Using Julia Studio (Win XP) and trying to add package DataFrames - how can the following error be resolved?
Unknown dependency for GARCH: NLopt
(How can I verify that a package was installed) Running dv = DataArray([1,2,3]) says DataArray not defined. So it seems stuck.
You're using a rather old version of julia (0.1.x) and the GARCH package doesn't support it. Try installing a development version from source (it takes a bit the first time, but should be quite automatic) or try a development binary.
Edit: Also, this issue may now be taken care of if you want to do Pkg.update() and try again.
Related
I am trying to use the Twitter.jl package locally on my M1 Mac. However, when I try to install it, I get:
ERROR: Error building `DecFP`:
┌ Warning: Platform `arm64-apple-darwin21.2.0` is not an officially supported platform
└ # BinaryProvider ~/.julia/packages/BinaryProvider/U2dKK/src/PlatformNames.jl:450
ERROR: LoadError: KeyError: key "unknown" not found
DecFP looks like it's an up to date Julia package so I am not sure what the issue would be in this case.
I would like to get a general set of steps to resolve issues like this since I know this package isn't the only one that will have installation issues so hopefully this can be used to help others who have similar issues.
The issue is that Twitter.jl is pulling an old version of OAuth.jl which doesn't work on the M1. I have opened a PR so it pulls a newer version and it should work.
About these cases in general the steps are identifying what package is using BinaryProvider, in this case it's an old MbedTLS that was pulled by an old OAuth. The solutions are, if there is a newer version, change the compat bounds, and if there isn't then one has to build the needed binary using BinaryBuilder.jl and change the dependent packages to use it.
In most cases just opening an issue in github should be enough :).
Due to my company's firewall I am manually installing packages from local. No errors when building the package from terminal, but I get an error when I load the package using library function
unable to load shared object 'C:/Program Files/R/R-3.6.1/library/Rcpp/libs/x64/Rcpp.dll':
LoadLibrary failure: The specified procedure could not be found.
And it also throws a prompt
Any help is appreciated thanks!
Tried:
Error in inDL(x, as.logical(local), as.logical(now), ...) : unable to load shared object
https://github.com/r-lib/rlang/issues/306
None of the above seemed to work
I had this issue. I was using R 4.0.0 in RStudio (1.2.5042). I had been using R just fine all morning and continually had this issue all afternoon. I restarted my computer, updated my packages, and confirmed everything worked well on another computer. Finally I updated to R 4.0.2 and my issue resolved.
My binary package was correctly pathed to 4.0/Rcpp. I still don't know what caused the issue, but since this seemed to fix it hope it will for any future folk with this issue!
There has been a significant change in the build tools used for binary R packages on Windows:
Starting with R 4.0.0 (released April 2020), R for Windows uses a brand new toolchain bundle called rtools40.
https://cran.r-project.org/bin/windows/Rtools/
This means one has to be extra careful to get the correct file when downloading binary packages from CRAN, since packages for build with incompatible build tools will not work. At the time of writing this means:
Use the ones for r-oldrel for R 3.6
Use the ones for r-release for R 4.0
When this question was asked, R 4.0 was still r-devel.
You do not have to think about this things when using the build in install.packages() instead of manually downloading files from CRAN.
I am trying to embed RInside to my application on win7 64-bit system but when I initialize an RInside:
Rin = new RInside(argc, argv);
the following message appears:
Error in loadNamespace(name) : there is no package called 'Rcpp'
This error only occurs with Windows.
I think you get that issue when your .libPaths() differ--in other words run the .libPaths() function to see the paths stored by R for its use. Then check where RInside is installed, and make sure Rcpp is installed there too. It is a setup issue.
In other words, it should work if you have Rcpp and RInside installed where the basic R libraries are. Otherwise you have to tell the (embedded) R session about the other location (and before it starts).
There are more Windows users on the list, so you could try asking on rcpp-devel.
First get your default library locations by command ".Library" in R.
Get Rcpp package from https://cran.r-project.org/web/packages/Rcpp/index.html.
Unzip and copy folder "Rcpp" to your default library locations obtained from step1.
Now you are ready to install packages which have dependencies on Rcpp.
Dirk is right in this case, BUT if the .libPaths() does not work, then please also check if you have the latest packages.
I am posting this as an ancillary answer backup which I ran into with the shiny package backend switch of their code needing Rcpp!
In this case of getting the "no package" error message, I fixed it by:
Selecting devtools package and then using this line below. (if you don't have devtools then get it with install.packages("devtools")
devtools::install_github("rstudio/shiny")
The development version of the package handled this better, and added the package as a dependency.
Mods - I realize this is an answer to an old question, but I might help others not wasting an hour like I just did.
You might find it easy if the answers are for both R studio users and non R studio users.
R Studio users
First get your default library locations by command ".Library" in R.
Get Rcpp package from https://cran.r-project.org/web/packages/Rcpp/index.html.
Unzip and copy folder "Rcpp" to your default library locations obtained from step 1, you will find another folder named library, paste the unzip folder in it.
Non R studio Users
First get your default library locations by command ".libPath" in R.
Get Rcpp package from https://cran.r-project.org/web/packages/Rcpp/index.html.
Unzip and copy folder "Rcpp" to your default library locations obtained from step 1, you will find another folder named library, paste the unzip folder in it.
I was also getting this error while trying to run the 'ggplot' function from the ggplot2 package. After trying the suggestions posted here and elsewhere (checking file paths, restarting R, clearing out my environment, etc.) and encountering several other cryptic error messages, it turned out that I needed to download the latest version of base R for Windows (v3.4.1) and update my version of R-Studio to the latest version also (v1.0.153).
