spline - How can I smooth an array in R? -

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I have a 2-D array in R, which represents the value data for the grid of rows and columns. It looks like: 

  [, 1] [, 2] [, 3] [, 4] [1,] 1 1 2 1 [2,] 1 5 6 3 [3,] 2 3 2 1 [4,] 1 1 1

I want to "smooth" these values ​​at this proof-of-concept point, I use any popular smoothing ceremony OK to do I am currently trying to use the smooth.spline function: 

  smooth.spline (x, y = null, w = null, df, spar = Null, cv = FALSE, all.knots = FALSE, nknots = NULL, keep.data = TRUE, df.offset = 0, penalty = 1, control.spar = list ())
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When I run it, I get this error:


>

Smooth. ) Error: At least four unique 'x' values ​​are required

There are four or more unique values ​​in each column in my array, so I I'm not sure I do not know how to properly format input data Can someone give me some pointers to talk like this? Examples of functions like Smoother with single-dimension vectors I do not seem to be extrapolating in the 2-D world. I'm a new novice, so please do not hesitate to correct the misuse of the conditions here!

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1 -D In either the vertical or horizontal axis, use: 

  Apply (myarray, 1, smooth.spline)

or

2-D is not familiar with smoothing, but a quick experiment with the package of fields seemed to work. 
  apply (myarray, 2, smooth.spline)

You have to install the package field and its dependencies where myMatrix < / Code> The matrix you had above was ... (I recreate it): 

  # x, y and zm = c (1,1, 2,1,1,5, 6,3,2,3,2,1,1,1,1,1) myMatrix = matrix (m, 4,4, t) matrix [, 1] [, 2] [, 3] [, 4] [ 1,] 1 1 2 1 [2,] 1 5 6 3 [3,] 2 3 2 1 [4,] 1 1 1 Z = as.vector (myMatrix) XY = Data .frame (x = as.numeric ( Gl (4,1,16), y = as numeric (gl (4,4,16)) t = tps (xy, z) surface (t)

A beautiful conspiracy Built up


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