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)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(SixSigma)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SixSigma/smoothProfiles.Rd_%03d_medium.png", width=480, height=480)
> ### Name: smoothProfiles
> ### Title: Regularise set of profiles
> ### Aliases: smoothProfiles
>
> ### ** Examples
>
> wby.smooth <- smoothProfiles(profiles = ss.data.wby,
+ x = ss.data.wbx)
> plotProfiles(profiles = wby.smooth,
+ x = ss.data.wbx)
>
>
>
>
>
> dev.off()
null device
1
>