smoothProfiles {SixSigma}

Regularise set of profiles

Description

This function takes a set of profiles and regularise them by means of a SVM

Usage

smoothProfiles(
  profiles,
  x = 1:nrow(profiles),
  svm.c = NULL,
  svm.eps = NULL,
  svm.gamma = NULL,
  parsvm.unique = TRUE
)

Arguments

profiles

Matrix of y values, one column per profile

x

Vector of predictive variable values, common to all profiles

svm.c

SVM parameter (cost)

svm.eps

SVM parameter (epsilon)

svm.gamma

SVM parameter (gamma)

parsvm.unique

Same parameters for all profiles? (logical [TRUE])

Value

Regularized profiles

Note

The package e1071 is needed in order to be able to use this function. SVM Parameters can be vectors of the same lenght as number of profiles, or a single value for all of them

Author(s)

Javier M. Moguerza and Emilio L. Cano

References

Cano, E.L. and Moguerza, J.M. and Prieto Corcoba, M. (2015) Quality Control with R. An ISO Standards Approach. Springer.

Examples

wby.smooth <- smoothProfiles(profiles = ss.data.wby,
    x = ss.data.wbx)
plotProfiles(profiles = wby.smooth,
    x = ss.data.wbx)