search for: xy3

Hello everyone, I get some data in the following format and I would like to combine them to form a dataframe. The data is like: cbcname1 = 0.1, cbcname2= 0.2, cbcname3=0.3,... name1, name2, name2 are just some random names. I would like to achieve sth like: (cbcname1=0.1, cbcname2=0.2, cbcname3=0.3,......) I am using the following codes do.call(cbind,

...or Windows: > my.dist() [1] 22 560 Warning message: Replacement length not a multiple of the elements to replace in matrix(...) FYI: S+ 2000 pro. rel.2 for Windows and S+ 6.0 for Linux both give the same (wrong) answer as R 1.4.1 for Windows. ---------------------------------------------- xy3 <- matrix(round(100*runif(22*68)),22,68) my.dist <- function(x = xy3){ landmarks.x <- as.matrix(x[, 1:34]) landmarks.y <- as.matrix(x[, 35:68]) x1 <- c() x2 <- c() y1 <- c() y2 <- c() for(i in 1:(ncol(landmarks.x) - 1)) { x1 <- c(x1, rep(landmarks.x[, i], nco...

Should call celt_inner_prod(). --- celt/bands.c | 7 ++++--- celt/bands.h | 2 +- celt/celt_encoder.c | 6 +++--- celt/pitch.c | 2 +- src/opus_multistream_encoder.c | 2 +- 5 files changed, 10 insertions(+), 9 deletions(-) diff --git a/celt/bands.c b/celt/bands.c index bbe8a4c..1ab24aa 100644 --- a/celt/bands.c +++ b/celt/bands.c

Hi, Does anyone know what the distribution for the product of two correlated normal? Say I have X~N(a, \sigma1^2) and Y~N(b, \sigma2^2), and the \rou(X,Y) is not equal to 0, I want to know the pdf or cdf of XY. Thanks a lot in advance. yu [[alternative HTML version deleted]]