From the code you provided, Vehic_vol is not a column of VehicleData. If you enter in it returns Note that NULL and VehicleData$CITY_MPG have different lengths (use length() to verify that). Try this instead or
From R 3.0.0 onwards mean(<data.frame>) is defunct (and passing a data.frame to mean will give the error you state) A data frame is a list of variables of the same number of rows with unique row names, given class “data.frame”. In your case, result has two variables (if your description is correct) . You could … Read more
You install a new version of R from the official website. RStudio should automatically start with the new version when you relaunch it. In case you need to do it manually, in RStudio, go to :Tools -> options -> General. Check @micstr’s answer for a more detailed walkthrough.
as.factor is a wrapper for factor, but it allows quick return if the input vector is already a factor: Comment from Frank: it’s not a mere wrapper, since this “quick return” will leave factor levels as they are while factor() will not: Expanded answer two years later, including the following: What does the manual say? … Read more
The key is to convert the column with the desired labels to row names with df <- tibble::column_to_rownames(df, var = “labels”) That way the clustering algorithm won’t even consider the labels, but will apply them to the points on the cluster.
Because your question is phrased regarding your error message and not whatever your function is trying to accomplish, I will address the error. – is the ‘binary operator’ your error is referencing, and either CurrentDay or MA (or both) are non-numeric. A binary operation is a calculation that takes two values (operands) and produces another value (see wikipedia for more). + is … Read more
You can just use table(): Then you can subset it: Or convert it into a data.frame if you’re more comfortable working with that:
For those using Rstudio, I’ve found that setting Sys.setenv(‘R_MAX_VSIZE’=32000000000), as has been suggested on multiple StackOverflow posts, only works on the command line, and that setting that parameter while using Rstudio does not prevent this error: Error: vector memory exhausted (limit reached?) After doing some more reading, I found this thread, which clarifies the problem with Rstudio, and … Read more
kmeans cannot handle data that has NA values. The mean and variance are then no longer well defined, and you don’t know anymore which center is closest.
This should work: (or alternatively)