Hi,

I am running R under Rstudio for the analysis of single-cell RNA-Seq data.

When trying to analyse some data I keep getting the message

> slicer_traj_lle <- lle(t(deng[slicer_genes,]), m = 2, k)$Y
finding neighbours
calculating weights
Error in eigen(G, symmetric = TRUE, only.values = TRUE) :
  LAPACK routines cannot be loaded


After searching the net I couldn't find a way to install LAPACK on a mac.
When trying to install it via homebrew I get this message (this is a
shorted message. the complete message is below):

brew install lapack

...

macOS already provides this software and installing another version in

parallel can cause all kinds of trouble.

For compilers to find this software you may need to set:

    LDFLAGS:  -L/usr/local/opt/lapack/lib

    CPPFLAGS: -I/usr/local/opt/lapack/include

For pkg-config to find this software you may need to set:

    PKG_CONFIG_PATH: /usr/local/opt/lapack/lib/pkgconfig


I truely don't understand why my mac can't find the lapack, if it already
there and i still can't figure out, how to tell my R tool / RStudio, where
to find lapack.

Does anyone has an idea how to do this?

thanks

Assa
> R.version
               _
platform       x86_64-apple-darwin13.4.0
arch           x86_64
os             darwin13.4.0
system         x86_64, darwin13.4.0
status
major          3
minor          3.1
year           2016
month          06
day            21
svn rev        70800
language       R
version.string R version 3.3.1 (2016-06-21)
nickname       Bug in Your Hair


> sessionInfo()
R version 3.3.1 (2016-06-21)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.12.4 (Sierra)

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
 [1] splines   stats4    parallel  stats     graphics  grDevices utils
datasets  methods
[10] base

other attached packages:
 [1] R.utils_2.5.0        R.oo_1.21.0          R.methodsS3_1.7.1
 Seurat_1.4.0.14
 [5] cowplot_0.7.0        SLICER_0.2.0         alphahull_2.1        lle_1.1

 [9] snowfall_1.84-6.1    snow_0.4-2           MASS_7.3-47
 scatterplot3d_0.3-40
[13] igraph_1.0.1         destiny_2.0.8        monocle_2.2.0
 DDRTree_0.1.4
[17] irlba_2.1.2          VGAM_1.0-3           ggplot2_2.2.1
 Biobase_2.34.0
[21] BiocGenerics_0.20.0  Matrix_1.2-8         M3Drop_1.0.0
numDeriv_2016.8-1
[25] TSCAN_1.12.0

loaded via a namespace (and not attached):
  [1] shinydashboard_0.5.3   lme4_1.1-13            RSQLite_1.1-2
  [4] AnnotationDbi_1.36.2   htmlwidgets_0.8        grid_3.3.1
  [7] combinat_0.0-8         trimcluster_0.1-2      ranger_0.7.0
 [10] Rtsne_0.13             munsell_0.4.3          codetools_0.2-15
 [13] statmod_1.4.29         colorspace_1.3-2       fastICA_1.2-0
 [16] knitr_1.15.1           ROCR_1.0-7             robustbase_0.92-7
 [19] vcd_1.4-3              tensor_1.5             VIM_4.7.0
 [22] TTR_0.23-1             lars_1.2               slam_0.1-40
 [25] splancs_2.01-40        bbmle_1.0.19           mnormt_1.5-5
 [28] polyclip_1.6-1         pheatmap_1.0.8         rprojroot_1.2
 [31] diptest_0.75-7         R6_2.2.0               RcppEigen_0.3.2.9.1
 [34] flexmix_2.3-14         bitops_1.0-6           spatstat.utils_1.4-1
 [37] assertthat_0.2.0       scales_0.4.1           nnet_7.3-12
 [40] gtable_0.2.0           goftest_1.1-1          MatrixModels_0.4-1
 [43] lazyeval_0.2.0         ModelMetrics_1.1.0     acepack_1.4.1
 [46] checkmate_1.8.2        reshape2_1.4.2         abind_1.4-5
 [49] backports_1.0.5        httpuv_1.3.3           rsconnect_0.7
 [52] Hmisc_4.0-2            caret_6.0-76           tools_3.3.1
 [55] gplots_3.0.1           RColorBrewer_1.1-2     proxy_0.4-16
 [58] Rcpp_0.12.10           plyr_1.8.4             base64enc_0.1-3
 [61] RCurl_1.95-4.8         rpart_4.1-11           deldir_0.1-14
 [64] pbapply_1.3-2          viridis_0.4.0          S4Vectors_0.12.2
 [67] zoo_1.8-0              cluster_2.0.6          magrittr_1.5
 [70] data.table_1.10.4      SparseM_1.77           lmtest_0.9-35
 [73] mvtnorm_1.0-6          matrixStats_0.52.2     mime_0.5
 [76] evaluate_0.10          xtable_1.8-2           smoother_1.1
 [79] pbkrtest_0.4-7         XML_3.98-1.6           mclust_5.2.3
 [82] IRanges_2.8.2          gridExtra_2.2.1        HSMMSingleCell_0.108.0
 [85] biomaRt_2.30.0         tibble_1.3.0           KernSmooth_2.23-15
 [88] minqa_1.2.4            htmltools_0.3.6        segmented_0.5-1.4
 [91] mgcv_1.8-17            Formula_1.2-1          tclust_1.2-3
 [94] DBI_0.6-1              fpc_2.1-10             boot_1.3-19
 [97] car_2.1-4              sgeostat_1.0-27        gdata_2.17.0
[100] sn_1.5-0               foreign_0.8-68         laeken_0.4.6
[103] sp_1.2-4               foreach_1.4.3          stringr_1.2.0
[106] digest_0.6.12          tsne_0.1-3             rmarkdown_1.5
[109] htmlTable_1.9          kernlab_0.9-25         shiny_1.0.3
[112] gtools_3.5.0           quantreg_5.33          modeltools_0.2-21
[115] nloptr_1.0.4           nlme_3.1-131           viridisLite_0.2.0
[118] limma_3.30.13          lattice_0.20-35        DEoptimR_1.0-8
[121] survival_2.41-3        xts_0.9-7              qlcMatrix_0.9.5
[124] FNN_1.1                spatstat_1.50-0        prabclus_2.2-6
[127] iterators_1.0.8        class_7.3-14           stringi_1.1.5
[130] mixtools_1.1.0         latticeExtra_0.6-28    caTools_1.17.1
[133] memoise_1.1.0          dplyr_0.5.0            e1071_1.6-8
[136] ape_4.1                tripack_1.3-8

