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Hello
I tried to install MSGFplus in R version 3.6.1.
It said: package ‘MSGFplus’ is not available (for R version 3.6.1).
What can I do in this step?
Thank you in advance for great help!
Best,
Yue
>install.packages("MSGFplus")
Installing package into ‘/home/li/R/x86_64-pc-linux-gnu-library/3.6’
(as ‘lib’ is unspecified)
Warning in install.packages :
package ‘MSGFplus’ is not available (for R version 3.6.1)
# include your problematic code here with any corresponding output
# please also include the results of running the following in an R session
sessionInfo( )
R version 3.6.1 (2019-07-05)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.3 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
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] stats graphics grDevices utils datasets methods base
other attached packages:
[1] rTANDEM_1.26.0 data.table_1.13.2 Rcpp_1.0.5 XML_3.99-0.3 rpx_1.22.0
loaded via a namespace (and not attached):
[1] colorspace_1.4-1 ellipsis_0.3.1 htmlTable_2.1.0 XVector_0.26.0 GenomicRanges_1.38.0
[6] base64enc_0.1-3 rstudioapi_0.11 mzR_2.20.0 affyio_1.56.0 bit64_4.0.5
[11] AnnotationDbi_1.48.0 fansi_0.4.1 xml2_1.3.2 codetools_0.2-18 splines_3.6.1
[16] ncdf4_1.17 doParallel_1.0.16 impute_1.60.0 geneplotter_1.64.0 knitr_1.30
[21] Formula_1.2-4 isobar_1.32.0 annotate_1.64.0 cluster_2.1.0 vsn_3.54.0
[26] dbplyr_2.0.0 png_0.1-7 startupmsg_0.9.6 sfsmisc_1.1-7 BiocManager_1.30.10
[31] compiler_3.6.1 httr_1.4.2 backports_1.2.0 assertthat_0.2.1 Matrix_1.2-17
[36] limma_3.42.2 cli_2.1.0 htmltools_0.5.0 prettyunits_1.1.1 tools_3.6.1
[41] gtable_0.3.0 glue_1.4.2 GenomeInfoDbData_1.2.2 affy_1.64.0 dplyr_1.0.2
[46] rappdirs_0.3.1 MALDIquant_1.19.3 Biobase_2.46.0 vctrs_0.3.4 preprocessCore_1.48.0
[51] iterators_1.0.13 xfun_0.19 stringr_1.4.0 lifecycle_0.2.0 zlibbioc_1.32.0
[56] MASS_7.3-53 scales_1.1.1 MSnbase_2.12.0 pcaMethods_1.78.0 hms_0.5.3
[61] ProtGenerics_1.18.0 parallel_3.6.1 SummarizedExperiment_1.16.1 RColorBrewer_1.1-2 curl_4.3
[66] memoise_1.1.0 gridExtra_2.3 ggplot2_3.3.2 biomaRt_2.42.1 rpart_4.1-15
[71] latticeExtra_0.6-29 stringi_1.5.3 RSQLite_2.2.1 genefilter_1.68.0 S4Vectors_0.24.4
[76] foreach_1.5.1 checkmate_2.0.0 BiocGenerics_0.32.0 BiocParallel_1.20.1 GenomeInfoDb_1.22.1
[81] rlang_0.4.8 pkgconfig_2.0.3 bitops_1.0-6 matrixStats_0.57.0 mzID_1.24.0
[86] lattice_0.20-41 purrr_0.3.4 htmlwidgets_1.5.2 bit_4.0.4 tidyselect_1.1.0
[91] plyr_1.8.6 magrittr_1.5 DESeq2_1.26.0 R6_2.5.0 IRanges_2.20.2
[96] generics_0.1.0 Hmisc_4.4-1 DelayedArray_0.12.3 DBI_1.1.0 pillar_1.4.6
[101] foreign_0.8-76 survival_3.2-7 RCurl_1.98-1.2 nnet_7.3-14 tibble_3.0.4
[106] crayon_1.3.4 BiocFileCache_1.10.2 jpeg_0.1-8.1 progress_1.2.2 locfit_1.5-9.4
[111] grid_3.6.1 blob_1.2.1 distr_2.8.0 digest_0.6.27 xtable_1.8-4
[116] openssl_1.4.3 stats4_3.6.1 munsell_0.5.0 askpass_1.1
Hello Laurent Gatto,
Thank you so much for your great help!
Best,
Yue