Re: [R] Issue with var command in stats package
> On Mar 27, 2016, at 9:14 AM, John, Larrywrote: > > Am using R version 3.2.4 in a fully updated version of Windows 7 and the most > current versions of coorplot, FactoMineR and factoextra to support multiple > correspondence analysis. However, today, a line of code that worked just fine > on one set of data produced an error message on a different set of data. > > Specifically, when I ran: > > corrplot(var$contrib, is.corr = FALSE) > > I received the following message: > >> corrplot(var$contrib, is.corr = FALSE) > Error in var$contrib : object of type 'closure' is not subsettable Since there is apparently not an object in your workspace named `var`, the interpreter is instead finding the function named `var` (which delivers the variance of a vector) and then is trying to apply the `$`-function to it but there is no `$`-method for functions. > > Can you please tell me what this error message means and roughly what I might > need to do to correct it? If necessary, I can provide the original data files. I doubt that the error is in your data. You need to find the section of code that was supposed to be creating an object named `var` and hopefully you now understand why that naming convention was a bad idea. Rewrite that section of code to use objects having more meaningful names, which will result in errors that are more helpful to you in the future. -- David Winsemius Alameda, CA, USA __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Issue with var command in stats package
Somewhere you'd named an R object var, which is also the name of the function. There's no way to access part of a function with $ so var$contrib is throwing the closure error, which is telling you that you can't index a function. Sarah On Sun, Mar 27, 2016 at 12:14 PM, John, Larrywrote: > Am using R version 3.2.4 in a fully updated version of Windows 7 and the most > current versions of coorplot, FactoMineR and factoextra to support multiple > correspondence analysis. However, today, a line of code that worked just fine > on one set of data produced an error message on a different set of data. > > Specifically, when I ran: > > corrplot(var$contrib, is.corr = FALSE) > > I received the following message: > >> corrplot(var$contrib, is.corr = FALSE) > Error in var$contrib : object of type 'closure' is not subsettable > > Can you please tell me what this error message means and roughly what I might > need to do to correct it? If necessary, I can provide the original data files. > > Many thanks for your kind help. > > Very Respectfully, > > Larry John > Principal Analyst > ANSER __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Issue with var command in stats package
Am using R version 3.2.4 in a fully updated version of Windows 7 and the most current versions of coorplot, FactoMineR and factoextra to support multiple correspondence analysis. However, today, a line of code that worked just fine on one set of data produced an error message on a different set of data. Specifically, when I ran: corrplot(var$contrib, is.corr = FALSE) I received the following message: > corrplot(var$contrib, is.corr = FALSE) Error in var$contrib : object of type 'closure' is not subsettable Can you please tell me what this error message means and roughly what I might need to do to correct it? If necessary, I can provide the original data files. Many thanks for your kind help. Very Respectfully, Larry John Principal Analyst ANSER __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.