Convert numeric to factor
Hi, I tried to do a logistic regression with polr(MASS). I thought I already converted the response to factor, but obvious I was wrong. Could anyone tell me what I did wrong and how to correct it? Thank you very much!
Lease=read.csv("LeaseDummy.csv", header=TRUE)
Lease$ID <-
as.integer(factor(Lease$EarlyTermination))
RegA=polr(ID~1+MSA+SIC.Code+TenantOption+LLOption+TOExercised,
+ data=Lease, method=c("logistic"))
Error in polr(ID ~ 1 + MSA + SIC.Code + TenantOption +
LLOption + TOExercised, :
response must be a factor
summary(RegA)
Best, Ed.
--- Jean Eid <jeaneid at chass.utoronto.ca> wrote:
if labda is the elements of the vector and you know what kexp is , you can use apply apply(your_vector, 1, function(x) 1- exp^(kexp^(-x))) HTH Jean On Wed, 3 Aug 2005, Rangesh Kunnavakkam wrote:
I have a large vector of around 12597 elements
and I wish to calculate
p-value for each element using a formula of
something like:
p-value= 1-
exp^(kexp^(-labda))
I was wondering someone could give some ideas how
to implement for each element.
thankyou very much Rangesh.K
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