> # base directory 'outs/' from Space Ranger can also be omitted
rd10xV> samples2 <- file.path(dir, sample_ids)

rd10xV> (spe2 <- read10xVisium(samples2, sample_ids, 
rd10xV+   type = "sparse", data = "raw", 
rd10xV+   images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features=50 | Cells=99 | Assays=counts
   .cell              in_tissue array_row array_col sample_id pxl_col_in_fullres
   <chr>              <lgl>         <int>     <int> <chr>                  <int>
 1 AAACAACGAATAGTTC-1 FALSE             0        16 section1                2312
 2 AAACAAGTATCTCCCA-1 TRUE             50       102 section1                8230
 3 AAACAATCTACTAGCA-1 TRUE              3        43 section1                4170
 4 AAACACCAATAACTGC-1 TRUE             59        19 section1                2519
 5 AAACAGAGCGACTCCT-1 TRUE             14        94 section1                7679
 6 AAACAGCTTTCAGAAG-1 FALSE            43         9 section1                1831
 7 AAACAGGGTCTATATT-1 FALSE            47        13 section1                2106
 8 AAACAGTGTTCCTGGG-1 FALSE            73        43 section1                4170
 9 AAACATGGTGAGAGGA-1 FALSE            62         0 section1                1212
10 AAACATTTCCCGGATT-1 FALSE            61        97 section1                7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>

rd10xV> # tabulate number of spots mapped to tissue
rd10xV> cd <- colData(spe)

rd10xV> table(
rd10xV+   in_tissue = cd$in_tissue, 
rd10xV+   sample_id = cd$sample_id)
         sample_id
in_tissue section1 section2
    FALSE       28       27
    TRUE        22       22

rd10xV> # view available images
rd10xV> imgData(spe)
DataFrame with 2 rows and 4 columns
    sample_id    image_id   data scaleFactor
  <character> <character> <list>   <numeric>
1    section1      lowres   ####   0.0510334
2    section2      lowres   ####   0.0510334

rd10xV> dir <- system.file(
rd10xV+   file.path("extdata", "10xVisium"), 
rd10xV+   package = "SpatialExperiment")

rd10xV> sample_ids <- c("section1", "section2")

rd10xV> samples <- file.path(dir, sample_ids, "outs")

rd10xV> list.files(samples[1])
[1] "raw_feature_bc_matrix" "spatial"              

rd10xV> list.files(file.path(samples[1], "spatial"))
[1] "scalefactors_json.json"    "tissue_lowres_image.png"  
[3] "tissue_positions_list.csv"

rd10xV> file.path(samples[1], "raw_feature_bc_matrix")
[1] "/Library/Frameworks/R.framework/Versions/4.4-x86_64/Resources/library/SpatialExperiment/extdata/10xVisium/section1/outs/raw_feature_bc_matrix"

rd10xV> (spe <- read10xVisium(samples, sample_ids, 
rd10xV+   type = "sparse", data = "raw", 
rd10xV+   images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features=50 | Cells=99 | Assays=counts
   .cell              in_tissue array_row array_col sample_id pxl_col_in_fullres
   <chr>              <lgl>         <int>     <int> <chr>                  <int>
 1 AAACAACGAATAGTTC-1 FALSE             0        16 section1                2312
 2 AAACAAGTATCTCCCA-1 TRUE             50       102 section1                8230
 3 AAACAATCTACTAGCA-1 TRUE              3        43 section1                4170
 4 AAACACCAATAACTGC-1 TRUE             59        19 section1                2519
 5 AAACAGAGCGACTCCT-1 TRUE             14        94 section1                7679
 6 AAACAGCTTTCAGAAG-1 FALSE            43         9 section1                1831
 7 AAACAGGGTCTATATT-1 FALSE            47        13 section1                2106
 8 AAACAGTGTTCCTGGG-1 FALSE            73        43 section1                4170
 9 AAACATGGTGAGAGGA-1 FALSE            62         0 section1                1212
10 AAACATTTCCCGGATT-1 FALSE            61        97 section1                7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>

