Hello,
Can you please direct me towards the resources needed to install deseq2 in Jupyter Notebook with a R kernel on a Mac? I have tried to install Anaconda, an R kernel, then followed the code described here (https://bioconductor.org/packages/release/bioc/html/DESeq2.html), here (https://github.com/ljdursi/glbio-jupyter-workshop) and several other sites. I continuously receive errors that "'X' package had non-zero exit status".
After trying the last resource on github my R kernel did not work at all. I have since uninstalled anaconda to start fresh.
Can you please show/direct me towards the resources I need to install deseq2 in Jupyter Notebook with a R kernal for a Mac?
Thank you in advance for your time!
David
For example, when I run this installation code from: http://master.bioconductor.org/packages/release/workflows/html/rnaseqGene.html
I receive:
Thereafter, I try to update the packages but to no avail.
Start with the first problem
and debug that
BiocManager::install("preprocessCore")
; report what the specific problem is here on the mailing list. Consider formatting your code (select and press the little 101010 icon above the input window) to make it more readable.Hello Martin,
I tried but run into the following cycle again:
I run:
I receive:
So I run:
But receive:
So I run:
This returns no error. I try to test that I have DESeq2 with 'browseVignettes("rnaseqGene")`
But I receive: `Error in find.package(package, lib.loc): there is no package called ‘rnaseqGene’
What do you think? Am I missing something very simple?
Thank you for your time!
David
Please follow my instructions and try only to install preprocessCore. (ahh, I see you did, but only after I reformatted your post so that it was readable!)
Sorry Martin! I promised I used the formatting you described (and the proof below looked good) but as soon as a added the comment it reverted back.
This is a test- look OK?
I think you installed other packages using conda, so install preprocessCore using conda.
Alternatively, since your R and R compilers are based on conda, you need to install R packages from 'source' rather than as pre-built binaries. So try
Some versions of conda did not play well with mixed installations; I am unsure of the current situation.
Use single backticks for short,
inline()
code; use triple back ticks to surround longer code chunks.Thanks for your time and help Martin! Unfortunately, this did not work either. I received this error:
do you think my R version: 3.5.1 is the problem?
We need a log. Where are you located? Would you want to do a google hangout to try to dig into your configuration?
Hello Vincent. Ok sure. Your tip below did help but I still having issues updating the packages.
I am in Bozeman, MT. Absolutely, whenever you have time. Please let me know. Thank you!
David
Hello Vincent. Ok sure. Your tip below did help but I still having issues updating the packages.
I am in Bozeman, MT. Absolutely, whenever you have time. Please let me know. Thank you!
David
Maybe this afternoon we can do a screenshare. I will be out for a couple of hours. Jupyter is just gobbling up the key information, you need to work outside of it and all will be well eventually. I don't think too many people administer R through jupyter ... once it is properly set up Jupyter is a great interactive environment for using R, but when there are sharp corners you don't want to have it intervening.
I think my version of R, 3.5.1 is too new. Can you please direct me towards a source of 3.5?
I think my version of R, 3.5.1 is too new. Can you please direct me towards a source of 3.5?