Last updated on 2024-12-23 12:49:41 CET.
Package | ERROR | NOTE | OK |
---|---|---|---|
dipsaus | 13 | ||
filearray | 13 | ||
ieegio | 2 | 11 | |
lazyarray | 13 | ||
ravetools | 1 | 4 | 8 |
readNSx | 13 | ||
rpyANTs | 13 | ||
rpymat | 13 | ||
shidashi | 13 | ||
spfda | 13 | ||
threeBrain | 6 | 7 |
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: ERROR: 2, OK: 11
Version: 0.0.2
Check: examples
Result: ERROR
Running examples in ‘ieegio-Ex.R’ failed
The error most likely occurred in:
> ### Name: imaging-volume
> ### Title: Read and write volume data
> ### Aliases: imaging-volume read_volume write_volume io_read_mgz
> ### io_write_mgz io_write_mgz.ieegio_volume io_write_mgz.ieegio_mgh
> ### io_write_mgz.nifti io_write_mgz.niftiImage
> ### io_write_mgz.ants.core.ants_image.ANTsImage io_write_mgz.array
> ### io_read_nii io_write_nii io_write_nii.ieegio_nifti
> ### io_write_nii.ants.core.ants_image.ANTsImage io_write_nii.niftiImage
> ### io_write_nii.nifti io_write_nii.ieegio_mgh io_write_nii.array
>
> ### ** Examples
>
>
>
> library(ieegio)
>
> nifti_file <- "brain.demosubject.nii.gz"
>
> # Use `ieegio_sample_data(nifti_file)`
> # to download sample data
>
>
> if( ieegio_sample_data(nifti_file, test = TRUE) ) {
+
+ # ---- NIfTI examples ---------------------------------------------
+
+ file <- ieegio_sample_data(nifti_file)
+
+ # basic read
+ vol <- read_volume(file)
+
+ # voxel to scanner RAS
+ vol$transforms$vox2ras
+
+ # to freesurfer surface
+ vol$transforms$vox2ras_tkr
+
+ # to FSL
+ vol$transforms$vox2fsl
+
+ image(vol$data[,,128], asp = 1, axes = FALSE)
+
+ # ---- using other methods --------------------------------------
+ # default
+ vol <- read_volume(file, method = "oro", format = "nifti")
+ vol$header
+
+ # lazy-load nifti
+ vol2 <- read_volume(file, method = "rnifti", format = "nifti")
+ vol2$header
+
+ # Using ANTsPyx
+ vol3 <- read_volume(file, method = "ants", format = "nifti")
+ vol3$header
+
+ # ---- write --------------------------------------------------------
+
+ # write as NIfTI
+ f <- tempfile(fileext = ".nii.gz")
+
+ write_volume(vol, f, format = "nifti")
+
+ # alternative method
+ write_volume(vol$header, f, format = "nifti")
+
+ # write to mgz/mgh
+ f2 <- tempfile(fileext = ".mgz")
+
+ write_volume(vol, f, format = "mgh")
+
+ # clean up
+ unlink(f)
+ unlink(f2)
+
+ }
<simpleWarning in check_forbidden_install("Miniconda"): cannot install Miniconda during R CMD check>
Warning in check_forbidden_install("Conda Environments") :
cannot install Conda Environments during R CMD check
Error: Unable to find conda binary. Is Anaconda installed?
Execution halted
Flavors: r-release-macos-arm64, r-oldrel-macos-arm64
Current CRAN status: NOTE: 13
Version: 1.1.0
Check: C++ specification
Result: NOTE
Specified C++11: please drop specification unless essential
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, 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
Current CRAN status: ERROR: 1, NOTE: 4, OK: 8
Version: 0.2.0
Check: package dependencies
Result: ERROR
Package required but not available: ‘RNiftyReg’
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.2.0
Check: installed package size
Result: NOTE
installed size is 14.9Mb
sub-directories of 1Mb or more:
libs 14.1Mb
Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: OK: 13
Current CRAN status: NOTE: 6, OK: 7
Version: 1.2.0
Check: installed package size
Result: NOTE
installed size is 7.3Mb
sub-directories of 1Mb or more:
R 2.0Mb
threeBrainJS 2.9Mb
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