search for: logrithms

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,

...tion 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 logrithms of some financial values and their first lags. Does anybody can give me a hint how to make the train() function work correctly? Thank you and have a good day! Sara [[alternative HTML version deleted]]

I've just done some rudimentary testing to see how Vorbis degrades at absurdly low bitrates without downsampling. In summary, don't hope for anything decent below -q 0 for now. I tried oggenc -b <bitrate> -M <bitrate> for the below and a few in between: 24k - spectral energy "floor" captured decently, but many pure-tone blips (think old computer movie sound effects)