________________________
$brew install lapack

==> *Installing dependencies for lapack: **gcc*

==> *Installing lapack dependency: **gcc*

==> *Using the sandbox*

==> *Downloading https://ftp.gnu.org/gnu/gcc/gcc-6.3.0/gcc-6.3.0.tar.bz2
<https://ftp.gnu.org/gnu/gcc/gcc-6.3.0/gcc-6.3.0.tar.bz2>*

########################################################################
100.0%

==> *Downloading
https://raw.githubusercontent.com/Homebrew/formula-patches/e9e0ee09389a54cc4c8fe1c24ebca3cd765ed0ba/gcc/6.1.0-jit.patch
<https://raw.githubusercontent.com/Homebrew/formula-patches/e9e0ee09389a54cc4c8fe1c24ebca3cd765ed0ba/gcc/6.1.0-jit.patch>*

########################################################################
100.0%

==> *Patching*

==> *Applying 6.1.0-jit.patch*

patching file gcc/jit/Make-lang.in

==> *../configure --build=x86_64-apple-darwin16.5.0
--prefix=/usr/local/Cellar/gcc/6.3.0_1
--libdir=/usr/local/Cellar/gcc/6.3.0_1/lib/gcc/6 --enable-*

==> *make bootstrap*


==> *make install*

Error: The `brew link` step did not complete successfully

The formula built, but is not symlinked into /usr/local

Could not symlink bin/gfortran

Target /usr/local/bin/gfortran

already exists. You may want to remove it:

  rm '/usr/local/bin/gfortran'


To force the link and overwrite all conflicting files:

  brew link --overwrite gcc


To list all files that would be deleted:

  brew link --overwrite --dry-run gcc


Possible conflicting files are:

/usr/local/bin/gfortran -> /usr/local/bin/gfortran-4.8

==> *Summary*

🍺  /usr/local/Cellar/gcc/6.3.0_1: 1,358 files, 238MB, built in 120 minutes
1 second

==> *Installing **lapack*

==> *Downloading
https://homebrew.bintray.com/bottles/lapack-3.7.0_2.sierra.bottle.tar.gz
<https://homebrew.bintray.com/bottles/lapack-3.7.0_2.sierra.bottle.tar.gz>*

########################################################################
100.0%

==> *Pouring lapack-3.7.0_2.sierra.bottle.tar.gz*

==> *Caveats*

This formula is keg-only, which means it was not symlinked into /usr/local.


macOS already provides this software and installing another version in

parallel can cause all kinds of trouble.


For compilers to find this software you may need to set:

    LDFLAGS:  -L/usr/local/opt/lapack/lib

    CPPFLAGS: -I/usr/local/opt/lapack/include

For pkg-config to find this software you may need to set:

    PKG_CONFIG_PATH: /usr/local/opt/lapack/lib/pkgconfig


==> *Summary*

🍺  /usr/local/Cellar/lapack/3.7.0_2: 27 files, 10.4MB

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