stnd.Ht: Standardize Temporal Covariates
In widals: Weighting by Inverse Distance with Adaptive Least Squares for Massive Space-Time Data

Description Usage Arguments Value See Also Examples

View source: R/stnd.Ht.R

Standardize temporal covariates with respect to both the spacial and time dimensions

1	stnd.Ht(Ht, n)

`Ht`	Temporal covariates (of supporting sites). A τ x p_t numeric matrix.
`n`	Number of sites. A positive scalar integer.

A τ x p_t numeric matrix.

stnd.Hs, stnd.Hst.ls.

##### Please see the examples in Hst.sumup


## The function is currently defined as
function (Ht, n) 
{
    h.mean <- apply(Ht, 2, mean)
    sHt <- t(t(Ht) - h.mean)
    sHt <- t(t(sHt)/apply(sHt, 2, function(x) {
        sqrt(sum(x^2))
    }))
    sHt <- sHt * sqrt(nrow(Ht)/n)
    return(sHt)
  }