I'm new to R. I usually work my projects in a setting characterized by a directory in which I assign datasets, code and graphics specific folders. This is:
Main directory ~Project
Code ~Project\Code
Within my setup chunk I declare:
knitr::opts_knit$set(root.dir = "~Project")
knitr::opts_knit$get("root.dir")
However, in any following chunk where, for example I wish to load a dataset stored in 'Data' folder as:
read.csv("Data/series.csv",header=TRUE,check.names=FALSE)
I get a warning message on failure to find such directory.
Any advice? Thank you very much!
You need a ".." before that to tell R Studio first to go up a level (to the main directory):
read.csv("../Data/series.csv",header=TRUE,check.names=FALSE)
If you want to check what directory you're in, try running code like print(getwd()) in your chunk.
It's also not clear whether your error comes when you try to knit the document, or just when working on the Project; that does make a difference.
Related
So I am using RMarkdown and I am sourcing code from a script contained in a separate folder (Scripts) at the same level as the folder which contains the Markdown file (Report). Both directories are at the root of the R project.
I achieve that first by setting the working directly using the following code in the setup chunk:
knitr::opts_knit$set(root.dir = normalizePath(".."))
Then calling the following in a R chunk:
```{r datacreation, echo = FALSE}
source("./Scripts/20212022Summary.R")
```
All that is great but I also want to display later on in the knitted document, the whole code contained in that script so it can be reviewed if necessary.
To achieve this, I do :
```{r 20212022Summary_readlinesversion, code = readLines("../Scripts/20212022Summary.R"),echo=TRUE,include = knitr::is_html_output(),cache=FALSE,eval = FALSE}```
Which just shows the code without running it, with a nice formatting.
What I would like to know is how I would go about defining once and for all what is my working directory for consistency sake. Specifically when I call code = readLines("../Scripts/20212022Summary.R") I clearly operate with the knowledge it will consider the working directory to be the one containing the report instead of the one (parent directly aka project root directory) which I defined previously in the set up chunk.
Ideally I would define things once and for all, especially as then I could pick those up programmatically and source from anywhere within the project folder, consistently.
Anyone has tips on how to achieve this? What I have done works, it's just ugly, manual and not consistent. And it bugs me :)
I'm on RStudio, just wanting to read a csv file:
newdata <- read_csv("Nameofdata.csv",
col_names = TRUE)
But it keeps telling me that the file doesn't exist. It does exist. I'm staring DIRECTLY at it, underneath the file path that RStudio insists is wrong. I can open it in another tab, I can open in in excel, it's EXACTLY where RStudio says it's not existing. Please help.
Looking very closely at your screen shot, commenters are suggesting that you have an extra space at the beginning of your file name.
Also, I see that the working directory appears to be correct (the error message lists it as C:/users/mdavi/Desktop/School/Research/Sc, which appears to match what is listed in the Files pane
A couple of strategies for trouble-shooting file-locating problems:
use getwd() and list.files() to confirm your working directory and what files R can see from there (you can read this introduction to get more background on working directories):
use file.choose() to select a file interactively; it's generally a bad idea to use this in production code, as it will add an interactive step when you usually want to be able to run all of your code start to finish without needing manual steps, but it's quite useful for debugging.
If you wanted R to list files that approximately matched your specified filename, you could use
L <- list.files(pattern="*.csv")
agrep("myfile.csv", L, value=TRUE)
You need to set your working directly correctly, either via setwd("~/Desktop/School/Research/SC") in the R Console (that's what I think I see in your screenshot: ~ stands for your home directory, i.e "Users/Whoever") or via Session > Set Working Directory > To File Pane in the RStudio menus.
You can read a variety of Stack Overflow questions about setting the working directory for more complete context ... web searching on "R 'working directory'" might help too.
I have created a folder that has my dataset and set it as my working directory in Rstudio.
The dataset is an SPSS file which I named "Stats in R", I downloaded the packages foreign and Hmisc and tried to run to the following command to get the dataset:
data = read.csv("Stats in R.csv", header = TRUE)
…but the console showed the following message:
Error in file.choose() : file choice cancelled.
The problem is, my dataset is in the working directory but whenever I try to open it, R shows me an empty folder. I run the dir() command and instead of getting the directory content in the console, I get the following message:
character(0).
