I'm trying to import data (.ods file) and I know how to import .csv, .xls etc. but I strand all the time. I tried it with the package Gnumeric but R tells me that the required program 'ssconvert' cannot be found.
I wrote a package called readODS
which has a function read.ods that returns ods files as data.frames
(a list of data.frames, one per sheet)
It is available on CRAN, see here!
Source and bug reports here:
https://github.com/chainsawriot/readODS
I had the exact problem on Ubuntu Linux. It's frustratingly obvious:
sudo apt-get install gnumeric
As it happens, I had a bunch of obsolete packages, and went thru a bunch to update them. The gnumeric library requires the XML library, and my installation of XML library was built on 2.14, and my R wouldn't load anything built before 3.0. I don't think that is your issue, but if this solution above doesn't work, maybe you could also check that your packages are up-to-date. Anything I installed via sudo had to be removed via sudo, or I got permissions errors.
It's frustratingly obvious, because the error message is
Error in read.gnumeric.sheet(file = fname, head = TRUE, sheet.name = "Sheet1") :
Required program 'ssconvert' not found.
To emphasize it, the package documentation at http://cran.at.r-project.org/web/packages/gnumeric/gnumeric.pdf says
Requires an external program, 'ssconvert' (normally installed with 'gnumeric' (http://projects.gnome.org/gnumeric/) in 'PATH'.
How do you get ssconvert? Again, frustratingly obvious: it's normally installed with gnumeric. Go to the command line, and type ssconvert, and it'll remind you that:
user#Computer:~$ ssconvert
The program 'ssconvert' is currently not installed. You can install it by typing:
sudo apt-get install gnumeric
I checked, ssconvert isn't in the dependency packages (like gnumeric-common), it's in gnumeric proper, so you have to install the complete gnumeric package:
sudo apt-get install gnumeric
I haven't tried it but the ROpenOffice package looks like it might do the job: http://www.omegahat.org/ROpenOffice/
Related
I'm using PyInstaller to compile a program and keep coming across the error "No module named 'charset_normalizer.md__mypyc.'" The Charset-Normalizer package is installed.
As a test, I tried re-compiling a program that I had previously created in early September without issue, but now receive the same error. I thought that maybe there is an issue with the versions of either PyInstaller or Charset-Normalizer so I've experimented with different versions, but cannot get it to work.
You are probably missing the "chardet" library
I installed it and it worked.
pip install chardet
I had the EXACT problem. Scripts that I was able to make into executables using Pyinstaller before I could no longer do so again. In my script I used the pdfplumber package, which when you install it also installs other packages like pillow, wand, charset-normalizer, etc.
Since the error was regarding charset-normalizer for me as well, I tried different versions of it. For me it was version 2.1.0 that made the executable work again. Install it with the "pip install charset-normalizer==2.1.0" command: https://pypi.org/project/charset-normalizer/2.1.0/.
If it does not work, go to "Release history" on that link and try another version. Try to remember when was the last time you created a working executable and get the version you think will work for you.
This worked for me:
I just added
from charset_normalizer import md__mypyc
to the top of my python script.
https://stackoverflow.com/a/58449206/20576777
If you don't have the charset-normalizer library installed, then you should install it using the following command:
pip install charset-normalizer
I got it to work by installing older versions of PyInstaller and Charest-Normalizer. Anytime this messages pops-up, consider installing an older version of the package.
Pyinstaller may sometimes miss your dependency. In such a case run pyinstaller with the --collect-all option.
In this case --collect-all charset_normalizer should force pyinstaller to include the dependency.
I was trying to install the package RINDSEL but I am unable to install it and I keep getting the following error:
Error in install.packages : cannot open the connection
I downloaded the package from:
rindsel_1.0_2.zip | Integrated Breeding Platform
and loaded it from the directory. Other packages from the directory can be installed but just not this one.
Is the package corrupt or could there be any other error?
I would really be grateful for any help. Thanks in advance
Rename the zip file RinSel Software into Rindsel. That's the name specified in the discription file.
Then, you can install the package in R with the command
install.packages("C:/path/to/Rindsel.zip",repos=NULL,type="win.binary")
That works fine... at first (!!!).
Problem with the Rindsel package is. It is quite old. It was build with R 2.13.1. Therefore, if you want to load the library which would be the next step to use the package in R you will get the error:
Problems building package (Error: "package has been build before R-3.0.0")
My suggestion: Contact the authors of the package and ask them if they can either provide the source file that you can build the package by yourself or if they can bundle the Rindsel package with a newer R version.
(Or you could try to hunt down an old R version and see if you can get the thing running with an old R... However, I would not seriously suggest to do that. It would probably result in conflicting dependencies with the other required packages...)
