N-D histogram 1.0

HISTCND Histogram count for n dimensional data. N = HISTCND(X,EDGES), for row vectors X, counts the number of values in X that fall between the grid defined by the cell array of EDGES, each of whose element is a vector that contain monotonically non-decreasing values. N is an N-D array each of whose dimension corresponds to LENGTH(EDGES{j}) and each element contains a count of data that falls into the edge. X is N-by-D matrix representing N data points in D dimensional space. EDGES must have the same length to the number of columns of X. Alternatively, EDGES can be a numeric vector which gives a uniform grid for all dimensions of X. N(k1,k2,...) will count the vector X(i,:) if for each dimension j = 1,2,..., EDGES{j}(kj) > X = randn(100,2); % 100-by-2 row vectors >> edges = {-2:.4:2,-2:.5:2}; % ranges for each dimension >> histcnd(X,edges) ans = 0 0 0 1 1 1 0 0 0 0 1 1 2 1 1 0 0 0 1 0 3 4 0 3 0 0 0 0 1 2 1 3 0 1 0 0 0 3 1 4 2 1 3 1 0 1 1 2 3 3 4 1 0 0 0 1 1 2 1 1 4 0 0 0 1 2 2 2 1 0 0 0 1 2 0 3 2 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Alternatively,  Dimensions,  Edgesend,  Edgesjkj,  Match,  Nk1k2,  Numeric,  Values
Users rating:	0/10