Two methods. The first produces a vector, the second a one column matrix.x=1:10# Method 1rep(x,each=3)# Method 2matrix(t(matrix(x,length(x),3)))

Two methods. The first produces a vector, the second a one column matrix.x=1:10# Method 1rep(x,each=3)# Method 2matrix(t(matrix(x,length(x),3)))

Two methods. The first produces a vector, the second a one column matrix.x=1:10# Method 1rep(x,each=3)# Method 2matrix(t(matrix(x,length(x),3)))

This is how to use the Pixmap library to read in an image as a matrix.> library(pixmap)# the next command may only work on Linux> system("convert foo.tiff foo.ppm")> img To get info on your new object: > str(img) Although included in the previous output, the size of the image can be extracted by:>[email protected] Then to extract the red channel...

This is how to use the Pixmap library to read in an image as a matrix.> library(pixmap)# the next command may only work on Linux> system("convert foo.tiff foo.ppm")> img To get info on your new object: > str(img)Although included in the previous output, the size of the image can be extracted by:>[email protected] to extract the red channel...

anglefun <- function(xx,yy,bearing=TRUE,as.deg=FALSE){ ## calculates the compass bearing of the line between two points ## xx and yy are the differences in x and y coordinates between two points ## Options: ## bearing = FALSE returns +/- pi inst...

anglefun <- function(xx,yy,bearing=TRUE,as.deg=FALSE){ ## calculates the compass bearing of the line between two points ## xx and yy are the differences in x and y coordinates between two points ## Options: ## bearing = FALSE returns +/- pi inst...

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