I am reading a (sparse) arff using read.arff method of RWeka package. However I get the following error:
Error in .jnew("java/io/FileReader", file) :
java.io.FileNotFoundException: (No such file or directory)
The file I am trying to read in exists (file.exists('myfile.arff') return TRUE).
My one line code is:
data = read.arff(system.file('arff', 'myfile.arff', package='RWeka'))
Any ideas what might be going on?
Thanks.
Edit 1: traceback() output
> traceback()
4: stop(list(message = "java.io.FileNotFoundException: (No such file or directory)",
call = .jnew("java/io/FileReader", file), jobj = <S4 object of class "jobjRef">))
3: .External("RcreateObject", class, ..., silent = silent, PACKAGE = "rJava")
2: .jnew("java/io/FileReader", file)
1: read.arff(system.file("arff", "/home/andy/r/myfile.arff",
package = "RWeka"))
You seem to be using the format of the example in help(read.arff) without understanding why it is written using the system.file() function. If your .arff file is not in the package directory (and it does not appear to be so located), then you should not be using that function. Try instead:
mydat <- read.arff(file= "/home/andy/r/myfile.arff")
Or maybe just this if it is in your working directory:
mydat <- read.arff(file= "myfile.arff")
Related
Usually I'm using the openxlsx package and the write.xlsx function when exporting R data frames into .xlsx-files. Since yesterday - probably after I was using the package XLConnect - something got messed up and the write.xlsx function doesn't work anymore. This is the error I get:
Error in zipr(zipfile = tmpFile, include_directories = FALSE, files = list.files(path = tmpDir, :
unused argument (include_directories = FALSE)
Unfortunately, I don't understand what this error means. Thanks for any helpful advice.
Edit: The function works when I use an older openxlsx version (4.1.0).
I was getting the same error.
I think the problem is with dependencies of openxlsx. There is a "zipR" package that might be picked up when you install openxlsx, while the actual dependency is zip package:
https://cran.r-project.org/web/packages/zip/index.html
https://cran.r-project.org/web/packages/zipR/zipR.pdf
I installed "zip" along with openxlsx and I don't get the error anymore.
I do not really understand the error message here. My computer does not allow me to save files to "c:/". So, if remove "c:/" part, it works fine, to save the file to the current working directory.
library(openxlsx)
df <- data.frame('x' = c(1,2,3),
'y' = c(3,2,1))
openxlsx::write.xlsx(df, "test.xlsx")
You would also try another package: writexl
writexl::write_xlsx(df, "text5.xlsx")`
This works on my machine.
I have a .rec file that I want to import into R. I have saved the .rec file to my working directory. This is what I have tried.
library(foreign)
library(RODBC)
data.test <- read.epiinfo("data_in.rec")
I get this error:
Error in if (headerlength <= 0L)
stop("file has zero or fewer variables: probably not an EpiInfo file") :
missing value where TRUE/FALSE needed
In addition: Warning messages:
1:
In readLines(file, 1L, ok = TRUE) :
line 1 appears to contain an embedded nul
2:
In strsplit(line, " ") : input string 1 is invalid in this locale
I have looked online and in the read.epiinfo help package in R. The help package says
Some later versions of Epi Info use the Microsoft Access file format
to store data. That may be readable with the RODBC package.
I have two questions.
1. Is the error I am getting because the .rec file I have is from an Epi Info version later than 6?
2. How do I use the RODBC library to open the .rec file?
The .rec (or .REC) file turned out to be a .EDF (European Data Format) file type. It was easily opened in R using the library edfReader. The edfReader library help file is very useful for opening the file and extracting the time series data. See code below for what I used. Code was adapted from the help file.
install.packages('edfReader')
library(edfReader)
?edfReader
lib.dir <- system.file("data_in.rec",package="edfReader")
Cfile <- paste(lib.dir,'/edfPlusC.edf',sep='')
CHdr <- readEdfHeader("data_in.rec")
CSignals <- readEdfSignals(CHdr)
summary(CSignals)
I have installed the required packages - gdata and ggplot2 and I have installed perl.