EDIT 15-02-2018: OP asked if one can build an R package with sources that are presumeably the Rindsel source files.
Yes, basically, you could do that. You would have to make a your own description and namespace file and put the source file in the R folder than invoke the command in R to build it....
But it's not neccessary with the script files provided by the link the OP posted.
OP, just run the scripts in R! It's quite easy.
Download the zip-file and extract it on your machine.
Go to that directory. The R command would be
setwd('path/to/your/directory')
Than run the R script, e.g, the KNIndex.r. It's simple:
source('KNIndex.r')
Then the script will run and produce some output / prompts.
For future readers,
I was able to fix the error by running RStudio with administrative privileges to get the command to work.
If that does not fix it, you might wish to try
Installing "r tools" if that is not installed already. That can be downloaded from
https://cran.r-project.org/bin/windows/Rtools/
Download a relevant package that you are trying to install (e.g., tidyverse_1.3.0.zip) from https://cran.rstudio.com/
and install that from local path
It can also be installed directly from the web using install.packages("https://cran.rstudio.com/bin/windows/contrib/4.0/tidyverse_1.3.0.zip")
I had the same problem. R was not able to extract and compile the package files to the default installation directory for some system-specific reasons (not R related).
I was able to fix this by specifying the installation directory of the package lib using:
install.packages("your package", lib = 'path/to your/required/installation/directory')
You can then load the package by specifying the lib.loc option while loading it:
library('your package', lib.loc='path/to your/required/installation/directory')
A better solution:
Create a new environment variable (if you are using windows) R_LIBS_USER with the following directory path/to your/required/installation/directory.
This will change the default installation directory of the packages and make it easier to load and install them without specifying the location everytime.
I'm pretty new to R so apologies for a stupid question. I'm trying to get rcpp running but I'm stuck in an endless loop of R asking me to re-install RTools.
I broadly followed the code in this blog post, although first time off I installed everything by hand & I've subsequently re-installed everything a few times over. I'm running Windows 7, R version 3.1.2, R Studio Version 0.98.1091 (not that this should matter much) and RTools 3.1.
An edited highlight of what my console looks like is as follows:
> library(installr)
Welcome to installr version 0.15.3...
> install.Rtools()
Loading required package: devtools
No need to install Rtools - You've got the relevant version of Rtools installed
> find_rtools()
[1] TRUE
> library(Rcpp)
> evalCpp("1+1")
Error in sourceCpp(code = code, env = env, rebuild = rebuild, showOutput = showOutput, :
Error 65535 occurred building shared library.
At which point a dialog box pops up saying:
Install Build Tools
Compiling C/C++ code for R requires installation of additional build tools.
Do you want to install the additional tools now?
And then I get directed to download and re-install RTools 3.1 from cran all over again.
I've seen that this can be an issue with the PATH variable but I've tried various things including:
Nothing (extra) in the PATH variable
Including both references to R (C:\Program Files\R\R-3.1.2\bin\x64) and RTools (C:\RBuildTools\3.1\bin;C:\RBuildTools\3.1\gcc-4.6.3\bin;) in the PATH. Once with RTools first, once with R first
Including just a reference to RTools in the PATH as the initial install file directed me to do.
Any ideas on things to try would be gratefully accepted!
EDIT
Following Dirk's comment it looks like I might have a problem with how RTools is installed. I've followed the instructions from several blogs / tutorials on how to install RTools; all to no avail (yet!)
This GitHub page gives some instructions on how install and check that the installation has worked. I've followed all the checks (see below for copy of the console) and it looks like I have a working install of RTools, but when I try to run evalCPP() again I get the same error as before directing me to install RTools.
> Sys.getenv('PATH')
[1] "C:\\Program Files\\R\\R-3.1.2\\bin\\x64;C:\\RTools\\bin;C:\\RTools\\gcc-4.6.3\\bin;C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\WINDOWS\\System32\\WindowsPowerShell\\v1.0\\;C:\\Program Files (x86)\\Enterprise Vault\\EVClient\\;C:\\Program Files (x86)\\Microsoft SQL Server\\100\\Tools\\Binn\\VSShell\\Common7\\IDE\\;C:\\Program Files (x86)\\Microsoft SQL Server\\100\\Tools\\Binn\\;C:\\Program Files\\Microsoft SQL Server\\100\\Tools\\Binn\\;C:\\Program Files (x86)\\Microsoft SQL Server\\100\\DTS\\Binn\\;C:\\Program Files (x86)\\Microsoft Visual Studio 9.0\\Common7\\IDE\\PrivateAssemblies\\;C:\\Program Files\\Microsoft SQL Server\\110\\Tools\\Binn\\;C:\\Program Files\\Microsoft\\Web Platform Installer\\;C:\\Program Files (x86)\\Microsoft SDKs\\TypeScript\\1.0\\;C:\\Program Files\\Microsoft SQL Server\\100\\DTS\\Binn\\"
Warning message:
printing of extremely long output is truncated
> system('g++ -v')
Using built-in specs.
