When trying to load a cache and that cache does not exist and there is no code given to generate a new cache, the following error is given:
"Error in doTryCatch(return(expr), name, parentenv, handler) :
::Error:: If you do not provide an instruction argument, you must set global option RBUILD.DIR with setCacheBuildDir, or specify abuildDir parameter directly to simpleCache()."
This could happen if simpleCache is being used only for loading a cache into R as part of a script (not creating a new cache) but the cache name has changed. It would be helpful if the error message mentioned that a cache with the given name does not exist.
When trying to load a cache and that cache does not exist and there is no code given to generate a new cache, the following error is given:
"Error in doTryCatch(return(expr), name, parentenv, handler) : ::Error:: If you do not provide an instruction argument, you must set global option RBUILD.DIR with setCacheBuildDir, or specify abuildDir parameter directly to simpleCache()."
This could happen if simpleCache is being used only for loading a cache into R as part of a script (not creating a new cache) but the cache name has changed. It would be helpful if the error message mentioned that a cache with the given name does not exist.
Session info:
R version 3.5.3 (2019-03-11) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 16.04.6 LTS
Matrix products: default BLAS: /usr/lib/libblas/libblas.so.3.6.0 LAPACK: /usr/lib/lapack/liblapack.so.3.6.0
locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8
[6] LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages: [1] grid parallel stats4 stats graphics grDevices utils datasets methods base
other attached packages: [1] COCOA_1.0.1 folderfun_0.1.1 MultiAssayExperiment_1.8.1 SummarizedExperiment_1.12.0 DelayedArray_0.8.0
[6] BiocParallel_1.16.5 matrixStats_0.54.0 Biobase_2.42.0 gridExtra_2.3 ComplexHeatmap_1.20.0
[11] MIRA_1.4.1 RGenomeUtils_0.01 ggplot2_3.1.0 simpleCache_0.3.1 data.table_1.12.0
[16] GenomicRanges_1.34.0 GenomeInfoDb_1.18.1 IRanges_2.16.0 S4Vectors_0.20.1 BiocGenerics_0.28.0
[21] LOLA_1.12.0
loaded via a namespace (and not attached): [1] Rcpp_1.0.0 locfit_1.5-9.1 circlize_0.4.5 lattice_0.20-38 tidyr_0.8.2 Rsamtools_1.34.1
[7] Biostrings_2.50.2 gtools_3.8.1 assertthat_0.2.0 R6_2.3.0 plyr_1.8.4 pillar_1.3.1
[13] GlobalOptions_0.1.0 zlibbioc_1.28.0 rlang_0.3.1 lazyeval_0.2.1 rstudioapi_0.9.0 GetoptLong_0.1.7
[19] R.utils_2.7.0 R.oo_1.22.0 Matrix_1.2-17 stringr_1.3.1 RCurl_1.95-4.11 munsell_0.5.0
[25] bsseq_1.18.0 HDF5Array_1.10.1 compiler_3.5.3 rtracklayer_1.42.1 pkgconfig_2.0.2 shape_1.4.4
[31] tidyselect_0.2.5 tibble_2.0.1 GenomeInfoDbData_1.2.0 XML_3.98-1.16 permute_0.9-4 crayon_1.3.4
[37] dplyr_0.7.8 withr_2.1.2 GenomicAlignments_1.18.1 bitops_1.0-6 R.methodsS3_1.7.1 gtable_0.2.0
[43] magrittr_1.5 scales_1.0.0 stringi_1.2.4 XVector_0.22.0 reshape2_1.4.3 bindrcpp_0.2.2
[49] limma_3.38.3 DelayedMatrixStats_1.4.0 RColorBrewer_1.1-2 rjson_0.2.20 Rhdf5lib_1.4.2 tools_3.5.3
[55] BSgenome_1.50.0 glue_1.3.0 purrr_0.3.0 colorspace_1.4-0 rhdf5_2.26.2 bindr_0.1.1