splitting data for prediction

[Dinah]

Odataset2 <- read.csv ("C:/Users/FBDA17-031/Documents/OlyDash/Odataset2.csv")
Odataset2 <- Odataset2%>%
 mutate(model = ifelse(Date <= "Date", "train", "test"))
  

colnames(Odataset2)<- colnames(Date)
Odataset2 <- xts(Odataset2, as.Date(as.character(Odataset2$Date.To.Date), format="%m/%d/%Y"))

I keep getting the error below when running the code above,.. and can't seem to fix it

Error in xts(Odataset2, as.Date(as.character(Odataset2$Date.To.Date), : NROW(x) must match length(order.by)

what could be the problem?

[pieterjanvc]

Hi,

In order for us to help you with your question, please provide us a minimal reproducible example where you provide a minimal (dummy) dataset and code that can recreate the issue. Once we have that, we can go from there. For help on creating a Reprex, see this guide:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

Good luck!
PJ