I was wondering if its possible to somehow given a dropbox folder link, download all files in that folder in to R?
If not is is possible, how would one be able to upload files onto Shiny Server so maybe I could source them locally?
Thanks,
Related
Im tring to create a shiny app that read and online onedrive xlsx file and show some things, but for the moment Im unable to read the onedrive xlsx file, I already explore the Microsoft365R and I can conect to my onedrive and I even can open the fil but... what it does is from r open a tab in chrome with the excel file.
I need the file in the local enviroment of r.. this its beacause the shiny app must be deploy in a web server, that every time the app runs it reads the update the file.
library(Microsfot365R)
odb <- get_business_onedrive()
odb$open_file("lcursos.xlsx")
Also this its a business account, so I also have to put the username and key to acces each file, that its beacause use the simple url doesnt work, it says Error 403 FORBIDEEN.
Any ideas?
Thank you so much!
Use the download_file() method to download the file to your local machine:
odb$download_file("lcursos.xlsx")
You can set the location of the download with the dest argument. Once it's downloaded, open it with the xls reader package of your choice. I suggest either openxlsx or readxl.
Note that if your file is password protected, your options are limited. See this question for possible solutions.
I am hoping to include a widget in my R shiny app where the user can select a folder destination for output files to be saved in. I've tried using the shinyDirChoose and shinyDirButton, and they work, but moving through the file directory is very slow. I'd like to have the speed of fileInput and the ability to select a folder, rather than a file, as the file input (even though it would really be used for output). Is there a MIME type for folders in Windows Explorer that I could specify in fileInput? Or is there a way to speed up shinyDirChoose?
I am working on a RStudio shiny app that reads in a geojson file then creates a map using leaflet.
I take my geojson file, and put it in my /data folder prior to publishing.
Overall, everything works great. I am consistently changing some polygons in my geojson file, so I overwrite the old file and load the new all within the shiny app using an actionButton.
Things work great on my local machine but when I publish the app and use it on the web, my map file doesn't overwrite.
Is there a permissions issue within RStudio shiny?
I have also looked into using Google drive or dropbox to load then rewrite the file and have not had any luck.
I'm currently doing a project that uses R to process some large csv files that are saved in my local directory linked to my repo.
So far, I managed to create the R project and commit and push R scripts into the repo with no problem.
However, the scripts read in the data from the csv files saved in my local directory, so the code goes in a form
df <- read.csv("mylocaldirectorylink")
However, this is not helpful if my partner and I working on the same project have to change that url to our own local directory every time we pull it off the repo. So I was thinking that maybe we can upload the csv files onto GitHub Repo and let the R script refer directly to the csv files online.
So my questions are:
Why can't I upload csv files onto GitHub? They keep saying that my file is too large.
If I can upload the csv files, how to I read the data from these csv files?
Firstly, it's generally a bad idea to store data on Github, especially if it's large. If you want to save it somewhere on the Internet, you can use, say, Dataverse, and then can access your data with URL (through the API), or Google Drive, as Jake Kaupp suggested.
Now back to your question. If your data doesn't change, I would just use not the absolute paths to CSV but relative ones. In other words, instead of
df<-read.csv("C:/folder/subfolder/data.csv")
I would use
df <- read.csv("../data.csv")
If you are working with R project, then the initial working directory is inside the folder of the project. You can check it with getwd(). This working directory changes as you move the R project. Just agree with your colleague that your data file should be in the same folder where the folder with R project is situated.
This is for a Python script.
You can track csv files by editing your .gitignore file.
**OR**
You can add csv files in your github repo, which can be used by others.
I did so by following steps:
Checkout the branch on github.com
Go to the folder where you want to keep csv files.
Here, you will see an option "Add file" in top right area as shown below:
Here you can upload csv files and commit the changes in same branch or by creating a new branch.
I'm working on loading up a Shiny App IO. I use an R package that downloads data into a subfolder in my directory and saves two .RData files.
I'm having issues on the Shiny App IO server. I need to load the two .RData files. Locally, I can set the relative path using (~project/source-data). Shiny App does not respond to this.
I can set it as a working directory using a relative path, (./source-data), however, this is not ideal as I have further data manipulation to do at the parent level directory and I can't seem to set the working directory back to the parent level in Shiny App.
Here is what I had moved forward with:
wd = getwd()
sd = (paste(getwd(),"/source-data",sep=""))
sd2 = list.files(sd, full.names = TRUE)
file.copy(from=sd2, to=wd)
My solution, although not ideal, is to copy the two .RData files to the parent directory. At that point, the rest of my code will run smoothly. It works locally, but not on Shiny App.
Does anyone have experience with a similar problem and solution? Either helping me direct the Shiny App IO server to the sub-directory and back to the parent directory once I load in the two .RData files, or copying the files to the parent directory?
I've seen solutions that work on a local R environment, but not one that satisfies the conditions of a Shiny App IO server environment.
Thank you in advance.