dim(X) must have a positive length

General
1

I am currently trying to use hot deck data imputation to impute the DBC (psychometric test), but I keep getting the error:
Error in apply(data, 1, function(x) all(is.na(x))) :
dim(X) must have a positive length

My code is below:

hot.deck(data$DBC, m = 48, method = c( "p.draw"), cutoff = 48, sdCutoff = 1, optimizeSD = FALSE, optimStep = 0.1, optimStop = 5, weightedAffinity = FALSE, impContinuous = c("HD"), IDvars = NULL)

2

Happy to help if you can provide some data (just make dummy data if you need to with the right properties). A reprex (FAQ: How to do a minimal reproducible example ( reprex ) for beginners) makes it much easier for us to help you.

3

Hi, thanks for your help.
My data set for the DBC isn't very large, it consists of 131 participants, of whom 83 have completed it. Below is what happens when I try to view it

head(DBC)
[1] DBC 0 1 24 6 3
Levels: 0 1 10 12 13 14 15 16 17 18 19 2 22 23 24 25 26 27 28 29 3 31 32 36 38 4 41 5 6 7 8 9 DBC

Does this mean my data has been coded incorrectly?

4

It is very hard to help you with only the information you have here. If you do a reprex then I can run it locally and see the error first hand (hence my suggestion to create one).

At the moment, I can't say I know from which library you're pulling hot.deck nor what your complete dataset looks like etc. I have a feeling your input as a single column from data being fed into the function is the problem. Please have a look at the reprex link :slight_smile: