dosen't lsa in r support foreign language
my code
library("lsa")
Loading required package: SnowballC
trm = textmatrix("s/")
the error
[lsa] - could not open file s/s.txt due to encoding problems of the file.
or am doing something wrong
the file which produces error is the source page of amazon
You could try loading the file up in something like Notepad++, then save it as a different encoding. There are also utilities that will convert it, I use one in Git-bash sometimes called iconv. You have to install Git to get access to it.
Related
I am writing a vignette in RMarkdown and I want to point out a programming mistake.
listofnumbers <- as.list(1:4)
listofnumbers[2] + listofnumbers[3]
This code snippet produces an error:
Error in listofnumbers[2] + listofnumbers[3] : non-numeric argument
to binary operator
However, I am working on a system localised to German. The error message I get is in German:
Error in listofnumbers[2] + listofnumbers[3]: nicht-numerisches Argument für binären Operator
If anyone renders the vignette themselves that may be good. But to pre-render it with the package I would need the English message.
Also, I do not want to change my system settings permanently to English.
I investigated using an output hook. But I do not know how to translate the German message to English.
I am working on Windows 10.
If the environment variable LANGUAGE is set to en, error messages will be displayed in English. This needs to be in place at the time R starts.
If you are using RStudio, then it starts a new copy of R to process vignettes when you click on Knit, so you can do this in the current session using
Sys.setenv(LANGUAGE="en")
That should also work if the vignette is processed when you build the package as long as you start a new session to do the build. By default devtools::build() and related functions do that.
If you are running RMarkdown within the current session (e.g. by calling rmarkdown::render()) that won't work, because it happens too late. In that case you can use OS features to set the environment variable, or set it in the .Renviron file in your home directory as
LANGUAGE=en
Since you say you are on Windows, you have to do this carefully: Windows doesn't like filenames like .Renviron, and may try to change it to something else.
This method should work if you use R CMD build to build your packages outside of RStudio.
I have an R package, created by someone else that I have been made a collaborator on, that I want to work on and develop. I've already cloned the repository to my local computer through the Create Project > Clone from GitHub route in RStudio, and since then I've been editing the scripts, but not working with it as a package. As in, I had been adding functions and working on a Shiny interface, but not following any R package development rules (loading packages directly into the .R files, not updating the NAMESPACE, using roxygen2 conventions, etc.).
Everything I've read mentions devtools::install_github, but I don't want to install and use it, I want to edit it like I've been doing. I also want it to still be connected to Git (so I can continue to commit and pull from the remote server, once my collaborators make edits). I've tried devtools::load_all() and devtools::document(), but it gives me this warning:
Error in FUN(X[[i]], ...) :
bad restore file magic number (file may be corrupted) -- no data loaded
In addition: Warning messages:
1: In readChar(con, 5L, useBytes = TRUE) :
truncating string with embedded nuls
2: file ‘file_example.rda’ has magic number 'X'
Use of save versions prior to 2 is deprecated
Do I need to delete my local copy and do something different to work with it as a package so that the functionality of roxygen2 and the NAMESPACE documentation will work correctly? Or is there an obvious reason for this error/something I'm missing about how to work with it as a package, how it is currently?
Thanks!
It looks like file_example.rda is corrupt
Can you just load it in R and check what it contains?
You could try:
tools::resaveRdaFiles( 'file_example.rda', compress='xz' )
And see if that saves it in a way that is acceptable?
I am trying to use a data set of .nc4 files downloaded from NASA.
The format NCDF4 is confirmed by this source.
I used download .file in R to get the database and then a simple nc_open (ncdf4 package) to test the file. Unfortunately the result is an "Unknown file format" error.
Here my replication file and my script:
download.file (url=http://hydro1.gesdisc.eosdis.nasa.gov/.../url, destfile=destination_folder/file.nc4)
All fine till this point, but when testing the files:
library(ncdf4)
setwd('destination_folder')
data <- nc_open('file.nc4')
Error in R_nc4_open: NetCDF: Unknown file format
Error in nc_open("file.nc4") :
Error in nc_open trying to open file file.nc4
Am I missing something?
Thank you.
I do not know what is wrong, but I can add the information that the problem resides in the Windows implementation of the ncdf4 package. With the following statement:
catlg<-nc_open("http://opendap.deltares.nl/thredds/dodsC/opendap/rijkswaterstaat/waterbase/concentration_of_suspended_matter_in_water/catalog.nc")
I have the same problem as described in the question. However, it works perfectly in R under Linux
The file server is an OpenDAP server strictly following netcdf 4 conventions, but maybe some features are not correctly implemented in the ncdf4 package under Windows
for some reason I get the same error using [64-bit] C:\Program Files\R\R-3.4.2), but when using [64-bit] C:\Program Files\R\R-3.3.3 the ncdf4 package works fine.
not that this solves the problem, but it provides an easy work around for the time being.
