This seems like more of a StackOverflow question than a CrossValidated question so let's see if I'm right...
I'm tinkering around with Revolution R Open (RRO) since I'd like to take advantage of the faster MKL math libraries.
I took some code that works just fine in regular R, tried it in RRO, and got the following error when I attempted to use the tbats() function from the forecast package.
> ts(data, seasonal.periods=c(7,365.25))
> fit<-tbats(myts)
Error in checkForRemoteErrors(val) :
3 nodes produced errors; first error: could not find function "fitSpecificBATS"
If I need to provide some reproducible code/data, I can. However, it appears to me to be more of an issue with the parallelization of the tbats function itself since using the ets function within the same package works just fine.
After a quick search, Error: could not find function “rxGetOption” in Revolution R Open looked promising but seems to be more about RRE vs RRO functions.
Any clue as to what is going on and what I might be able to do for a solution?
Related
Installed both R studio and ConsRank package but i have little R and Math knowledge.
I need to understand how to calculate and reach the result of the formula in attached files.
To solve this problem, correlation coefficient τx used which is intruduced by Emond and Mason (2002)
I tried to use ConsRank functions but my R knowledge was not enough.
FormulaFormula
MatrixMatrix
ResultResult
The first step is to install and load the package ConsRank using the following codes:
install.packages('ConsRank', dependencies=T)
library(ConsRank)
If you successfully load the package, you are good to go. The next step is to read the documentation of the package (Click Here) in which you will learn about what functions you will need and there are some different examples that help you understand the input and outputs.
Let me know if you needed any help running your scripts. Good Luck.
I've been trying to fit a simple model for a house price prediction in the following model:
Everything runs fine till the fit part, where I get the following error:
I've tried installing reticulate and RTools manually, using online notebooks like Kaggle and could not figure out how to implement this. Can somebody help me please. Thanks in advance!
I've tried using the library KerasR as well but couldn't get it running too, but for other reasons: invalid 'dimnames' given for data set, but this is something for another post
After forming the matrix( which is my resultant image ) from certain data I am trying to display the image using the "imagesc" in r. The same thing I already had done in Matlab. To do the same in r I found out "imagesc" in r. but when I use this function it is showing the following error message
No documentation for ‘imagesc’ in specified packages and libraries:
you could try ‘??imagesc’
Even I already incorporated
library(R.matlab)
please help me to resolve the issue? I am a beginner in r programming.
You are looking for the function imagesc in the wrong package.
The package R.matlab doesn't have such function (see R.matlab).
You can find it in the matlab package, though.
So just do:
install.packages("matlab")
library(matlab)
and you'll be good to go with imagesc.
That said, if your task is going to be a recurrent one, I think it's a good idea to use native R solutions, instead of Matlab's. In such case, you may want to check ggplot2::geom_tile.
Check this image, for instance:
I'm trying out Naive Bayes classification using stock dataset in R. Now for displaying the final results I've seen a function mmetric taking testing data and prediction model as arguments. But while I'm trying the same I'm facing the error could not find function "mmetric". I have installed the rminer and list packages which are quotes as reference packages for these. But still I could not resolve it.
Any Suggestions to resolve the error?
I got same error but i updated my Rcpp package that will be needed by rminer to load on the system, hope this helps.
I am trying to use the forecast function (forecast package in R) and running into problem. Consider the following example:
library(forecast)
fit=arima(WWWusage,order=c(1,1,1))
fcast=forecast(fit)
plot(fcast)
At the forecast step, I am getting the error message:
Error in .forecast.transform(x, xv, a, h, 1) :
argument "xv" is missing, with no default
This happens even if I replace arima by Arima or auto.arima functions in the forecast package.
Thank you Andrie and Rob for your helpful suggestions. I have fixed the problem, but not sure how. I installed an update to RStudio and reinstalled the forecast library and it worked! Maybe something got messed up recently.
Also, I want to take this opportunity to thank you, Rob, for developing this extremely useful R package.