I have my local R and the R in my env, and I can see different version number when I call them correspondingly.
Yes, Thank you! Yea I see, the version is not the problem. ** byte-compile and prepare package for lazy loading ** package ‘tidyverse’ successfully unpacked and MD5 sums checked * installing *source* package ‘tidyverse’. (r35p36) cd ~/anaconda3/envs/r35p36/lib/R/libraryĪlso installing the dependencies ‘colorspace’, ‘ps’, ‘highr’, ‘markdown’, ‘lattice’, ‘plyr’, ‘Matrix’, ‘labeling’, ‘munsell’, ‘RColorBrewer’, ‘zeallot’, ‘rematch’, ‘prettyunits’, ‘processx’, ‘knitr’, ‘yaml’, ‘htmltools’, ‘evaluate’, ‘tinytex’, ‘xfun’, ‘utf8’, ‘backports’, ‘generics’, ‘nlme’, ‘reshape2’, ‘assertthat’, ‘pkgconfig’, ‘tidyselect’, ‘BH’, ‘plogr’, ‘DBI’, ‘ellipsis’, ‘gtable’, ‘lazyeval’, ‘mgcv’, ‘scales’, ‘viridisLite’, ‘withr’, ‘vctrs’, ‘clipr’, ‘cellranger’, ‘progress’, ‘callr’, ‘fs’, ‘rmarkdown’, ‘whisker’, ‘selectr’, ‘fansi’, ‘pillar’, ‘broom’, ‘cli’, ‘crayon’, ‘dplyr’, ‘dbplyr’, ‘forcats’, ‘ggplot2’, ‘haven’, ‘hms’, ‘lubridate’, ‘modelr’, ‘purrr’, ‘readr’, ‘readxl’, ‘reprex’, ‘rlang’, ‘rstudioapi’, ‘rvest’, ‘tibble’, ‘tidyr’ The log is way too long to post everything because of installing dependencies and compiling, but here is the top and bottom of the log.I'll also note that I've had problems doing this with packages having openssl as a dependency. Tidyverse is on conda, so I would use conda in this case, but out of curiousity I installed the way I describe above and it worked fine. Updating HTML index of packages in '.Library' ** testing if installed package can be loaded ** package ‘ISLR’ successfully unpacked and MD5 sums checked Please select a CRAN mirror for use in this session -ģ: Australia (Canberra) 4: Australia (Melbourne 1) ĥ: Australia (Melbourne 2) 6: Australia (Perth) ħ: Austria 8: Belgium (Ghent) ĩ: Brazil (PR) 10: Brazil (RJ) ġ1: Brazil (SP 1) 12: Brazil (SP 2) ġ5: China (Hong Kong) 16: China (Guangzhou) ġ7: China (Lanzhou) 18: China (Shanghai) ġ9: Colombia (Cali) 20: Czech Republic Ģ1: Denmark 22: Ecuador (Cuenca) Ģ3: Ecuador (Quito) 24: Estonia Ģ5: France (Lyon 1) 26: France (Lyon 2) Ģ7: France (Marseille) 28: France (Montpellier) Ģ9: France (Paris 2) 30: Germany (Erlangen) ģ1: Germany (Göttingen) 32: Germany (Münster) ģ3: Germany (Regensburg) 34: Greece ģ7: Indonesia (Jakarta) 38: Ireland ģ9: Italy (Padua) 40: Japan (Tokyo) Ĥ1: Japan (Yonezawa) 42: Korea (Busan) Ĥ3: Korea (Gyeongsan-si) 44: Korea (Seoul 1) Ĥ5: Korea (Ulsan) 46: Malaysia Ĥ7: Mexico (Mexico City) 48: Norway Ĥ9: Philippines 50: Serbia ĥ1: Spain (A Coruña) 52: Spain (Madrid) ĥ3: Sweden 54: Switzerland ĥ5: Turkey (Denizli) 56: Turkey (Mersin) ĥ7: UK (Bristol) 58: UK (London 1) ĥ9: USA (CA 1) 60: USA (IA) Ħ1: USA (KS) 62: USA (MI 1) Ħ3: USA (MI 2) 64: USA (OR) Ħ5: USA (TN) 66: USA (TX 1) Ĭontent type 'application/x-gzip' length 1757568 bytes (1.7 MB) 'help.start()' for an HTML browser interface to help. Type 'demo()' for some demos, 'help()' for on-line help, or
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~/anaconda3/envs/r35p27/lib/R/library (base) joe:~$ conda activate r35p27Ĭopyright (C) 2018 The R Foundation for Statistical Computing Just to make sure, you're trying to install R packages into a conda env with R installed? And the R that is installed hasn't been updated?Īlso, at the moment it seems like R3.5.1 is the most "stable" A caveat is that all the correct permissions need to be in place for R to access existing packages. In general, if an R package exists in conda you should install via conda, however, if you call R from the conda env and then use install.packages(), the library path will be in the conda environment and everything should work ok, example below.
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