Hi! I have been working a while with mlogit, estimating successfully a series of models. This time I have a series of discrete choice experiments with different effects to test (var Effect). I use the code below: when I estimate the first model with "dd" it's work fine. Then I perform subset dd into dd1, filtering the category of Effect "none", and I get the expected subset of experiment (1800 rows = choices). When I estimate the model with dd1 I get the error message "invalid 'row.names' length". What is wrong? ------- library(mlogit) dd <- mlogit.data(Dataset, varying = 17:24, choice = "choice", id.var = "ID", shape = "wide", sep = "_") summary(m1 <- mlogit(choice ~ price + duration, dd)) dd1 <- subset(dd, dd$Effect=='none') summary(m1 <- mlogit(choice ~ price + duration, dd1)) ------
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