I am using R 4.0.2.
I manually installed 2 packages from cfcdae
and Stats5303lib
from here . I followed the instruction here to download Rtools and use it to install packages above.
Problem is
writeLines('PATH="${RTOOLS40_HOME}\\usr\\bin;${PATH}"', con = "~/.Renviron") # runs fine
Sys.which("make") #works fine
make
"C:\\rtools40\\usr\\bin\\make.exe"
install.packages("Stat5303libs_0.7-5.zip",repos=NULL,type="source") # these all run fine
install.packages("cfcdae_0.8-4.zip",repos=NULL,type="source") # these all run fine
However, when I ran into problem below when I tried to run the libraries.
Error: package or namespace load failed for ‘cfcdae’:
package ‘cfcdae’ was installed before R 4.0.0: please re-install it
I tried below but still in vain.
update.packages(ask=FALSE, checkBuilt=TRUE)
Why is this happening? Is it because the package is too old?
Update:
As requested, i have changed my .libPaths()
as below and updated the SessionInfo()
as well.
> .libPaths()
[1] "C:/Users/UserME/Documents/R/win-library/4.0"
[2] "C:/Program Files/R/R-4.0.2/library"
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=English_Hong Kong SAR.1252 LC_CTYPE=English_Hong Kong SAR.1252
[3] LC_MONETARY=English_Hong Kong SAR.1252 LC_NUMERIC=C
[5] LC_TIME=English_Hong Kong SAR.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] Rcpp_1.0.4.6 rstudioapi_0.11 magrittr_1.5
[4] splines_4.0.2 MASS_7.3-51.6 tidyselect_1.1.0
[7] munsell_0.5.0 statmod_1.4.34 lattice_0.20-41
[10] colorspace_1.4-1 R6_2.4.1 rlang_0.4.6
[13] minqa_1.2.4 dplyr_1.0.0 tools_4.0.2
[16] grid_4.0.2 nlme_3.1-148 gtable_0.3.0
[19] ellipsis_0.3.1 lme4_1.1-23 tibble_3.0.1
[22] lifecycle_0.2.0 numDeriv_2016.8-1.1 crayon_1.3.4
[25] Matrix_1.2-18 nloptr_1.2.2.2 purrr_0.3.4
[28] ggplot2_3.3.2 vctrs_0.3.1 glue_1.4.1
[31] compiler_4.0.2 pillar_1.4.6 generics_0.0.2
[34] scales_1.1.1 boot_1.3-25 lmerTest_3.1-2
[37] pkgconfig_2.0.3
All packages need to be reinstalled under the new version (4.0). I had to first remove and then reinstall all the packages.
The following worked for me:
# check your package library path
.libPaths()
# grab old packages names
old_packages <- installed.packages(lib.loc = "/Library/Frameworks/R.framework/Versions/3.6/Resources/library")
old_packages <- as.data.frame(old_packages)
list.of.packages <- unlist(old_packages$Package)
# remove old packages
remove.packages( installed.packages( priority = "NA" )[,1] )
# reinstall all packages
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
lapply(list.of.packages,function(x){library(x,character.only=TRUE)})
A zip file is a pre-built binary package for use on Windows, not a source package. Installing it with install.packages(*, type="source")
won't make a difference. You'll need to contact the person/people who wrote these packages to build them again for R 4.0, or provide you with the real source -- this will usually be a .tar.gz
file.
This issue is likely to happen when R is reading from an old directory, eg pre R 4.0.x.
Here is a few possible ways to fix this:
.libPaths()
- R could be reading packages from a R 3.xx library, which would produce the error you are getting. Alternatively, try creating a new library directory (this is very likely to fix the issue).update.packages(ask=FALSE, checkBuilt=TRUE)
(which you have already tried) If you're having trouble with this issue while using renv
, you may need to look at your renv
cache . I had to delete mine to force my projects to use newly-installed versions of packages instead of the old ones.
In a similar situation, I renamed 'site-library' to 'old-site-library', made a new empty 'site-library' folder and proceeded from there successfully.
In case anyone runs into this error message when running revdepcheck::revdep_check()
, what worked for me was deleting the /revdep/
folder in my R package's directory.
This code worked for me
tmp = as.data.frame(installed.packages())
max_version = max(as.numeric(substr(tmp$Built, 1,1)))
tmp = tmp[as.numeric(substr(tmp$Built, 1,1)) < max_version,]
lapply(tmp$Package, remove.packages)
lapply(tmp$Package, function(x) install.packages(x, dependencies = TRUE))
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.