rd10xV> # base directory 'outs/' from Space Ranger can also be omitted
rd10xV> samples2 <- file.path(dir, sample_ids)

rd10xV> (spe2 <- read10xVisium(samples2, sample_ids, 
rd10xV+   type = "sparse", data = "raw", 
rd10xV+   images = "lowres", load = FALSE))
# A SpatialExperiment-tibble abstraction: 99 × 7
# Features=50 | Cells=99 | Assays=counts
   .cell              in_tissue array_row array_col sample_id pxl_col_in_fullres
   <chr>              <lgl>         <int>     <int> <chr>                  <int>
 1 AAACAACGAATAGTTC-1 FALSE             0        16 section1                2312
 2 AAACAAGTATCTCCCA-1 TRUE             50       102 section1                8230
 3 AAACAATCTACTAGCA-1 TRUE              3        43 section1                4170
 4 AAACACCAATAACTGC-1 TRUE             59        19 section1                2519
 5 AAACAGAGCGACTCCT-1 TRUE             14        94 section1                7679
 6 AAACAGCTTTCAGAAG-1 FALSE            43         9 section1                1831
 7 AAACAGGGTCTATATT-1 FALSE            47        13 section1                2106
 8 AAACAGTGTTCCTGGG-1 FALSE            73        43 section1                4170
 9 AAACATGGTGAGAGGA-1 FALSE            62         0 section1                1212
10 AAACATTTCCCGGATT-1 FALSE            61        97 section1                7886
# ℹ 89 more rows
# ℹ 1 more variable: pxl_row_in_fullres <int>

rd10xV> # tabulate number of spots mapped to tissue
rd10xV> cd <- colData(spe)

rd10xV> table(
rd10xV+   in_tissue = cd$in_tissue, 
rd10xV+   sample_id = cd$sample_id)
         sample_id
in_tissue section1 section2
    FALSE       28       27
    TRUE        22       22

rd10xV> # view available images
rd10xV> imgData(spe)
DataFrame with 2 rows and 4 columns
    sample_id    image_id   data scaleFactor
  <character> <character> <list>   <numeric>
1    section1      lowres   ####   0.0510334
2    section2      lowres   ####   0.0510334
[ FAIL 0 | WARN 3 | SKIP 0 | PASS 38 ]

[ FAIL 0 | WARN 3 | SKIP 0 | PASS 38 ]
> 
> proc.time()
   user  system elapsed 
 46.634   1.879  55.188 

Example timings

tidySpatialExperiment.Rcheck/tidySpatialExperiment-Ex.timings

nameusersystemelapsed
aggregate_cells10.229 0.43112.386
arrange4.8450.0805.736
as_tibble4.6300.0695.456
bind_cols4.9540.0645.748
bind_rows4.9680.0685.749
count4.8470.0735.748
distinct4.6510.0745.687
ellipse4.7740.0695.613
extract4.8300.0686.123
filter4.8820.0645.983
formatting4.6460.0615.456
ggplot4.8710.0735.485
glimpse4.4700.0635.079
group_by4.6630.0615.302
inner_join5.2130.0665.928
join_features4.9800.0825.792
left_join5.2040.0755.629
mutate4.7240.0605.082
nest4.8880.0665.650
pivot_longer4.6420.0705.341
plot_ly4.8200.1365.571
pull4.5990.0685.441
rectangle4.7460.0645.523
rename5.1320.0765.948
right_join5.1550.0786.145
rowwise4.6840.0685.467
sample_n5.2310.0746.377
select4.5420.0635.340
separate4.7690.0735.877
slice4.7540.0705.705
summarise4.5420.0625.308
tbl_format_header0.0000.0010.000
unite5.6300.0966.470
unnest5.2260.0745.946