Error saying "some group too small for qda"

0 votes

This is my code:

library(MASS)
library(mlbench)
library(caret)
library(class)
data(Glass)
Glass <- data.frame(Glass)
Glass <- na.omit(Glass)
Glass$Type = as.factor(Glass$Type)
x = as.matrix(Glass[,names(Glass) != "Type"])
mode(x) = "numeric"
Glass[,names(Glass) != "Type"] <-x
ind <- sample(2, nrow(Glass), replace = TRUE, prob=c(0.8, 0.2))
train <- Glass[ind == 1,]
test <- Glass[ind == 2,]
train[,names(Glass) != "Type"] <- apply(train[,names(Glass) != "Type"], 2, jitter)

And I keep getting this following error:

Error in qda.default(x, grouping, ...) : some group is too small for 'qda'

Nov 9, 2018 in Data Analytics by Ali
• 10,660 points
717 views

1 answer to this question.

0 votes

It's not wrong code (there is little mistake), when this error show

some group is too small for 'qda'

This means that the dataSet is wrong. You should modify dataSet.

answered Nov 9, 2018 by Maverick
• 10,780 points

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