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Dear R-philes: I am having an issue with exporting contingency tables with xtable(). I set up a contingency and convert it to a matrix for passing to xtable() as shown below. v.cont.table <- table(v_lda$class, grps, dnn=c("predicted", "observed")) v.cont.mat <- as.matrix(v.cont.table) Both produce output as follows: observed predicted uh uh~ uh 201

Hello Everyone, Let's say I have a vector as follows: vowels = c("aa", "aa", "ah", "ao", "eh) I want to make a factor consisting of two levels: the things that are "aa" and those that are not "aa". How would I do that? I tried using factor(vowels, levels=c("aa", "~aa"), exclude=NULL), but this gives

R-philes, I have a question about displaying counts of unused factors using the table() function. I have two vectors with character data in them: local.labels("ah", "ah", "ah~") local.preds("ah", "ah", "ah") If I use the table function as shown below, I get an error because the number of levels do not match up. v.cont.table <-

Hello R-philes: I have the following function that gets the output of mget() and converts it to a data frame to return. What I am finding is that the dimensions are wrong. Basically, I get: bridesmaid wed u see m gt lt like love X.0 dress pagetrack one go X3 get 1 56 35 27 30 24 20 20 23 28 17 25 16 16 28 15 26 Instead, I want something like: [1] bridesmaid

Dear R-philes, I am having some trouble averaging across multiple runs of a classifier in an ROC Curve. I am using the ROCR package and the plot() method. First, I initialize a list with two elements where each element is a list of predictions and labels: vowel.ROC <- list(predictions=list(), labels=list()) For every run of the classifier, I append the scores and labels to their

How exactly does rsync determine that the copy has the incorrect timestamp and not the source file? Does it assume that the copy must be incorrect or are there other criteria that have to be considered? Quoting Kevin Korb via rsync <rsync at lists.samba.org>: > Whenever you use --times (included in --archive) rsync will fix > incorrect time stamps. The only thing --size-only is

Dear R-philes, I am plotting ROC curves for several cross-validation runs of a classifier (using the function below). In addition to the average AUC, I am interested in obtaining a confidence interval for the average AUC. Is there a straightforward way to do this via the ROCR package? plot_roc_curve <- function(roc.dat, plt.title) { #print(str(vowel.ROC)) pred <-

When a file of same length already exists at the destination then the command 'rsync --archive --size-only' (--archive is same as -rlptgoD) may change the modification time of the destination file even if no modification was made. Type the following commands in a terminal in order to reproduce the problem: $ mkdir source $ mkdir target $ echo "file one" > source/file $