After doing this my 'ggplot' function was working again and I was able to render my figure from R Studio without any further issues.
I was also getting this message when trying to use ggplot. I first updating both my R for Windows to 3.4.3. Then updating R studio to version 1.1.423; then, updating all of the packages and being sure to access the R version 3.4.3 from R studio, I still got the message. None of these things fixed the error. I was ready to give up until I noticed that I was calling library(ggplot) and had ggplot::ggplot in my code. THIS WAS THE PROBLEM. I changed it to library(ggplot2) and the instance to ggplot2::ggplot(...). THIS FIXEd the problems.
I was facing a similar issue, and I simply installed the said package. It's working perfectly for me.
I am trying to embed RInside to my application on win7 64-bit system but when I initialize an RInside:
Rin = new RInside(argc, argv);
the following message appears:
Error in loadNamespace(name) : there is no package called 'Rcpp'
This error only occurs with Windows.
I think you get that issue when your .libPaths() differ--in other words run the .libPaths() function to see the paths stored by R for its use. Then check where RInside is installed, and make sure Rcpp is installed there too. It is a setup issue.
In other words, it should work if you have Rcpp and RInside installed where the basic R libraries are. Otherwise you have to tell the (embedded) R session about the other location (and before it starts).
There are more Windows users on the list, so you could try asking on rcpp-devel.
First get your default library locations by command ".Library" in R.
Get Rcpp package from https://cran.r-project.org/web/packages/Rcpp/index.html.
Unzip and copy folder "Rcpp" to your default library locations obtained from step1.
Now you are ready to install packages which have dependencies on Rcpp.
Dirk is right in this case, BUT if the .libPaths() does not work, then please also check if you have the latest packages.
I am posting this as an ancillary answer backup which I ran into with the shiny package backend switch of their code needing Rcpp!
In this case of getting the "no package" error message, I fixed it by:
Selecting devtools package and then using this line below. (if you don't have devtools then get it with install.packages("devtools")
devtools::install_github("rstudio/shiny")
The development version of the package handled this better, and added the package as a dependency.
Mods - I realize this is an answer to an old question, but I might help others not wasting an hour like I just did.
You might find it easy if the answers are for both R studio users and non R studio users.
R Studio users
First get your default library locations by command ".Library" in R.
Get Rcpp package from https://cran.r-project.org/web/packages/Rcpp/index.html.
Unzip and copy folder "Rcpp" to your default library locations obtained from step 1, you will find another folder named library, paste the unzip folder in it.
Non R studio Users
First get your default library locations by command ".libPath" in R.
Get Rcpp package from https://cran.r-project.org/web/packages/Rcpp/index.html.
Unzip and copy folder "Rcpp" to your default library locations obtained from step 1, you will find another folder named library, paste the unzip folder in it.
I was also getting this error while trying to run the 'ggplot' function from the ggplot2 package. After trying the suggestions posted here and elsewhere (checking file paths, restarting R, clearing out my environment, etc.) and encountering several other cryptic error messages, it turned out that I needed to download the latest version of base R for Windows (v3.4.1) and update my version of R-Studio to the latest version also (v1.0.153).
After doing this my 'ggplot' function was working again and I was able to render my figure from R Studio without any further issues.
I was also getting this message when trying to use ggplot. I first updating both my R for Windows to 3.4.3. Then updating R studio to version 1.1.423; then, updating all of the packages and being sure to access the R version 3.4.3 from R studio, I still got the message. None of these things fixed the error. I was ready to give up until I noticed that I was calling library(ggplot) and had ggplot::ggplot in my code. THIS WAS THE PROBLEM. I changed it to library(ggplot2) and the instance to ggplot2::ggplot(...). THIS FIXEd the problems.
I was facing a similar issue, and I simply installed the said package. It's working perfectly for me.
I'm building R packages in R 3.0.1 on a Windows machine, using Rtools30 and the 'Build' tools associated with RStudio, which I assume is tied in with devtools (which is up-to-date). My typical process to build a package is:
Load All
Reoxygenize
Build & Reload
Check
Build Source Package
If everything goes without errors or warnings, I then:
install.packages("foo.tar.gz", repos=NULL, type="source")
Since upgrading to R 3.0.1, I now get this warning:
Warning in install.packages :
foo.tar.gz is not available (for R version 3.0.1)
I also tried before installing, and it did not get rid of the warning:
options(install.packages.check.source = FALSE)
Also, I notice this warning when I open the devtools library:
WARNING: Rtools 3.0 found on the path at c:/Rtools is not compatible with R 3.0.1.
Which is weird, Rtools 3.0 is suppose to be good from R >2.15.1 to R 3.0.x
Any ideas what is going on?
This is RStudio specific, as they wrap and/or changed a lot of functions from the utils for better integration. The problem lies with a call to getDependencies() to check for dependencies. But that function will also check whether the original package exists on CRAN and throws the given warning when it doesn't. A package you just built on your own computer is obviously not on CRAN, hence the warning.
In the source of the native install.packages(), getDependencies() isn't called in case you build from source or install from a different repository respectively. RStudio on the other hand calls getDependencies() before it passes everything on to the native install.packages() function.
This has to my knowledge no further effects, apart from confusing people. I didn't find a way to conveniently get rid of this in RStudio, as suppressWarnings() doesn't work in this context due to the complex way RStudio deals with this.
In a basic R console, you shouldn't have any problem.
So for the time being, I'd just ignore this and hope the RStudio team finds time to take care of this minor glitch.