search for: educ2

...grouped to my wishes. However, R seems to place each element of that variable in alphabetical order. When I am running the model, don't I need the model order from lowest to highest to make an inference that a one unit change in one variable produced a one unit change in another. levels(educ) educ2 = NA educ2[educ %in% levels(educ)[c(4,7)]] <- "HS or Some College" educ2[educ %in% levels(educ)[1:2]] <- "College Degree" educ2[educ %in% levels(educ)[c(3,5)]] <- "Advanced Degree" educ2[educ %in% levels(educ)[c(6,8)]] <- "Other" educ2 = factor(ed...

...", "77", > + "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", > + "88", "89", "90", "92"), class = "factor"), educ2 = structure(c(3L, > + 3L, 9L, 7L, 7L, 2L, 3L, 2L, 6L, 6L, 1L, 3L, 2L, 9L, 4L, 7L, > + 2L, 3L, 9L, 3L, 9L, 3L, 7L, 8L, 3L, 3L, 3L, 7L, 3L, 4L, 4L, > + 7L, 9L, 3L, 3L, 7L, 3L, 2L, 9L, 2L, 6L, 3L, 2L, 3L, 7L, 3L, > + 2L, 2L, 2L, 7L), .Label = c("Don't know/Refused...

..., "76", "77", + "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", + "88", "89", "90", "92"), class = "factor"), educ2 = structure(c(3L, + 3L, 9L, 7L, 7L, 2L, 3L, 2L, 6L, 6L, 1L, 3L, 2L, 9L, 4L, 7L, + 2L, 3L, 9L, 3L, 9L, 3L, 7L, 8L, 3L, 3L, 3L, 7L, 3L, 4L, 4L, + 7L, 9L, 3L, 3L, 7L, 3L, 2L, 9L, 2L, 6L, 3L, 2L, 3L, 7L, 3L, + 2L, 2L, 2L, 7L), .Label = c("Don't know/Refused (VOL.)", +...

...uot;, "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "92"), class = "factor"), educ2 = structure(c(3L, 3L, 9L, 7L, 7L, 2L, 3L, 2L, 6L, 6L, 1L, 3L, 2L, 9L, 4L, 7L, 2L, 3L, 9L, 3L, 9L, 3L, 7L, 8L, 3L, 3L, 3L, 7L, 3L, 4L, 4L, 7L, 9L, 3L, 3L, 7L, 3L, 2L, 9L, 2L, 6L, 3L, 2L, 3L, 7L, 3L, 2L, 2L, 2L, 7L), .Label = c("Don't know/Refused (VOL.)", "Four...

Hi All: I am working on a dataset of a study on healthcare workers. One of the variables I am studying is a categorical variable (variable name:EDUC, indicates educational achievement, with 6 levels: "illiterate", "primary", "junior high school", "high school completed", "undergraduate", and "postgraduate"). I want to collapse the

...mation I want on first differences and so forth. Unfortunately, I keep getting an error when running the zelig function and was wondering if there was a quick alternative for generating predicted probabilities for a ordered logit in R. library(Zelig) mod <- zelig(sold ~ age + gender + marital + educ2 + cars + license + credit + type + home + id, model="ologit", data=dat, Hess=TRUE) summary(mod) For what it's worth, here's the error from my Zelig code. > x.out <- setx(mod, credit=1) Error in dta[complete.cases(mf), names(dta) %in% vars, drop = FALSE] : incorrec...