ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0
function f = OrthLLS2D(x, y)
Inputs x and y must be real vectors of equal size. Output f is the real vector [a b c] where a, b and c are the estimated parameters of the linear equation.
Since a more general function called LINORTFITN has already been submitted to File Exchange (ID number: 16800) in...
Y = UPSIDECORRELATION(Y) returns the upside correlation for columns of variable Y.
Y = UPSIDECORRELATION(Y, m) returns the upside correlation using vector m as expected value for columns of variable Y.
Y = DOWNSIDEVARIANCE(Y) returns the downside variance for columns of variable Y.
Y = DOWNSIDEVARIANCE(Y, m) returns the downside variance using vector m as expected value for columns of variable Y.
Y = DOWNSIDECOVARIANCE(Y) returns the downside covariance for columns of variable Y.
Y = DOWNSIDECOVARIANCE(Y, m) returns the downside covariance using vector m as expected value for columns of variable Y.
IND = SUB2IND4UP(I, J) returns the linear index equivalent to the row and column subscripts I and J
Let ind be a vector of indexes for entries of some upper triangular matrix. The entries are selected vertically so that:
ind...
CORRPERC performs a bootstrap (of size equal to n_iters) on correlation matrices of input variable Y and computes the percentiles corrsperc (according to input perc) of each correlation. The function also provides the standard deviation corrstd...
Y = DOWNSIDECORRELATION(Y) returns the downside correlation for columns of variable Y.
Y = DOWNSIDECORRELATION(Y, m) returns the downside correlation using vector m as expected value for columns of variable Y.
Y = UPSIDECOVARIANCE(Y) returns the upside covariance for columns of variable Y.
Y = UPSIDECOVARIANCE(Y, m) returns the upside covariance using vector m as expected value for columns of variable Y.
[I, J] = IND2SUB4UP(IND) returns vectors I and J containing equivalent row and column subscripts corresponding to the index vector IND.
Let ind be a vector of indexes for entries of some upper triangular matrix. The entries are selected...
Package on Inequality Metrics such as the Gini Coefficient associated to the Lorenz Curve, the Theil and the Atkinson Indexes. |