s3faPlot: Plot the resulted S3FA hyperplane

In aciobanusebi/s2fa: Factor Analysis (FA), Simple Supervised FA (S2FA), Simple Semi-Supervised FA (S3FA), Missing S3FA (MS3FA)

Description

Works only if input is 1- or 2-dimensional and output is 1-dimensional.

Usage

s3faPlot(X_t, Z_t, p, color = "red", add = FALSE, addPoints = FALSE,
  pointsColor = "black", addLr = FALSE, lrColor = "blue",
  checkArgs = TRUE, checkPositiveDefinite = FALSE)

Arguments

X_t	a matrix representing the input points to be plotted (if addPoints is TRUE); usually, the supervised training input
Z_t	a matrix representing the output = values of function in input points; usually, the supervised training output
p	parameters of a fitted S3FA
color	color of the hyperplane given by S3FA
add	add this plot to an already existing plot?
addPoints	whether to plot the points X_t, Z_t
pointsColor	color of points
addLr	fit and add a linear regression model on plot?
lrColor	color of linear regression hyperplane
checkArgs	whether to check the arguments are valid; it takes more time to execute
checkPositiveDefinite	whether to check the covariance matrices are valid; it takes more time to execute

Examples

params <- s3faFit(X_t_supervised = house[1:10,2,drop=FALSE],
                  Z_t_supervised = house[1:10,1,drop=FALSE],
                  X_t_unsupervised = house[11:20,2,drop=FALSE],
                  params=NULL,
                  type="fa",
                  lambdaRidge=0,
                  checkArgs=FALSE,
                  checkPositiveDefinite=FALSE,
                  epsilon=1e-10,
                  maxIterations=100,
                  stopType="objfn",
                  turboEmMethods=NULL)
s3faPlot(X_t=house[1:10,2,drop=FALSE],
         Z_t=house[1:10,1,drop=FALSE],
         p=params,
         color="red",
         add=FALSE,
         addPoints=TRUE,
         pointsColor="black",
         addLr=TRUE,
         lrColor="blue",
         checkArgs=TRUE,
         checkPositiveDefinite=FALSE)

params <- s3faFit(X_t_supervised = house[1:10,2:3,drop=FALSE],
                  Z_t_supervised = house[1:10,1,drop=FALSE],
                  X_t_unsupervised = house[11:20,2:3,drop=FALSE],
                  params=NULL,
                  type="fa",
                  lambdaRidge=0,
                  checkArgs=FALSE,
                  checkPositiveDefinite=FALSE,
                  epsilon=1e-10,
                  maxIterations=100,
                  stopType="objfn",
                  turboEmMethods=NULL)
s3faPlot(X_t=house[1:10,2:3,drop=FALSE],
         Z_t=house[1:10,1,drop=FALSE],
         p=params,
         color="red",
         add=FALSE,
         addPoints=TRUE,
         pointsColor="black",
         addLr=TRUE,
         lrColor="blue",
         checkArgs=TRUE,
         checkPositiveDefinite=FALSE)

aciobanusebi/s2fa documentation built on Aug. 7, 2021, 6:38 a.m.