Dear Team,
I am running a multinomial logistic regression model for one of the fictitious data before i implement the same on my real data.
Here i am trying to predict based some scores and economic group whether a person will go for a diploma, general or honors.
The code below:
m11$prog2
Hi Stephen,
I have checked the categories.
levels(m11$prog) gives me 3 cate namely: "Diploma " "general " "honors"
tried both table and xtabs and below is the output from xtabs:
xtabs(~ prog + ses, data = m11)
ses
prog high low middle
Diploma 7 12 31
general 9 16 20
honors 42 19 44
I am here working on a POC for a client so this data has been downloaded from one of the website so you might be quite familiar;
Thanks.
I am experiencing the same issue. Could not figure out why.
Error in nnet::multinom(OverallCondition ~ ., data = data_house, family = "binomial") :
need two or more classes to fit a multinom model
In addition: Warning message:
In nnet::multinom(OverallCondition ~ ., data = data_house, family = "binomial") :
groups ‘Poor’ ‘Average’ ‘Good’ are empty
I am sitting with the same error around 2 hrs.
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