Re: [R] Centre of gravity of a mountain

Peter Langfelder wrote: Sorry, I'm not sure what you want to do in points 2-4. Shrink the mountain vertically or horizontally? You can for example look up image resizing algorithms if you want to shrink the area under the mountain but keep the shape of the mountain (approximately) the

[R] Centre of gravity of a mountain

Hi all, I have a matrix of a mountain of form 21x21 and values in them are height (Z). Using the persp function I can view this mountain in 3D. Now, I am trying to find a measure to find the centre of gravity (maybe centroid?) of this mountain. Any idea what would be the best way to go? -- View

Re: [R] Centre of gravity of a mountain

Thanks! Works great. I have more questions on this, so I'll continue here: Now that I have the weighted mean, is it possible to reduce the size of mountain based on this weighted mean such the original matrix remains 21x21 while the mountain shrinks/converges. Step for my analysis: 1) Find

[R] readBin which has two different sizes

Hi, I have a binary file which has the following structure: 1) Some header in the beginning 2) Thousands of 216-byte data sub-grouped into 4 54-byte data structured as 4-byte time stamp (big endian) followed by 50 1-byte (8-bit) samples. So far this is how I am trying: #Open a connection for

Re: [R] readBin which has two different sizes

Thanks! I'll give that a try. -- View this message in context: http://r.789695.n4.nabble.com/readBin-which-has-two-different-sizes-tp2953365p2953619.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list

Re: [R] readBin which has two different sizes

Henrik Bengtsson wrote: 1. Use x - readBin(..., what=raw, n=35269*(54*4)) to read your raw (byte) data. 2. Turn it into a 54x4x35269 array, e.g. dim(x) - c(54,4,35269). 3. Extract the 4-byte time stamps by yT - x[1:4,,,drop=FALSE]; This is of type raw. Use readBin() to parse it, i.e.

Re: [R] Compare two 3d plots

I'll check that book out and/or get help from the authors. But i was still hoping there is some basic way to compare these 3d plots using R. By the way, I figured out i can draw these plots using command image and get a gradient heat map or topography map with gradients. Is there a function in R

[R] Compare two 3d plots

Hi, I am still learning and find it very helpful in my research. I have searched before posting this and could not figure out if there is a way to compare matrices the way i am describing below: I have a matrix of 64 cols and 64 rows which mostly has lots of zeros but has other non-zero