I have one binary response variable and 5 nominal predictor variables which take values (strongly agree, agree, neutral, disagree, strongly disagree). I want to obtain coefficient matrix using logistic regression. Please help.
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Y = [0 1 0 1 1 1 ..] X = [var1 var2 var3 var4 var5] var1 = [agree neutral disagree ...] similarly var 2 var 3 var4 var5 I converted responses to -2 -1 0 1 2 as strongle disagree, disagree, neutral etc. now,I ran: [b,dev,stats] = glmfit(X,Y,'binomial','link','logit') I am getting error as: Y must be a two column matrix or a vector for the binomial distribution.
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