COLLECT_GCC=C:\RTools\GCC-46~1.3\bin\G__~1.EXE
COLLECT_LTO_WRAPPER=c:/rtools/gcc-46~1.3/bin/../libexec/gcc/i686-w64-mingw32/4.6.3/lto-wrapper.exe
Target: i686-w64-mingw32
Configured with: /data/gannet/ripley/Sources/mingw-test3/src/gcc/configure --host=i686-w64-mingw32 --build=x86_64-linux-gnu --target=i686-w64-mingw32 --with-sysroot=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/mingw32 --prefix=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/mingw32 --with-gmp=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/prereq_install --with-mpfr=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/prereq_install --with-mpc=/data/gannet/ripley/Sources/mingw-test3/mingw32mingw32/prereq_install --disable-shared --enable-static --enable-targets=all --enable-languages=c,c++,fortran --enable-libgomp --enable-sjlj-exceptions --enable-fully-dynamic-string --disable-nls --disable-werror --enable-checking=release --disable-win32-registry --disable-rpath --disable-werror CFLAGS='-O2 -mtune=core2 -fomit-frame-pointer' LDFLAGS=
Thread model: win32
gcc version 4.6.3 20111208 (prerelease) (GCC)
> system('where make')
C:\Rtools\bin\make.exe
I've also had a look at Appendix D of R Installation and Admin. I can't see anything in here I've not already tried except for section D.4 which implies I might need to rebuild rcpp from source using my installed RTools. I don't have time to do this right away but will give it a try unless people say this route is not worth my time.
EDIT v2
So I tried building rcpp from source ... and that didn't work either. I downloaded both the package source and windows binaries from the CRAN Rcpp package page. In the R console I now get:
> install.packages(pkgs = "C:/Rcpp_0.11.4.tar.gz", repos = NULL, contriburl = NULL, type = "source", verbose = TRUE)
Installing package into ‘C:/Users/james.macadie/Documents/R/win-library/3.1’
(as ‘lib’ is unspecified)
system (cmd0): C:/PROGRA~1/R/R-31~1.2/bin/x64/R CMD INSTALL
Warning in install.packages :
package ‘C:/Rcpp_0.11.4.tar.gz’ is not available (for R version 3.1.2)
I guess my active questions now boil down to:
Reading the whole of the post above can anyone tell me how to fix things so it just works? Or, failing that...
What tests can I run to check I really do have Rtools installed correctly? Everything I have found on the internet suggests I do: system('where make') etc. However, the evidence of being unable to run evalCpp or other rccp functions suggests I don't.
What am I doing wrong when building from source? Should I try the command line option?
EDIT v3
Running evalCpp with showOutput= TRUE and verbose = TRUE I think I've tracked the error back to R CMD SHLIB not working. I followed this blog, which shows how to work with the command line R directly. However when I get to the line R CMD SHLIB sequence_examples.c the execution just skips straight to the next command line without doing anything, generating any files in the directory or throwing any errors. I tried running the --help options at the command line but get the same sort of error:
C:\Users\james.macadie> R --help
Or: R CMD command args
where 'command' is one of:
INSTALL Install add-on packages
REMOVE Remove add-on packages
SHLIB Make a DLL for use with dynload
BATCH Run R in batch mode
build Build add-on packages
check Check add-on packages
Rprof Post process R profiling files
Rdconv Convert Rd format to various other formats
Rdiff difference R output files
Rd2pdf Convert Rd format to PDF
Rd2txt Convert Rd format to pretty text
Stangle Extract S/R code from vignette
Sweave Process vignette documentation
config Obtain configuration information about R
open Open a file via Windows file associations
texify Process a latex file
Use
R CMD command --help
for usage information for each command.
C:\Users\james.macadie> R CMD SHLIB --help
C:\Users\james.macadie>
N.B. for people reading the earlier code samples higher up this post I have changed a few things since those code snapshots:
I've installed R directly into C:\R. It used to be in C:\Program Files\R\ but as has been suggested file paths with spaces in can cause problems
I'm referencing Rtools under C:\Rtools\ and not C:\RBuildTools\
Thanks for any suggestions, as ever
Had the same endless loop issue when trying to install Twitter's BreakoutDetection (which is also written in cpp)
fixed by executing the following
Sys.setenv(PATH="%PATH%;C:/Rtools/gcc-4.6.3/bin;c:/Rtools/bin")
and then answering "no" when presented with the following prompt:
"Install Build Tools Compiling C/C++ code for R requires installation of additional build tools. Do you want to install the additional tools now?"
