I would like to create a messagebox using R. A short research suggested the tcltk package. The tcltk::tk_messageBox() command actually worked the first time I tried it.
However, I then I updated to Windows 10, switched to R 3.4.3, using RStudio v1.1.423. Now the same command does not work, actually terminating the R Session. A second research showed that this is indeed an issue other users have experienced as well.
So, here is my question: Is there either a way to resolve the compatibility issue of the tcltk library and R/RStudio? Alternatively, is there another package that could produce the same result? (I would like to avoid going as far as shiny, that has been suggested)
With Windows 7, R 3.4.3 and RStudio 1.1.423 I have a similar problem, it looks like RStudio hangs, but in fact, the message-box has popped up, just that it does not become the active window and I have to minimize RStudio to see it.
The command I am running is:
tcltk::tk_messageBox(caption = "Hi", message = "what?", icon = "info", type = "yesno")
Related
I'd need to be able to grab data straight from into R without going through using its GUI. I've found that the RSAP package seems to be exactly what I'm looking for.
I followed the steps recommended by Piers and Alvaro Tejada Galindo (made it work on windows environment) and here is where I'm stuck:
managed to compile the RSAP package
managed to install it
everything is looking in good shape when I run library(RSAP)
whatever i try in the RSAPConnect command, my R session crashes without any log or tools to be able to debug.
Of course I've tried a few combinations of arguments in this command, but in every single case it still crashed without me knowing why. It does not matter whether i enter a valid ashost or just aaa for instance, still crashes...
Here is the code I was thinking would work (of course I added stars in there):
conn <- RSAPConnect(ashost = "*****.****.com", sysnr = "00", client = "410",
user = "*****", passwd = "*********", TRACE = "3")
Has anyone experienced something similar ? I don't even know in which direction to look to try and make this work. In fact I'd have expected some error message like "server could not be reach" for instance should the ashost not be right, but none of that happens.
I'd appreciate any assistance on this.
Thanks ahead for your support.
Kind regards
After some talking with Piers Harding, it appears that the segfault happens because of some code changes between previous version and version 3.x, which I use.
M. Alvaro Tejada Galindo also tried to use RSAP on a windows machine like me, but if you read his post, you'll see that he was using R 2.15.0 at the time.
Unfortunately I do not have the skills to locate these changes and make the required adjustments within the RSAP code.
Piers did confirm though that RSAP is still working great using R latest build for linux.
Lastly, for those like me who struggled to find the NW RFC library, you can find it on GitHub.
If this can help anyone...
Well I thought I'd add this as another answer.
It is possible to code some vba embedded in an excel file to go fetch stuff into SAP. The interesting part is that I just ran into some code to run a specific vba macro from a specific excel file, all from R :
# Open a specific workbook in Excel:
xlApp <- COMCreate("Excel.Application")
xlWbk <- xlApp$Workbooks()$Open("C:\\Excel_file.xlsm")
# Run the macro called "MyMacro"
vxlApp$Run("MyMacro")
# Close the workbook (and save it) and quit the app:
xlWbk$Close(TRUE)
vxlApp$Quit()
# Release resources:
rm(xlWbk, xlApp)
So in the end, if your macro is set up to grab and store the SAP data, all you have to do next is just read this file using XLConnect or any other package as you'd normally do, and you're all set !
Whenever I plot any plot in RStudio, I get a new device window that pops up. This was not always the case. I must have changed some settings. How do I change the settings back to have plots go to the RStudio plot window?
I have explored the dev.off() and other dev functions without success. For example:
# Clear workspace
rm(list=ls())
# create data
set.seed(1)
x <- rnorm(100, 0, 1)
y <- rnorm(100, 3, 1)
plot(x,y)
produces the popped up window in the screenshotted image:
I want the device to stay in the RStudio plot window in the lower righthand corner. Does anyone have any help? I saw a similar question here that claims that an update will fix the issue. I updated within the last week. When I use sessionInfo() I am running R version 3.3.2, what I believe to be the latest version of R.
I know that this has been answered but the problem can arise in multiple ways. My issue had been much simpler. The plots were not showing up in the Rstudio plot pane simply because the default null GD was turned off via dev.off(). I'm running Rstudio Version 1.1.442 with R Version R-3.4.4
I ran dev.off() a few times until all windows including hidden ones were closed and I received the following response in the console window.
null device
1
I then ran this and the plot appeared in the RStudio plot pane
dev.new()
plot(mtcars$mpg~mtcars$disp)
For others who like me may still encounter this issue:
This is probably caused by an R update to 3.3.2 and is fixed by installing a newer version of RStudio. In my case 1.0.136 did the trick.
I solved this problem by updating RStudio (Help--> check for updates). The new version of RStudio I updated to is Version 1.1.383 and this problem was fixed. Currently I have version 3.4.3 for R.
Go to R studio menu bar and Tools->Global options->R Mark down
In that phase select "window" from that list in the "show output preview in:" then apply
This is an issue I am encountering for different pieces of codes I am writing in R.
Basically, I would like to generate a window that displays a picture (a .png file). Following for instance guidances from this or this, I come up with this kind of code:
library(tcltk)
tmpFile <- tempfile(fileext = ".png")
download.file("https://www.r-project.org/logo/Rlogo.png", tmpFile)
tcl("image","create","photo", "imageLogo", file=tmpFile)
win1 <- tktoplevel()
tkpack(ttklabel(win1, image="imageLogo", compound="image"))
This works fine under Mac OS, but not on Linux nor on Windows, where I am displayed such an error message:
[tcl] couldn't recognize data in image file
I can find some workarounds when I want to display graphs, using for instance packages tkrplot or igraph. Nonetheless, I would be really eager to understand why I got such errors when running my scripts on Linux or Windows, whereas it works just fine on Mac OS.