I really don't know what's the problem, the SPSS dataset is saved as a SAV file. I tried other extensions as well like CSV but nothing worked. Any suggestions, please? I really need to sort out that issue soon. Thank you!
It seems like you have some issue with your working directory - it's either not where you think it is, or you don't have full permissions and something is blocking the R Studio interface from accessing it.
Since you want to get this resolved quickly, the approach I would try is importing the file using the entire file path instead of the working directory, and then you can troubleshoot your WD when you have time.
This should work:
df <- read.csv("C://Users//Mina//Folder//Subfolder//Stats in R.csv", header = TRUE)
I have a fully functional interactive shiny doc using knitr/r markdwon.
However, when I try to publish (deploy) it to shinyApps.io, I get an error saying the .PNG file I try to incorporate into the doc (using readPNG from the png package) is unable to open.
I know the problem is related to working directories.
In my original code I assigned a working directory to my folder (i.e., "C:/Users/NAME/documents/...." that contains both my .rmd file and my .png file. However, obviously my folder doesn't exist on the shinyapps.io.
So how exactly do I set my working directory to open the .png file via my doc on shinyapps.io?
I can't find anywhere that explicitly walks through this process. Please help explain this simply/basically for me.
Example:
Assume I have a folder in "C:/Users/NAME/documents/Shiny" that contains 2 files: "shiny.rmd" and "pic.png". I want "pic.png" to be rendered in my shiny.rmd doc.
Currently I have:
---
title: "TroubleShoot"
output: html_document
runtime: shiny
---
```{r ,echo=FALSE,eval=TRUE}
library(png)
library(grid)
direct <- "C:/Users/NAME/documents/Shiny/"
img <- readPNG(paste0(direct,"pic.PNG"))
grid.raster(img)
```
How do I rewrite my code so it works on shinyApps.io?
Do I need to create and name folders in specific ways to place my 2 files into before deploying?
When you paste the c drive to direct, and read the direct into img, you are sending the app/markdown to your local drive. You need to use a relative path to the project. I would suggest something like:
direct <- "./"
Which uses the relative path, not the absolute path.
That said you might be able to skip that step entirely if the .png is in the same folder as the shiny object. just call the file name and format and leave it as that.
Also, check you use of ". Your syntax highlighting indicates your code won't run properly as it thinks some of your functions and variables are character strings because you've misplaced your quotes around read.png(). That's probably just a copy and paste typo though.
In summary, call the image via grid.raster("./pic.PNG"), and brush up on how working directories and relative paths work.
In the absence of knowing exactly how you're 'setting' your working directory:
In rStudio to correct and easiest approach is to make a 'New Project' for every New Project. You can do this as the first step in your project, or you can add a project file to an existing directory.
When you do this it automatically sets your working directory correctly. The way you seem to be doing it is not correct, you are merely supplying a 'path'. If you were to not want to use a project for some reason (I can't think of a case where that would be right), then you can always use setwd(), however, I believe this needs to be used in every session. A true project doesn't have that requirement.
This will then allow you to deploy your app properly as it will update the working directory to the one on the host machine at shinyapps.io when it is initialised there.
Finally, using the correct relative syntax "./path/to/my.file" to reference all your assets, images, data etc, should correct your issue as stated in the question.
I'm making a simple line in r to automatically open my generated plots.
I output the plots to a file called "plots.pdf" in the same directory as my r file, and at the end i use this two lines to try to open it:
dir <- paste("/Applications/Skim.app/Contents/MacOS/Skim ",getwd(),"/plots.pdf",sep="")
system(dir)
Basically, dir concatenates the full path of the skim app and the full path of the generated plot.
If i run the string stored at dir in a shell it works perfect, it opens the pdf file in Skim, but when i run it with system() from inside R it doesn't work (Skim says 'The document “plots.pdf” could not be opened.').
I believe this is a very little mistake somewhere in the syntax regarding the absolute/relative paths, but haven't managed to find it... Any advice is welcome! (Or a better way to achieve the same)
I found a way to bypass that problem, i just changed the path to Skim for the 'open' command and i let the system to assign the default app for pdf viewing. So:
dir <- paste("open ",getwd(),"/plots.pdf",sep="")
And it works.