library(gdata)
library(ggplot2)
# Read the data from the excel spreadsheet
df = data.frame(read.xls ("AssignmentData.xlsx", sheet = "Data", header = TRUE, perl = "C:\\Strawberry\\perl\\bin\\perl.exe"))
However when I run this I get the following error:
Error in xls2sep(xls, sheet, verbose = verbose, ..., method = method, :
Intermediate file 'C:\Users\CLAIRE~1\AppData\Local\Temp\RtmpE3UYWA\file8983d8e1efc.csv' missing!
In addition: Warning message:
running command '"C:\STRAWB~1\perl\bin\perl.exe" "C:/Users/Claire1992/Documents/R/win-library/3.1/gdata/perl/xls2csv.pl" "AssignmentData.xlsx" "C:\Users\CLAIRE~1\AppData\Local\Temp\RtmpE3UYWA\file8983d8e1efc.csv" "Data"' had status 2
Error in file.exists(tfn) : invalid 'file' argument
Thanks to #Stibu I realised I had to set my work directory. This is the command you use to run in Rstudio; setwd("C/Documents..."). The file path is where the excel file is located.
I had the issue but I solved it differently.
My problem was because my file was saved as Excel (extension .xls) but it was a txt file.
I corrected the file and I did not meet any other error with the R function.
I tried to use get_rollit_source from the RcppRoll package as follows:
library(RcppRoll)
get_rollit_source(roll_max,edit=TRUE,RStudio=TRUE)
I get an error:
Error in get("outFile", envir = environment(fun)) :
object 'outFile' not found
I tried
outFile="C:/myDir/Test.cpp"
get_rollit_source(roll_max,edit=TRUE,RStudio=FALSE,outFile=outFile)
I get an error:
Error in get_rollit_source(roll_max, edit = TRUE, RStudio = FALSE, outFile = outFile) :
File does not exist!
How can fix this issue?
I noticed that the RcppRoll folder in the R library doesn't contain any src directory. Should I download it?
get_rollit_source only works for 'custom' functions. For things baked into the package, you could just download + read the source code (you can download the source tarball here, or go to the GitHub repo).
Anyway, something like the following should work:
rolling_sqsum <- rollit(final_trans = "x * x")
get_rollit_source(rolling_sqsum)
(I wrote this package quite a while back when I was still learning R / Rcpp so there are definitely some rough edges...)
I have a package which contains a csv file which I put in inst/extdata per R-exts. This file is needed for the vignette. If I Sweave the vignette directly, all works well. When I run R --vanilla CMD check however, the check process can't find the file. I know it has been moved into an .Rcheck directory during checking and this is probably part of the problem. But I don't know how to set it up so both direct Sweave and vignette building/checking works.
The vignette contains a line like this:
EC1 <- dot2HPD(file = "../inst/extdata/E_coli/ecoli.dot",
node.inst = "../inst/extdata/E_coli/NodeInst.csv",
and the function dot2HPD accesses the file via:
ni <- read.csv(node.inst)
Here's the error message:
> tab <- read.csv("../inst/extdata/E_coli/NodeInst.csv")
Warning in file(file, "rt") :
cannot open file '../inst/extdata/E_coli/NodeInst.csv': No such file or directory
When sourcing ‘HiveR.R’:
Error: cannot open the connection
Execution halted
By the way, this is related to this question but that info seems outdated and doesn't quite cover this territory.
I'm on a Mac.
Have you tried using system.file instead of hardcoded relative paths?
EC1 <- dot2HPD(file = system.file("inst", "extdata", "E_coli", "ecoli.dot", package = "your_package+name"))
node.inst <- system.file("inst", "extdata", "E_coli", "NodeInst.csv", package = "your_package_name")