I have a dataset which looks like this(A-J are column names)
A B C D E F G H I J
1 2 2 3 2 1 1 1 1
2 1 1 1 1 1 1 1 1 1
2 1 2 2 2 2 2 2 1 1
2 1 2 1 1 1 1 1 1 1
2 1 3 3 3 2 2 2 2
2 1 3 2 2 3 1 1 1 1
1 3 2 1 2 2 2 1 2
2 1 2 2 2 2 2 2 1 1
1 2 2 2 2 1 1 1 1
2 1 2 1 1 1 2 1 1 1
2 1 1 1 1 1 2 2 1 1
2 1 2 1 1 1 1 1 1 2
2 1 1 1 1 1 1 1
2 1 3 3 3 3 1 1 1 2
1 2 2 1 2 1 1 1 1
1 2 2 2 2 2 2 1 1
2 2 4 1 1 1 2 2 1 1
1 1 3 3 3 3
2 1 3 3 1 2 2 2 2 3
I am getting the below error-
Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘complete’ for signature ‘"mids", "numeric"’
My data has lot of NULL values and I am trying to impute the data using below code-
imp_data<-mice(data = data_NA, m = 5, method = "rf", maxit = 5, seed = 500)
I get the error when I run the code-
complete(imp_data,1)
Please suggest where I am doing wrong
It seems that NA values are not properly assigned in the data_NA data.frame which is causing the problem.
The modified data (with NA) and transforming it using mice as it worked for me:
library(mice)
imp_data <- mice(data = data_NA, m = 5, method = "rf", maxit = 5, seed = 500)
complete(imp_data, 1)
EDITED: The error seen by OP was resolved by changing the call as:
mice::complete(imp_data, 1)
May be the mice::complete was masked by some function other package.
#Result
# A B C D E F G H I J
# 1 1 2 2 3 2 1 1 1 1 2
# 2 2 1 1 1 1 1 1 1 1 1
# 3 2 1 2 2 2 2 2 2 1 1
# 4 2 1 2 1 1 1 1 1 1 1
# 5 2 1 1 3 3 3 2 2 2 2
# 6 2 1 3 2 2 3 1 1 1 1
# 7 1 3 2 1 2 2 2 1 2 1
# 8 2 1 2 2 2 2 2 2 1 1
# 9 1 2 2 2 2 1 1 1 1 1
# 10 2 1 2 1 1 1 2 1 1 1
# 11 2 1 1 1 1 1 2 2 1 1
# 12 2 1 2 1 1 1 1 1 1 2
# 13 2 1 1 1 1 1 1 1 1 1
# 14 2 1 3 3 3 3 1 1 1 2
# 15 1 2 2 1 2 1 1 1 1 1
# 16 1 2 2 2 2 2 2 1 1 1
# 17 2 2 4 1 1 1 2 2 1 1
# 18 1 1 3 3 3 3 2 1 2 1
# 19 2 1 3 3 1 2 2 2 2 3
#
Data
data_NA<- read.table(text =
"A B C D E F G H I J
1 2 2 3 2 1 1 1 1 NA
2 1 1 1 1 1 1 1 1 1
2 1 2 2 2 2 2 2 1 1
2 1 2 1 1 1 1 1 1 1
2 1 NA 3 3 3 2 2 2 2
2 1 3 2 2 3 1 1 1 1
1 3 2 1 2 2 2 1 2 NA
2 1 2 2 2 2 2 2 1 1
1 2 2 2 2 1 1 1 1 NA
2 1 2 1 1 1 2 1 1 1
2 1 1 1 1 1 2 2 1 1
2 1 2 1 1 1 1 1 1 2
2 1 1 1 NA NA 1 1 1 1
2 1 3 3 3 3 1 1 1 2
1 2 2 1 2 1 1 1 1 NA
1 2 2 2 2 2 2 1 1 NA
2 2 4 1 1 1 2 2 1 1
1 1 3 3 3 3 NA NA NA NA
2 1 3 3 1 2 2 2 2 3",header = TRUE)