I am trying to read a .xls-file into a R dataframe. I've tried:
library(readxl)
dfTest <- readxl::read_excel("file_path/file.xls")
Which gives me:
Error:
filepath: file_path/file.xls
libxls error: Unable to open file
Next I tried:
library(xlsx)
dfTest <- xlsx::read.xlsx("file_path/file.xls",1)
Which results in:
Error in .jcall("RJavaTools", "Ljava/lang/Object;", "invokeMethod", cl, :
java.io.IOException: block[ 1462 ] already removed - does your POIFS have circular or duplicate block references?
I tried:
library(openxlsx)
dfTest <- openxlsx::read.xlsx("file_path/file.xls")
Which results in:
Error in read.xlsx.default("file_path/file.xls") :
openxlsx can not read .xls or .xlm files!
Last thing that I tried was:
library(RODBC)
conn <- odbcConnectExcel("file_path/file.xls")
Which gives me:
Error in odbcConnectExcel("file_path/file.xls") :
odbcConnectExcel is only usable with 32-bit Windows
Would anyone have an idea how I can read the Excel file? Saving the file as .csv-file and loading it into R works perfectly fine. However, I have a large amount of files that I ultimately want to read and process in a loop. Saving all by hand as .csv is teadious to say the least.
I'm restricted in changing the software installations on the computer I'm working on.
I believe for .xls files read_delim from the readr package should work.
For example:
readr::read_delim("file_path/file.xls",as.is=TRUE)
Related
I wanted to read in a .dta file in R in order to convert it to a .csv file. First, I tried to do so by using the foreign package, but it reported:
Error in read.dta(file): not a Stata version 5-12 .dta file
So I tried to do it by using teh haven package, but that also failed and reported:
Error in df_parse_dta_file(spec, encoding, cols_skip, n_max, skip, name_repair = .name_repair) : Failed to parse C:/Users/folder/data.dta: This version of the file format is not supported
I also tried to convert it with the rio package:
install.packages("rio")
library(rio)
install_formats()
convert("file.dta","file.csv")
but it reported:
Error in arg_reconcile(haven::read_dta, file = file, ..., .docall = TRUE, :
Failed to parse C:/Users/folder/data.dta: This version of the file format is not supported.
This error was generated by: haven::read_dta
With the following arguments:
"._costs.dta"
Does anyone know how to import such .dta files in R so that one can convert a .csv file ?
PS: The preamble of the .dta-file looks like this:
<stata_dta>118LSFM 23 Apr 2019 16:22
Try adding encoding = "UTF-8" or encoding = "Latin1" inside the read_dta() function to tell R import same data without encoding into numbers. It might take a little while to clean data tho :(
I am trying to load my R file but it keeps reading as errors and
Error in source("C:/Users/masters/OneDrive/Desktop/GCU/Business Analyst/Business Analyst/MIS-650/Beginning.csv") :
C:/Users/masters/OneDrive/Desktop/GCU/Business Analyst/Business Analyst/MIS-650/Beginning.csv:1:3: unexpected input
1: PK
loading through the Rstudio file open file method.
I am using the [Default] [64-bit] C:\Program Files\R\R-3.6.2 version, please help.
Try using read.csv
Something like this:
df <- read.csv('C:/Users/masters/OneDrive/Desktop/GCU/Business Analyst/Business Analyst/MIS-650/Beginning.csv')
when i loading csv file for R, i can see the error
but i don't know why this happening
i wrote following code:
setwd("C:\\Users\\규남\\Desktop\\twitter")
library(KoNLP)
useSejongDic()
txt <- readLines(file("test.csv"))
and, this error appear
txt <- readLines(file("test.csv"))
Error in readLines(file("test.csv")) : cannot open the connection
In addition: Warning message:
In readLines(file("test.csv")) :
cannot open file 'test.csv': No such file or directory
why this happening?
file directory is not wrong, and that file in the folder
[enter image description here][1]
please see this
i restart Rstudio, even notebook power
but error appear again
how to i load that csv file?
and why this happening?
here is result useing getwd() function
[1] "C:/Users/규남/Desktop/twitter"
Warning message:
closing unused connection 3 (test.csv)
[1]: http://i.stack.imgur.com/xkFkt.png
When working through these problems I like to use the file.path() function. Look at the documentation, but it makes certain that the separator characters that are used in the string are what R is expecting.
Try:
path <- file.path("C:", "Users", "규남", "Desktop", "twitter")
setwd(path)
library(KoNLP)
useSejongDic()
txt <- readLines(file("test.csv"))
I have written a dataframe into hdfs using the rhdfs library and when I try to read it back in I have errors.
The code to write the dataframe is as follows,
df.file <- hdfs.file("/mydir/df.Rdata", "w")
hdfs.write(df, df.file)
hdfs.close(df.file)
And to read it back in I use
df.file <- hdfs.file("/mydir/df.Rdata", "r")
m <- hdfs.read(df.file)
df <- unserialize(m)
hdfs.close(df.file)
But I get an error at the unserialize stage,
Error in unserialize(m) : read error
Does anyone have any idea what the cause of this error is and what I can do to prevent it. Any help would be much appreciated.
This happens when the object you unserialize is bigger than 65536 bytes
If you look at the RStudio Environment, you will see that df object is raw[1:65536] and you missed a part of the file
you should read it by pieces like this code:
http://chingchuan-chen.github.io/posts/2015/04/08/installations-of-rhdfs-rmr2-plyrmr-and-hbase
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.