I am trying to use the load() function to load an .RData file into my current R session. I open my code base by double clicking on the R project file in my directory and then attempt to load the .RData file by running load('./Data/mydata.rdata'). However, this returns a 'No such file or directory' error. I verified that the working directory is correct by using getwd().
I figure I must be using incorrect syntax because I have no issues loading the file when I type in the full file path.
Working directory for R Project file: "/Users/Me/Library/OneDrive/RStuff"
Directory containing .RData file: "/Users/Me/Library/OneDrive/RStuff/Data"
Code that works: load("/Users/Me/Library/OneDrive/RStuff/Data/mydata.rdata")
Code that fails: load('./Data/mydata.rdata')
Do relative paths not work with load() or is my syntax wrong?
Do relative paths not work with load() or is my syntax wrong?
It looks like there is an error with your paths. You said the working directory is "/Users/Me/Library/OneDrive/RStuff"
But according to the code that works:
load("/Users/Me/Library/OneDrive/RStuff/Data/mydata.rdata")
...the data file is in "/Users/Me/Library/OneDrive/RStuff/Data"
Therefore to use relative paths, you would use:
load("./Data/mydata.rdata")
Related
Hoping for some help - I have been banging my head for a few hours and I can't find a solution. I am trying to optimise a workflow which involves sourcing a script from a Quarto file (I imagine this would be the same for an R markdown file). If I run the actual script using here() to load csv files, it works perfectly and sets the root directory as:
here() starts at /Users/Jobs/2023/project_x
Which is where the R project file is located.
But if I source that same script from within a Quarto file it sets the root directory to one up from the folder containing the .qmd file, and prevents the csv files from being able to be read:
here() starts at /Users/Jobs/2023/project_x/Analysis/code
The .qmd file is located at:
here() starts at /Users/Jobs/2023/project_x/Analysis/code/rmd
Is this expected behaviour and can I get around it?
Using:
here::set_here("/Users/Jobs/2023/project_x")
in a .qmd code chunk seems to work and keep all paths using here() intact in the source script, but I don't think it's ideal as I still need to specify an absolute path in the first instance.
Open to other suggestions...
I'm working on a project involving several people. We are using GitHub and a Rproject to be able to work on this project on different computers.
But I'm facing a really weird issue when I try to load files and/or get my working directory:
When I type getwd() in R console, I indeed get the path where the project is saved on my computer
> getwd()
[1] "/media/Data/Documents/my_R_project"
When I save getwd() in an object, the WD is not the same and now moves to the path were the script are saved:
folderpath <- getwd()
> folderpath
[1] "/media/Data/Documents/my_R_project/R/Script"
I get the same issue when I try to load a file which is located in /media/Data/Documents/my_R_project/R/Data: when I use read_csv (or any other function like it) and write the file path as
read_csv("R/Data/file.csv") I get and error stating me that there is no such file in the directory /media/Data/Documents/my_R_project/R/Script/R/Data/.
How could I resolve this and make the WD used in read_csv() be the right one ("/media/Data/Documents/my_R_project") so that I don't have to specify the full path every time and that people on another computer can run my script?
I'm working on Ubuntu LTS 20.04
In the end, the error was due to a conflict between the WD of the project and the WD used when I knitted the .Rmd file. The problem was solved by changing the knit options and set its directory as the project directory.
mission on online course:
Download this RData file to your working directory. Then load the data into R with the following command:
load("skew.RData")
so I have downloaded it to my computer but where is my working directory? or how do I load the downloaded file to Rstudio
You can see your working directory by executing getwd().
In order to load the data you need to change it to the folder path where the data is stored.
setwd("C:/your/path")
load("skew.RData")
You can set you working directory in RStudio on the right side manually and then save the files there and open them like :
load("skew.RData")
If your file is saved somewhere else, you should define the path to it:
load("path/to/your/file/skew.RData")
I have two projects in R. I've moved an .Rmd document from project 1 to project 2.
When I used the .Rmd file which I had moved to project 2 to try and read in some data I get the following error message:
cannot open file '"mydata.csv"': No such file or directoryError in file(file, "rt") : cannot open the connection.
This kind of error usually suggests to me it's a working directory issue, however when I run getwd() in the command line it's the correct working directory that is listed and points to where the csv is stored. I've also run getwd() within the rmd doc and again the wd is correct.
Does anyone else have this experience of moving one .Rmd file to another project and then it not working in the new project?
The code in the .Rmd file that I am trying to run is:
Data <- read.csv("mydata.csv", stringsAsFactors = T) and the data is definitely within the project and has the correct title, is a csv etc.
Has anyone else seen this issue when moving an RMarkdown document into another project before?
Thanks
This may not be the answer, but rmarkdown and knitr intentionally don't respect setwd(): the code in each block is run from the directory holding the .rmd file. So, if you've moved your .rmd file but are then using setwd() to change to the directory holding the data, that does not persist across code chunks.
If this is the issue, then one solution is to use the knitr options to set the root.dir to the data location:
opts_knit$set(root.dir = '/path/to/the/data')
See here.
Maybe not relevant but it seems to be the most likely explanation for what's happening here:
The project shouldn't really interfere with your code here. When opening the project it will set your working directory to the root location of the project. However, this shouldn't matter in this case since RMarkdown files automatically set the working directory to the location where the RMarkdown file is saved. You can see this when running getwd() once in the Console and once from the RMarkdown file via run current chunk.
The behavior is the same when the file is knitted. So except in the case when "mydata.csv" is in the same directory as the RMarkdown file, the code above won't work.
There are two workarounds: you can use relative or absolute paths to navigate to your data file. In a project I prefer relative paths. Let's say the rmd file is in a folder called "scripts" and your data file is in a folder called "data" and both are in the same project folder. Then this should work:
Data <- read.csv("../data/mydata.csv", stringsAsFactors = TRUE)
The other option, which I do not recommend, is to set the working diretory in the rmd file via:
opts_knit$set(root.dir = '../data/')
The reason why I wouldn't do that is because the working direcotry is only changed when knitting the document but using the rmd file interactivly, you have a different working directory (the location of the rmd file)
This is a great application of the here package for dealing with these types of issues.
here https://github.com/jennybc/here_here looks around the Rmd file (and all R files) for the .Rproj file and then uses that as an "anchor" to search for other files using relative references. If for instance you had the following project structure:
-data
|--mydata.csv
-src
|-00-import.R
|-01-make-graphs.R
|-02-do-analysis.R
-report
|--report.Rmd
-yourproject.Rproj
And you wanted to use mydata.csv in your report.Rmd you could do the following:
library(here)
dat <- read.csv(here("data", "mydata.csv"))
here will then convert this path to "~/Users/../data/mydata.csv" for you. Note that you have to be in the Rproject for this use case.
Here is such a great package and solves a lot of issues.
There is a CSV file called orders_data stored in my system, but when I try to load this file in Julia using readdlm command in Jupyter Notebook(running in my browser), it says "NO SUCH FILE DIRECTORY FOUND"
I'm not sure why does this happen? is there a specific location where the files need to be stored to be accessed using Julia command? is it that I need to install some packages first to load the file using browser version of jupyter?
//Error information
SystemError: opening file orders_data.csv: No such file or directory
Your working directory is set to your current location when you start a Julia session. You can see what it is by calling the pwd() function. You can change it by calling the cd() function. Unless you specify otherwise, or provide a more complete pathname, Julia looks for files in your current working directory (although it's different for modules).