Apologies in case this issue is obvious, but I haven't found anything about potential differences with the tcltk package depending on the OS.
Tk's native support for PNG was added in 8.6. Prior to that, you need to have the tkimg extension loaded into Tk to add the image format handler required. If your installation of Tcl/Tk that R is using is set up right, you can probably make it work with:
tclRequire("Img")
once you've initialised things sufficiently. Yes, the name used internally is “Img” for historical reasons, but that's just impossible to search for! (This is the key thing in this mailing list message from way back.)
However, upgrading the versions of Tcl and Tk to 8.6 is likely to be a better move.
Finally and a bit lately, I would like to close this issue and sum up the different suggestions that were kindly made in response of my question:
R comes along with Tcl 8.5, even with the latest version 3.3.2, which means that there is no way for embedding a PNG file with the usual command into a window created thanks to Tcl/Tk. For some reasons it is working on Mac OS, but do not expect this to work easily on other OSs.
In order to display pictures, graphs, etc. in a window generated by Tcl/Tk in R, better look for either using the GIF support (when possible) or trying alternative solutions (see the question for possible alternative options).
In case one really wants to display PNG files, the solution consists of installing Tcl 8.5 (for instance ActiveTcl) along with the extension Img. In order to use the Tcl/Tk package that you've just installed on your computer, you can refer to the R FAQ for Windows for instance (as stated in the FAQ, you need to install Tcl 8.5 - I tried with Tcl 8.6, thereby hoping to solve my issue, but it didn't work). Basically, you need to set up an environment variable (MY_TCLTK) and put the path where the package Tcl/Tk is installed. Needless to be said, Tcl/Tk is commonly used in R in order to implement GUIs; if you have to go through very complex procedures to set up the system, the package definitely loses its advantages.
Finally, since Tcl 8.6 should be available soon or later with R (already implemented in the devel version), this issue will be de facto outdated.
When I run my code all my graphs (both ggplot2 and plot) are displayed in an external "Quartz 2 [*]" graphical viewer.
I would like them to be displayed in the R studio GUI plot area to I can better save and view my files, along with the previous versions.
Is there anyway to stop this?
I recently updated my version of R, along with the X11 and xQuartz on my mac (also up to date), and I am guessing these updates are behind it.
I have seen many forums explaining how to get rstudio to export to an external viewer (e.g. "quartz()"), but not the other way.
I have looked, but these threads have not helped:
ggplot plots in scripts do not display in Rstudio
plot panel does not produce plots Rstudio
dev.off() even when hidden hide <- dev.off() is not working either.
Any help would be great,
Thanks.
If you upgrade R without upgrading RStudio, the graphics engine may not be compatible. To fix the "Quartz 2" popout, upgrade RStudio to a newer version that supports the graphics engine in the version of R you have installed.
I had the same problem, and noticed the following output to the console:
Warning message:
R graphics engine version 15 is not supported by this version of RStudio. The Plots tab will be disabled until a newer version of RStudio is installed.
Looks like I forgot to reinstall Rstudio as well.. That sorted my problem.
I'm trying to call a simple python script from within R using system2(). I've read some information I found vague that said if 'too much' memory is used, it won't work.
If I load a large dataset and use some information in it to use as arguments to pass into system2(), it will only work if I manually click "Restart R" in call Rstudio.
What I want:
df <- read.csv('some_large_file.csv')
###extracting some info called 'args_vec'
for(arg in args_vec){
system2('python', args)
}
This won't work as is. The for loop is simply passed over.
What I need:
df <- read.csv('some_large_file.csv')
###extracting some info called 'args_vec'
###something that 'restarts' R
for(arg in args_vec){
system2('python', args)
}
This answer doesn't quite get what I want. Namely, it doesn't work for me within Rstudio and it calls "system" (which presents the same problem as "system2" in this case). In fact, when I put the answer referenced above in my Rprofile.site file, it just immediately closed rstudio:
I tried the suggestion as a normal function (rather than using "makeActiveBinding", and it didn't quite work.
##restart R in r session -- doesn't work
makeActiveBinding("refresh", function() { system("R --save"); q("no") }, .GlobalEnv)
##nor did this:
refresh <- function() { system("R --save"); q("no") }
I tried a number of variations of these two options above, but this is getting long for what feels like a simple question. There's a lot I don't yet understand about the startup process and "makeActiveBinding" is a bit mysterious. Can anyone point me in the right direction?
In Rstudio, you can restart the R session by:
command/ctrl + shift + F10
You can also use:
.rs.restartR()
RStudio has this undocumented rs.restartR() which is supposed to do just that: restarting R.
However, it does not unload the packages that were loaded, nor does it clean the environment, so that I have some doubts about if it restarts R at all.
If you use RStudio, use the menu item Session > Restart R or the associated keyboard shortcut Ctrl+Shift+F10 (Windows and Linux) or Command+Shift+F10 (Mac OS). Additional keyboard shortcuts make it easy to restart development where you left off, i.e. to say “re-run all the code up to HERE”:
In an R script, use Ctrl+Alt+B (Windows and Linux) or Command+Option+B (Mac OS)
In R markdown, use Ctrl+Alt+P (Windows and Linux) or Command+Option+P (Mac OS)
If you run R from the shell, use Ctrl+D or q() to quit, then restart R.
Have you tried embedding the function call within the apply function, rather than a for loop?
I've had some pieces of code that ran the system out of memory in a for loop run perfectly with apply. It might help?
For those not limited to a command that want something that actually resets the system (no prior state, no loaded packages, no variables, etc.) you can select Terminate R from the Session menu.
It is a bit awkward (asks you if you are sure). If anyone knows something like clear all or really clear classes in MATLAB let me know!