search for: kachalin

Hello to all users and wizards. I am regulary using 'boxplot' function or its analogue - 'bwplot' from the 'lattice' library. But they are, as far as I understand, totally flawed in functionality: they miss ability to select what they would draw 'in the middle' - median, mean. What the box means - standard error, 90% or something else. What the whiskers mean -

...ed nor oval-shaped. They are free-form, but still recogniseable by an operator. What is ability in R to graphically (per mouse) define some area and to select all the cases felt in it? 'identify' is OK for 5-10 cases, but what if cases=1000? Thank you very much for advice. -- Evgeniy Kachalin

Hello, dear R users. I've already sent a question here, but I'm not sure that it had been read. I need to visualize classification of my numerical data based on 2-3 factors. As I suppose, the best way is a tree. With an orbitrary function at the ends (leaves), or at least with means of my data at the ends. What is the way to do it? As I found, ctree offers binary classification, but

Hello, dear R users. What is the easiest and the most visualli understandable way to analize dependency of numerical variable on two factors? Is the boxplot(y~f1+f2) the good way? It seems that this formula does not work. -- Evgeniy