kzs.params: Restrictions for KZS Parameters

In kzs: Kolmogorov-Zurbenko Spatial Smoothing and Applications

Description

For a d-dimensional vector of input variables, this function will calculate the values by which the parameters smooth and scale are bounded by.

Usage

kzs.params(x, dimension)

Arguments

x	a matrix or data frame containing the input variable(s) that is to be used in kzs, kzs.2d, or kzs.md.
dimension	an integer specifying the dimensionality of x; i.e, the number of columns in x.

Details

The compilation of functions within the kzs package requires the specification of two parameters: the first is smooth, the range of smoothing along each variable in x; the second is scale, a scale reading of each corresponding input variable in x. Each parameter is subject to two restrictions; smooth[i] and scale[i] must be positive real numbers; scale[i] must be less than or equal to the difference of sorted, consecutive x[,i] values and smooth[i] must be much less than the difference of the maximum and minimum values for its corresponding input variable, x[,i]. For each input variable in x, there must be a corresponding smooth and scale. This function was developed to be used prior to any of the functions within kzs in order to increase the efficiency of use.

Author(s)

Derek Cyr [e-mail] and Igor Zurbenko [e-mail]

Examples

# Generate 3 random sequences of numbers that would act as the input data set 
x1 <- rnorm(100, 3, 6)
x2 <- rnorm(100, 4, 5)
x3 <- runif(100, 0, 1)

# A matrix or a data frame will work 
mat <- matrix(c(x1, x2, x3), nrow = 100, ncol = 3)

# Dimensionality is 3 since there are 3 input variables
kzs.params(x = mat, dimension = 3)

kzs documentation built on May 2, 2019, 4:20 a.m.