I ran the follow code for an ordered logit, but don't know why two levels of my dependent variable are at the topic of my list of variables.
I don't know why this appears, and what I'm supposed to take from them y>=0. Haven't thought much about this y>=1. Favor library(Design) two <- lrm(trade1 ~ age2 + education2 + personal2 + economy2 + partisan2 + employment2 + union2 + home2 + market2 + race2 + income2) two summary(two) #Logistic Regression Model # #lrm(formula = trade1 ~ age2 + education2 + personal2 + economy2 + # partisan2 + employment2 + union2 + home2 + market2 + race2 + # income2) # #Frequencies of Responses # 5. Oppose 0. Haven't thought much about this # 258 311 # 1. Favor # 209 # #Frequencies of Missing Values Due to Each Variable # trade1 age2 education2 personal2 economy2 partisan2 # 210 0 3 7 16 134 #employment2 union2 home2 market2 race2 income2 # 678 5 59 207 10 82 # # Obs Max Deriv Model L.R. d.f. P C Dxy # 778 1e-10 79.47 11 0 0.647 0.295 # Gamma Tau-a R2 Brier # 0.296 0.194 0.11 0.191 # # Coef S.E. Wald Z P #y>=0. Haven't thought much about this 3.045016 0.879724 3.46 0.0005 #y>=1. Favor 1.198983 0.873244 1.37 0.1697 #age2 0.003499 0.006006 0.58 0.5602 #education2 -0.232741 0.048080 -4.84 0.0000 #personal2 -0.117132 0.089053 -1.32 0.1884 #economy2 -0.308168 0.104512 -2.95 0.0032 #partisan2 -0.103308 0.091803 -1.13 0.2605 #employment2 -0.097818 0.378070 -0.26 0.7958 #union2 0.038079 0.168730 0.23 0.8215 #home2 0.274581 0.157926 1.74 0.0821 #market2 -0.195350 0.153563 -1.27 0.2033 #race2 -0.057408 0.112952 -0.51 0.6113 #income2 -0.130017 0.068048 -1.91 0.0560 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
