plotfd {Funclustering} | R Documentation |
This function plots a functional data object (after smoothing or interpolation). If you want to color the curves according to a cluster's membership, please specify the parmetere col. Note: this function works only for univariate functional data.
plotfd(fd, col = 1:nrow(fd$coefs), xlab = "time", ylab = "value", main = "Functional data curves", ...)
fd |
a functional data object |
col |
the color vector. |
xlab |
label of the horizontal axis |
ylab |
label of the vertical axis |
main |
the title of the graphic |
... |
extra plot parameters |
data(growth) data=cbind(matrix(growth$hgtm,31,39),matrix(growth$hgtf,31,54)); t=growth$age; splines <- create.bspline.basis(rangeval=c(1, max(t)), nbasis = 20,norder=4); fd <- Data2fd(data, argvals=t, basisobj=splines); cls=c(rep(1,39),rep(2,54)) #there is 39 boys and 54 girls in this data plotfd(fd,col=cls)