Didn't try these actions independently so not sure if either on their own would have fixed the issue
I found that ensuring all of these were in my path fixed it. I did this with RStudio closed; I didn't reboot after.
C:\Program Files\R\R-3.1.3\bin\x64
C:\Program Files\R\R-3.1.3\bin
C:\RBuildTools\3.2\bin
C:\RBuildTools\3.2\gcc-4.6.3\bin64
C:\RBuildTools\3.2\gcc-4.6.3\bin
C:\RBuildTools\3.2\gcc-4.6.3\i686-w64-mingw32\bin
These are on my Win7-64bit computer. YMMV, and I'm mostly posting this to ensure others see it if they are having the same issue.
In the end it was something a bit left-field. Inspired by the following post, I had a look at the ComSpec environment variable. Not quite sure how, but I had it set to "cmd.exe".
Removing the double quotes, so it said cmd.exe, and then rebooting fixed everything.
Thanks to all who've tried to help.
I experienced the same problem, I fixed this problem by adding Rtools dir into env variables:
Sys.setenv(BINPREF = "C:/Rtools/mingw_$(WIN)/bin/")
I'm trying to install this cnv-seq package on my R library to help copying number variation analysis. However, when I type in
install.packages("cnv-seq")
in R command, an error code pops out saying it is not available for 3.1.1 version. So I tried the old versions as well. All says not available. And I double check with the menu, Packages-> Install packages->. No cnv-seq
Ok. Then I tried to install it from a local source which is the "cnv-seq.tar.gz"
when i type in
install.packages("C:/cnv-seq.tar.gz", repos=NULL, type="source")
it still returns an error that says cannot extract package from this file.
Installation of package had non-zero exit status.
Anything went wrong or is there another I can install this package manually to my PC? After take a look at a similar question here couple years ago,
How do I install an R package from source?
I still could not fix this problem.
This is a case of RTFM ;)
You can do the whole process from within R. Below, we download the archive to the temporary directory, then extract it and finally install it.
download.file('http://tiger.dbs.nus.edu.sg/cnv-seq/cnv-seq.tar.gz',
f <- tempfile())
untar(f, exdir=tempdir())
install.packages(file.path(tempdir(), 'cnv-seq', 'cnv'), type='source', repos=NULL)
I believe you first must untar the file. I believe 7zip has this capability if you do not have access to a linux machine. The linux command would be:
tar -xvf /path/to/file/cnv-seq.tar.gz
After you do this you should be able to import the package into R.
The forecast package for R has been updated to version 2.12, but there are currently only windows binarys for 2.11 available on CRAN.
How do I install an R package from the source on Windows?
I know this is an old question but it came up first in my Google search for this same question, even though I knew the answer I just wanted something to copy and paste. Which makes it worth improving the answer for future reference. So here is what works for me:
Install rtools, then:
install.packages(path_to_file, repos = NULL, type="source")
Two answers that may help you avoid the hassle of installing Rtools.
Use http://win-builder.r-project.org/ to build a binary version, download it, and install (using install.packages(...,repos=NULL))
If the package has no binary component (i.e. no src directory with C, C++, or Fortran code that needs to be compiled during installation (not true for forecast, but possibly useful some other time) then simply specifying type="source" within the install.packages call (whether from a repository or a local copy of the source tarball (.tar.gz file)) will install the source package, even on Windows.
Start by reviewing the section on Windows packages in the R Installation and Administration manual, then carefully follow the instructions from The Windows toolset appendix.
I know it's usually bad form to mainly provide links in an answer, but these are links to the canonical references on this topic. I simply link to them rather than summarize their contents, since they should be accurate for the most current R release.
I'm not sure if this is the best way, but I found the following method to work (based in part on the answers above):
1) Download the package .tar
2) Move the package to the directory with your user R libraries (e.g., in my case it was "C:/Users/yourUserName/Documents/R/win-library/3.3")
3) Within Rstudio (or elsewhere, probably), run the command... install.packages("packageName.tar", repos=NULL, type="source")
That worked for me at least. Hope it's helpful!
Download the package *.tar.gz.
make sure you have Rtools installed.
Make sure the R and Rtools paths are added in the environment varialble.
Open a command prompt. Type R CMD INSTALL packagename.tar.gz.
it will work i hope.
To install a package from a .tar.gz file, follow these steps:
Launch R to have the R command prompt
Type: install.packages(<path_to_tar.gz_file>, repos = NULL)
or launch directly:
R CMD INSTALL <path_to_.tar.gz_file>
You need to have R installed but you don't need RTools