I need to convert a shapefile (.shp) formate into .RData format. I used the following codes but when I load the RData format file I get error
Code:
# to save .RData format which runs smoothly without error
save(trainData, file = "trainData1.RData")
# to laod the .RData file
load(trainData.RData)
Error Message:
Error in load(trainData.RData) : object 'trainData.RData' not found
Please point out where I'm making mistake!
I kept serching found out that that double inverted commas are needed when loading the .RData
Missing 1 from load(trainData1) was just a paste error that I did while posting.
well this worked,
save(trainData, file = "trainData1")
load("trainData1")
Related
Attempting to load data from an Excel spreadsheet in R using openxlsx, I get the following error/warning,
WARNING: simpleWarning in unzip(file, exdir = xmlDir): error 1 in extracting from zip file. This is not a zipped file.
Why am I getting this error?
This error is not related to zip-issues. Instead, this is probably a file-lock error. Check to be certain that the workbook in question is not currently open. If so, close it and try again.
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)
I need the data of the .rdata file for text mining. These are my dataset. I don't know exactly what's in that file. The problem is i can't load it.
I tried to open the file with different windows computers but with the same errors. I used RStudio in the updated version. I google the error-Information but nothing worked. Because I can open other rdata files there should be no registry problem. I wanted to check in an other basic windows Editor to look what is in the file but there were only signs like: ‹ ìùuPo³6
’#p ÜÝ‚»»»[pw—…»»»»»†àînÁuA°E`!‡ßûîýí}æÌLMÕÌùæŸÝõTñÈ}÷ÝrõÕ½
¢hXˆ
I tried different possibilities to open the file in RStudio with different error informations as followed:
with load()
require("readr")
setwd("C:/Users/..")
options(stringsAsFactors = F)
load("file")
# Error in load("file") :
# bad restore file magic number (file may be corrupted) -- no data loaded
# In addition: Warning message:
# file ‘.rdata’ has magic number ''
# Use of save versions prior to 2 is deprecated
with source()
require("readr")
setwd("C:/Users/..")
options(stringsAsFactors = F)
source("file")
# Error in source("file") :
# file.rdata:1:1: unexpected input
# 1:
# ^
readRDS
setwd("C:/Users/..")
options(stringsAsFactors = F)
readRDS("file")
# Error in readRDS("file") : unknown input format
I am trying to load the state map from the maps package into an R object. I am hoping it is a SpatialPolygonsDataFrame or something I can turn into one after I have inspected it. However I am failing at the first step – getting it into an R object. I do not know the file type.
I first tried to assign the map() output to an R object directly:
st_m <- maps::map(database = "state")
draws the map, but str(st_m) appears to do nothing, unless it is redrawing the same map.
Then I tried loading it as a dataset: st_m <- data("stateMapEnv", package="maps") but this just returns a string:
> str(stateMapEnv)
chr "R_MAP_DATA_DIR"
I opened the maps directory win-library/3.4/maps/mapdata/ and found what I think is the map file, “state.L”.
I tried reading it with scan and got an error message I do not understand:
scan(file = "D:/Documents/R/win-library/3.4/maps/mapdata/state.L")
Error in scan(file = "D:/Documents/R/win-library/3.4/maps/mapdata/state.L") :
scan() expected 'a real', got '#'
I then opened the file with Notepad++. It appears to be a binary or compressed file.
So I thought it might be an R data file with an unusual extension. But my attempt to load it returned a “bad magic number” error:
st_m <- load("D:/Documents/R/win-library/3.4/maps/mapdata/state.L")
Error in load("D:/Documents/R/win-library/3.4/maps/mapdata/state.L") :
bad restore file magic number (file may be corrupted) -- no data loaded
Observing that these responses have progressed from the unhelpful through the incomprehensible to the occult, I thought it best to seek assistance from the wizards of stackoverflow.
This should be able to export the 'state' or any other maps dataset for you:
library(ggplot2)
state_dataset <- map_data("state")
I am trying to load a .RData file into my R Notebook in DSX. I have followed the instructions in this notebook (https://apsportal.ibm.com/exchange/public/entry/view/90a34943032a7fde0ced0530d976ca82) but am still unable to load my data. So far, I have been successful in the following steps:
I have loaded my dataset into object storage.
I inserted my credentials using the Insert to code -> Insert Credentials button. This seemed to work as expected.
In the next cell, I chose the Insert to code -> Insert textConnection object option. This seemed to work as expected also.
The output of step # 3 was as follows:
Your data file was loaded into a textConnection object and you can process the data with your package of choice.
data.1 <- getObjectStorageFileWithCredentials_xxxxxxxxxx("projectname", "file.RData")
After this, since my file is a .RData file, I typed the following command:
data <- load("file.RDA")
When I ran this cell, I got the following output:
Warning message in readChar(con, 5L, useBytes = TRUE):
“cannot open compressed file 'file.RDA', probable reason 'No such file or directory'”
Error in readChar(con, 5L, useBytes = TRUE): cannot open the connection
Traceback:
load("file.RDA")
readChar(con, 5L, useBytes = TRUE)
When I type in the following command to print the dataset:
data
I get the following output:
X.html..h1.Forbidden..h1..p.Access.was.denied.to.this.resource...p...html.
Please can someone help?
Thanks,
Venky
Here is a workaround given that load can't read from a response object since to read objects from Object storage, only way is the REST api.
I tried to use rawConnection instead of textConnection but it seems to be not helping.
So instead of passing the read object from OS directly to load or readRDS function.You can write it to GPFS of spark service attached and read it from there same as reading from local.
Change this lines from generated code:-
rawdata <- content(httr::GET(url = access_url, add_headers ("Content-Type" = "application/json", "X-Auth-Token" = x_subject_token)), as="raw")
rawdata
Basically instead of returning text , return raw object and then write that as binary object to local GPFS.
data.3 <- getObjectStorageFileWithCredentials_216c032f3f574763ae975c6a83a0d523("testObjectStorage", "sample.rdata")
writeBin(data.3,"sample.rdata")
Now read it back using readRDS or load.
load("sample.rdata")
To see loaded dataframe.
ls()
I hope it helps.
Thanks,
Charles.