My problem is I have data with both categorial and numerical data,
currently only the categorical number contains missing data, was wondering
do I make a new dataframe containing only the categorical columns?
How would you use Latent Class Model specifically poLCA to impute the
missing data?
http:
I have a classification tree analyzed using ctree() was wondering how
can one rotate the terminal nodes so that the axes are vertical?
library(party)
data(iris)
attach(iris)
plot(ctree(Species ~ Sepal.Length + Sepel.Width + Petal.Length +
Petal.Width, data = iris))
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