Question

Cannot download “EBImage” library in R

0

Entering edit mode

Henry1234 • 0

@pakhang-24115

Last seen 4.0 years ago

I am using Windows, R version 4.0.3. I want to install the library "EBImage" so I entered the following command:

install.packages("BiocManager")
BiocManager::install("EBImage")

The following error is given:

Package which is only available in source form, and may need compilation of C/C++/Fortran: ‘EBImage’
  These will not be installed

I have my C++ compiler installed.

Can Anyone show me the correct way to install the package? Any help is appreciated!

R EBImage • 2.6k views

ADD COMMENT • link written 4.0 years ago by Henry1234 • 0

1

Entering edit mode

Instead of your C++ compiler installed, you may need Rtools to compile the package from source under Windows

ADD REPLY • link 4.0 years ago sergisayolspuig ▴ 80

0

Entering edit mode

Have you tried BiocManager::install("EBImage", type="source") This will compile by source. If it gives ERROR's please show the ERROR messages.

ADD REPLY • link 4.0 years ago shepherl 4.1k

0

Entering edit mode

The following is shown:

Installation path not writeable, unable to update packages: codetools, KernSmooth, nlme
Old packages: 'digest', 'rlang', 'xfun'

I proceed to update them and this happened:

package ‘digest’ successfully unpacked and MD5 sums checked
Warning: cannot remove prior installation of package ‘digest’
Warning: restored ‘digest’
package ‘rlang’ successfully unpacked and MD5 sums checked
Warning: cannot remove prior installation of package ‘rlang’
Warning: restored ‘rlang’
package ‘xfun’ successfully unpacked and MD5 sums checked
Warning: cannot remove prior installation of package ‘xfun’
Warning: restored ‘xfun’
...
Warning messages:
1: In install.packages(...) :
  installation of package ‘EBImage’ had non-zero exit status
...

ADD REPLY • link 4.0 years ago Henry1234 • 0

1

Entering edit mode

Not sure if it could help, but when updating a package, it's better to close all R/RStudio session to avoid potential use of the package (at least under Windows). Then start a R session with an empty environment, or a really new/empty RStudio project. Then update the package, and it should succeed because it is not loaded nor any of its dependencies (except the core packages). HTH

ADD REPLY • link 4.0 years ago SamGG ▴ 350