So basically I succesfully exported my SQL view data into a csv file. but no when I load into Rgui software, I get the following errror:
> load("C:\\Users\\dachen\\Documents\\vTargetBuyers.csv")
Error: bad restore file magic number (file may be corrupted) -- no data loaded
In addition: Warning message:
file ‘vTargetBuyers.csv’ has magic number 'Marit'
Use of save versions prior to 2 is deprecated
What should I do? Is it the R version installed wrong? or something wrong with my CSV file?
Try using read.csv instead of load. load is for reading files created by save.
Type ?read.csv to access the documentation.
I am downloading data from data.gov website and I get following two types of errors in the process:
fileUrl <- "http://catalog.data.gov/dataset/expenditures-on-children-by-families"
download.file(fileUrl,destfile=".data/studentdata.csv",method="curl")
Warning message:
In download.file(fileUrl, destfile = ".data/studentdata.csv", method = "curl") :
download had nonzero exit status
I tried to remove the method="curl" as suggested in other forum, but again I get this new error
download.file(fileUrl,destfile=".data/studentdata.csv")
Error in download.file(fileUrl, destfile = ".data/studentdata.csv") :
cannot open destfile '.data/studentdata.csv', reason 'No such file or directory'
I think there are two major factors why your curl doesn't work well.
First, the problem is on your URL. fileUrl <- "http://catalog.data.gov/dataset/expenditures-on-children-by-families". In your URL, it is not referred to a csv file. So, they won't work even if you set the destination into a csv file such as destfile = ".data/studentdata.csv"
I have an example of getting a csv dataset using the same code (different dataset):
DataURL<- "https://data.baltimorecity.gov/api/views/dz54-2aru/rows.csv?accessType=DOWNLOAD" (This link refers to a rows.csv file)
download.file(DataURL, destfile="./data/rows.csv", method="curl") (The method is quite same, using curl)
Second, previously I had the same problem that the curl does not work, even I used a proper URL that refers to a csv file. However, when I diagnosed a bit deeper, I found something interesting fact about why my curl method cannot work properly. It was my R session program. I used a 32-bit R, in which the error occurs. Later then, I tried to change the session into a 64-bit R. Amazingly, and the download status was running at that time. To see your R session architecture (whether you are using 32-bit or 64-bit), type in your R:
sessionInfo()
R version 3.5.3 (2019-03-11)
Platform: x86_64-w64-ming32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
You have to switch your R, from 32-bit to 64-bit to avoid 'curl' call had nonzero exit status. You go to your R directory folder, and then you run a 64-bit R.
If you are using a Windows OS and installing the R in a default path folder, you can run this C:\Program Files\R\R-3.5.3\bin\x64\R.exe. (I used a version of 3.5.3, so it may be different with your version)
If you are using R-studio, you can switch the R session on the menubar Tools -> Global Options -> R version -> Change -> Use your machine's default version of R64 (64-bit) -> OK. Then restart your R-studio.
However, it depends on your OS architecture. If you are using a 32-bit OS, hence you have to find another way to solve this.
So looking at the code for download.file(...), if you specify method="curl" the function tries to use the curl shell command. If this command does not exist on your system, you will get the error above.
If you do not specify a method, the default is to use an internal R method to download, which evidently works on your system. In that case, the function is trying to put the file in .data/studentdata.csv but evidently there is not .data directory. Try taking out the ..
When this download works, you will get a text/html file, not a csv file. Your url points to a web page, not a download link. That page does have a download link, but unfortunately it is a pdf, not a csv.
Finally, if your goal is to have the data in R (is it?), and if the link actually produces a csv file, you could more easily use
df <- read.csv(fileUrl)
If I'm not very much mistaken you just have a simple typo here. I suspect you have a "data" directory, not a ".data" directory - in which case your only problem is that your destfile string needs to begin "./data", not ".data".
I was having the same problem.
Then I realized that I forget to create the "data" directory!
So try adding this above your fileURL line to create the directory first.
if(!file.exists("data")){
dir.create("data")
}
Also, if you are running a Mac, then you want to keep method="curl" when downloading a https file. I don't believe Windows has that problem hence the suggestions to remove it.
Try this:
file<-'http://catalog.data.gov/dataset/expenditures-on-children-by-families'
file<- read.csv(file)