Dear All,
I have performed a great analysis on a HPC cluster platform. I can use sessionInfo() to record all the package version and settings. Now I need to do same work in another platform AWS-clound. Is there any way to easily set as same environment as HPC? I need to keep same setting before the R-version matters for my results.
Conda ? YAML?
Thanks.
Shicheng
> sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-conda-linux-gnu (64-bit)
Running under: CentOS Linux 8 (Core)
Matrix products: default
BLAS/LAPACK: /home/sguo2/miniconda3/lib/libopenblasp-r0.3.12.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats4 parallel stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] ape_5.5 biomaRt_2.48.3 mygene_1.28.0
[4] GenomicFeatures_1.44.2 AnnotationDbi_1.54.1 Biobase_2.52.0
[7] GenomicRanges_1.44.0 GenomeInfoDb_1.28.2 IRanges_2.26.0
[10] S4Vectors_0.30.0 BiocGenerics_0.38.0 officer_0.4.0
[13] officedown_0.2.2 knitr_1.35 readxl_1.3.1
[16] UniprotR_2.1.0 forcats_0.5.1 stringr_1.4.0
[19] dplyr_1.0.7 purrr_0.3.4 readr_2.0.2
[22] tidyr_1.1.4 tibble_3.1.5 ggplot2_3.3.5
[25] tidyverse_1.3.1
loaded via a namespace (and not attached):
[1] utf8_1.2.2 proto_1.0.0
[3] tidyselect_1.1.1 RSQLite_2.2.8
[5] htmlwidgets_1.5.4 grid_4.1.0
[7] BiocParallel_1.26.2 devtools_2.4.2
[9] airr_1.3.0 munsell_0.5.0
[11] chron_2.3-56 withr_2.4.2
[13] colorspace_2.0-2 filelock_1.0.2
[15] highr_0.9 uuid_0.1-4
[17] rstudioapi_0.13 ggsignif_0.6.3
[19] MatrixGenerics_1.4.3 GenomeInfoDbData_1.2.6
[21] bit64_4.0.5 rprojroot_2.0.2
[23] vctrs_0.3.8 generics_0.1.0
[25] xfun_0.24 BiocFileCache_2.0.0
[27] R6_2.5.1 bitops_1.0-7
[29] cachem_1.0.6 DelayedArray_0.18.0