Mapping a function to a Matrix [closed]

Question

I’ve looked up previous answers to this question but haven’t found a suitable answer.

I am trying to Map a function that I defined across a Matrix. The function Maps fine across a 1D array but can’t figure out the syntax to make it work across a matrix.

As an example, I have the following functions defined…

allanVar[ylist_, n_] := 1/2 Mean[(ListCorrelate[Append[PadRight[{-1}, n], 1], MovingAverage[ylist, n]])^2] 

clusters[Npts_] := Union[ Table [Round[10^((i - 1) Log[10, 1000]/Npts)], {i, 1, Npts + 1}]]

allanData[zlist2_, Npts_] :=  Transpose[{clusters[Npts], 3600*Sqrt[allanVar[zlist2, #]] & /@ clusters[Npts]}];  

I create some sample random data in Matrix form

data = Table[0, {3000}, {5}];

Do[data[[All, i]] = RandomVariate[NormalDistribution[0, 0.1], 3000] +
 RandomFunction[WienerProcess[0.005, 0.01], {1/100, 30, 1/100}, 
    5]["Path", i][[All, 2]] ;   , {i, 1, 5} ];

I can Map the function allanData to one of columns of my matrix just fine…

ListLogLogPlot[allanData[data[[All, 1]], 20],  Joined -> True] 

But trying to map it to the entire matrix gives me Tensor order errors… not quite sure how to make the functions map across the matrix….

ListLogLogPlot[allanData[data, 20]]