[R] quantifying the latent variable of an ordered probit

hi, i have an ordered probit model where i estimate the probability of survey participants to have selected a certain category of a censored latent variable from a survey (the latent variable is the evolution of consumer prices). the latent variable is of course continuous, the survey however jus

Re: [R] Splitting up large set of survey data into categories

push (sorry ;-)) -- View this message in context: http://r.789695.n4.nabble.com/Splitting-up-large-set-of-survey-data-into-categories-tp4323327p4352611.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list h

Re: [R] Splitting up large set of survey data into categories

Hi Tal, thank you very much for your reply. The xts-dataframe I am using is like: example <- as.data.frame(structure(c(" 1", " 2", " 1", " 2", " 1", " 1", " 2", " 1", " 2", " 1", " 2", " 3", " 1", " 1", " 2", " 2", " 3", " 1", " 2", " 2", " 1", " 2", " 1", " 1", " 2", NA, " 2", NA, NA, " 1", "

[R] Splitting up large set of survey data into categories

Hi, I am a total newbie to R so I apologize if the answer to my question is too obvious. I a data set of the following form: Date V1 V... VN Region Industry 22/03/1995 23:01:12 1 3 2 15 A