multivariance (version 2.4.1)

multivariance.timing: estimate of the computation time

Description

Estimates the computation time. This is relative rough. First run with determine.parameters = TRUE (which takes a while). Then use the computed parameters to determine the computation time/or sample size.

Usage

multivariance.timing(
  N = NULL,
  n,
  sectime = NULL,
  coef.cdm = 15.2,
  coef.prod = 2.1,
  coef.sum = 1.05,
  determine.parameters = FALSE
)

Arguments

N

number of samples. If NULL and sectime is given, then N is computed.

n

number of variables

sectime

desired computation time in seconds. If NULL then the required computation time is computed.

coef.cdm

computation time parameter for the doubly centered distance matrices

coef.prod

computation time parameter for matrix products

coef.sum

computation time parameter for matrix sums

determine.parameters

if TRUE then the parameters for the current computer are determined. This might take a while (3 loops to N=1000).

Details

When detecting the parameters, the median of the computation times is used.

Examples

# NOT RUN {
Ns = (1:100)*10
ns = 1:100
fulltime = outer(Ns,ns,FUN = function(N,n) multivariance.timing(N,n))
contour(Ns,ns,fulltime,xlab = "N",ylab = "n",
 main = "computation time of multivariance in secs",
 sub = "using default parameters -
 use 'determine.parameters = TRUE' to compute machine specific values")

# Run to determine the parameters of your system:
# multivariance.timing(determine.parameters = TRUE)

# }