Closed jxshi closed 3 years ago
Hi @jxshi sure I'll take a look. The |>
symbol is the new native pipe in R that works like the magrittr pipe %>%
. Try it out!
Hi @mjsteinbaugh ,
Thank you for clarifying. I updated R
to 4.1.1 and the |>
symbol was correctly interpreted. However, I was still unable to knit the rmarkdown file. It encountered another error message:
label: get-deseqresults
→ phenotype_PMF_vs_control (shrunken LFC)
|......................... | 36%
ordinary text without R code
|........................... | 38%
label: results
→ Dropping genes without an adjusted P value.
ℹ 113 differentially expressed genes (alpha < 0.05)
Quitting from lines 179-198 (mpncomb_PMF_vs_control_FuncAnno_BP.Rmd)
Error in h(simpleError(msg, call)) :
error in evaluating the argument 'x' in selecting a method for function 'rownames': object 'sig_res_df' not found
Calls: <Anonymous> ... eval -> eval -> rownames -> .handleSimpleError -> h
Execution halted
I checked the rmarkdown template and changed sig_res_df
to sig_res
. It went through. However, another new error popped up.
label: ranked-list
! Dropping 32827 genes without an Entrez identifier.
→ Averaging 'stat' value for 294 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 296 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 296 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 296 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 296 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 296 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 294 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 297 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 296 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
→ Averaging 'stat' value for 297 genes: 27328, 2953, 7554, 51622, 55871, 55747, 79937, 283971, 8294, 11013, 801, 25832, 90557, 3020, 653.....
|........................................... | 62%
ordinary text without R code
|............................................. | 64%
label: gse-go
preparing geneSet collections...
GSEA analysis...
Quitting from lines 315-350 (mpncomb_PMF_vs_control_FuncAnno_BP.Rmd)
Error in mcfork(detached) :
unable to fork, possible reason: Cannot allocate memory
Calls: <Anonymous> ... bploop.lapply -> .send_to -> .send_to -> <Anonymous> -> mcfork
Execution halted
I checked the available memory with free -g
and there was plenty to use.
total used free shared buff/cache available
Mem: 251 12 195 3 42 230
Swap: 63 0 63
Thank you very much!
Best, Jianxiang
@jxshi Would it be possible to post a link to the object you're using in the above post? It's not easy to reproduce this issue with any of the objects I've tested so far. I'm wondering if switching to the future package from BiocParallel may help in this case, but I can't test it easily.
Hi @mjsteinbaugh,
I updated future
package to the development version with the following command and it went through.
remotes::install_github("HenrikBengtsson/future", ref="develop")
Cheers!
Best, Jianxiang
@jxshi I haven't changed any of the code to use the future package yet, I'm just wondering if it's maybe more robust here instead of using BiocParallel
Hi,
I recently upgraded
bcbioRNASeq
to the latest version. And I noticed that there are significant changes in the rmarkdown template forFunctional Annotation
. What does the|>
symbol mean in the following code? I have googled the symbol around but found no clue.I rendered the new rmarkdown template but it went into error with the following error message:
Can you check for me, please? Thank you for your time!
Best, Jianxiang