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• Emulating hyperlink functionality in datawindow text fields

  - by mortalitysequence

  The idea is rather simple. Some datawindow (not web datawindow) varchar fields contain detailed descriptions. I was wondering if it is possible to provide the following (wikipedia-like) functionality to users: The ability to click (or dbl-click or whatever) on specific words of the text, while reading (which somehow should be indicated as clickable - it would be perfect if they could be colored blue but I don't think this is possible) and open a relevant window (or response). Do you think something like this could be implemented?

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• Boxplot in R showing the mean

  - by mortalitysequence

  Does anybody know of a way of generating a boxplot in R with a line (or another symbol) in the value corresponding to the mean? Thank you!

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• Converting a dataframe to a vector (by rows)

  - by mortalitysequence

  I have a dataframe with numeric entries like this one test <- data.frame(x=c(26,21,20),y=c(34,29,28)) How can I get the following vector? > 26,34,21,29,20,28

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• 2-way anova on unbalanced dataset

  - by mortalitysequence

  Is aov appropriate for unbalanced datasets. According to help ...provides a wrapper to lm for fitting linear models to balanced or unbalanced experimental designs. But later on it says aov is designed for balanced designs, and the results can be hard to interpret without balance. How should I perform a 2-way anova on an unbalanced dataset in R? I would like to reproduce the different results for type I and type III sum of squares of SAS output (when using proc glm). I remember we were using type III sum of squares for unbalanced datasets. Thank you in advance.

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• Row/column counter in 'apply' functions

  - by mortalitysequence

  What if one wants to apply a functon i.e. to each row of a matrix, but also wants to use as an argument for this function the number of that row. As an example, suppose you wanted to get the n-th root of the numbers in each row of a matrix, where n is the row number. Is there another way (using apply only) than column-binding the row numbers to the initial matrix, like this? test <- data.frame(x=c(26,21,20),y=c(34,29,28)) t(apply(cbind(as.numeric(rownames(test)),test),1,function(x) x[2:3]^(1/x[1]))) P.S. Actually if test was really a matrix : test <- matrix(c(26,21,20,34,29,28),nrow=3) , rownames(test) doesn't help :( Thank you.

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