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)