smoothProfiles | R Documentation |
This function takes a set of profiles and regularise them by means of a SVM
smoothProfiles(
profiles,
x = 1:nrow(profiles),
svm.c = NULL,
svm.eps = NULL,
svm.gamma = NULL,
parsvm.unique = TRUE
)
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]) |
Regularized profiles
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
Javier M. Moguerza and Emilio L. Cano
Cano, E.L. and Moguerza, J.M. and Prieto Corcoba, M. (2015) Quality Control with R. An ISO Standards Approach. Springer.
wby.smooth <- smoothProfiles(profiles = ss.data.wby,
x = ss.data.wbx)
plotProfiles(profiles = wby.smooth,
x = ss.data.wbx)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.