search for: logrithmic

I have some data where the frequency is heavily weighted on the lower end. So I have lots of low values with very few higher values. I would like to find breakpoints that cover the data with as much detail as possible. I find that if I use hist() to automatically find the breaks for me it finds breaks that are too coarse for the low values. I have tried the other algorithms (like 'Scott'

Hello Gurus: When I plot a survival fit using rpart for the classification tree, for each node, there is a decimal based number above the event/total. I tried to see if it's the exponential ratio or logrithmics, neither seem to be the case. I'm wondering if anyone knows what they are. Thanks, Karen _________________________________________________________________ Find hidden words, unscramble celebrity names, or try the ultimate crosswor[[elided Hotmail spam]] [[alternative HTML version deleted]]

Hello All! I am training to train a NN with function train() after splitting data with the function splitForTrainingAndTest(). The split is ok (checked it), but when I get a try on training I get this message: Error in UseMethod("train") : no applicable method for 'train' applied to an object of class "c('double', 'numeric')" The input data are

...g very closely -- but at around 30kb/s less than RC2. Those with more "golden ears" than I may contest that as a general statement, but I think I'll encode at around 2.5 for most things. For future Vorbis development, I think the quality scale should be shifted lower, or perhaps made logrithmic -- the marginal benefit per unit bitrate is much more at lower quality settings than higher (I doubt I would be able to hear any difference at all for 5 and above, while 0 through 3 were obvious step-ups). Also, if possible lower bitrates should degrade more gracefully. Gradually add high-frequenci...