Reputation: 7107
I am not sure why but I am getting the following error when applying knn.impute:
Error in storage.mode(use.data) <- "double" :
(list) object cannot be coerced to type 'double'
I don`t see anything wrong with the data.
Data:
library(bnstruct)
data(iris)
data <- iris[, 1:4]
data <- prodNA(iris, noNA = 0.2) # generate random missing data
knn.impute(data, k = 10, cat.var = 1:ncol(data),
to.impute = 1:nrow(data), using = 1:nrow(data))
str(data)
'data.frame': 150 obs. of 4 variables:
$ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
$ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
$ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
$ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
Upvotes: 3
Views: 1067
Reputation: 231
As pointed out in the comments, bnstruct::knn.impute
requires a numerical matrix, and it will not work with a dataframe. It will work with
data <- iris[, 1:4]
data <- prodNA(data, noNA = 0.2)
knn.impute(as.matrix(data), k = 10, cat.var = 1:ncol(data),
to.impute = 1:nrow(data), using = 1:nrow(data))
The documentation is wrong, sorry for that, I'm fixing it as soon as possible.
EDIT: the correct documentation has been updated in the github repo.
Upvotes: 1