I am writing a user-friendly function to import Access tables using R. I have found that most of the steps will have to be done outside of R, but I want to keep most of this within the script if possible. The first step is to download a Database driver from microsoft: https://www.microsoft.com/en-US/download/details.aspx?id=13255.
I am wondering if it is possible to download software from inside R, and what function/package I can use? I have looked into download.file but this seems to be for downloading information files rather than software.
Edit: I have tried
install_url(https://download.microsoft.com/download/2/4/3/24375141-E08D-
4803-AB0E-10F2E3A07AAA/AccessDatabaseEngine_X64.exe)
But I get an error:
Downloading package from url: https://download.microsoft.com/download/2/4/3/24375141-E08D-4803-AB0E-10F2E3A07AAA/AccessDatabaseEngine_X64.exe
Installation failed: Don't know how to decompress files with extension exe
Related
Currently trying to connect to a OneDrive file that contains a spreadsheet. Trying to pull some IDs from the file. What packages might achieve this?
Can the DBI package connect to OneDrive?
AS suggested by #chthonicdaemon you could install OneDrive locally, sync the file and use it exactly as a local file.
But there are other options - the most obvious being:
https://cran.r-project.org/web/packages/Microsoft365R/vignettes/od_sp.html
I have developed a R package with many functions that use external files as a parameter. I am documenting the package with examples and when I run the devtools::check() command I get an error because the execution of the examples fail. I think this is caused because I have not stored the external files where it's needed and fail trying to find these files.
I need to know how can I do to document these functions with examples and where do I have to store the external files the functions will use in examples.
I'm experimenting with GitHub and I created a little package for my colleagues to use. They install it with the devtools package and install_github() function directly in R. I also have some example data and a R-Markdown file that shows the usage of all functions in the package and can be published via GitHub Pages.
I would like to know what would be the best practice to enable others to use this example data to learn the package.
I can think of two different options:
Host the data in a separate directory which is not part of the installation and tell people to download it manually or use something like the download.file() function from R at the beginning of the example script to download all data that could be packed into a .zip.
Make the data part of the package installation, however this would require the data to be fairly small which is difficult in my particular case (data is 10MB).
Ideally the examples in the R-documentation (.Rd files in the man folder) could also use the same examples as in the markdown file. also in this case, option (2) seems to be favorable.
Could anybody give me some advice what would be the best way to go, sort of the "industry standard" if there is any.
I have an iPad Pro as my primary computer, and am running R Studio from a cloud server for a class. I am trying to figure out how to import data sets, since my local working directory is on the server. I have been trying to download the package repmis, since I have been reading that that package allows for data set import from Dropbox. However, when I try to download the package, I get "Error:configuration failed for openssl" and a similar one for curl. I tried to install openssl but instead it says I need to install "deb" for ubuntu operating systems, but I can't find that in R Studio in the package database. (And I can't install curl without openssl either) Any suggestions?
If it's a relatively straightforward data set like a CSV, XML, JSON or even an .RData file you can use a Dropbox sharing URL to read it. Here's an example (it's a live URL) for reading in a CSV directly from a shared Dropbox link:
read.csv("https://www.dropbox.com/s/7xg5u0z1gtjcuol/mtcars.csv?dl=1")
The dl=1 won't be the default from a "share this link" copy (it'll probably be dl=0.
urla<- 'https://www.dropbox.com/s/fakecode/xyz.txt?raw=1'
bpdata<-read.table(urla, header=TRUE)
scode<-'https://www.dropbox.com/s/lp6fleehcsb3wi9/protoBP.R?raw=1'
source(scode)
readAndPlotZoomForYear(urla, 2019)
Basically I wanted to source code from a file in Dropbox and to use the read.table() function on a tab delineated data file. I found this could be done by replacing the string after the question mark with raw=1 in the Dropbox file links.
I am facing difficulty in integrating R with Tableau.
Initially when I created calculated field it was asking for Rserve package in R and was not alowing to drag field to worksheet. I have installed this package but still it shows error saying
"Error occurred while communicating with the Resrve service.Tableau i unable to connect to the service.Verify that server is running and that you have access privileges"
Any inputs. Thank you
You need to start Rserve. If you successfully install Rserve package, simply run this (on RGui, RStudio or wherever you run R scripts)
> library(Rserve)
> Rserve()
You can test your connection to RServe on Tableau, on Help, Settings and Performance, Manage R Connection.
As of Tableau 9, you can use *.rdata files with Tableau. Tableau 9 will read the first item stored in the *.rdata file. Just open an *.rdata file under "Statistical Files" in the Tableau intro screen.
To do this do:
save(myDataframe, "Myfile.rdata")
This will save the file with the dataframe stored in it. You can save as many items as you want, but Tableau will only read the first. It can read vectors and variables as well if they are in the first item. Note that rdata files compress data quite a bit. I recently compressed 900mb to 25mb. However Tableau will still need to decompress it to use it so be careful about memory.