R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(LPCM)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LPCM/print.lpc.Rd_%03d_medium.png", width=480, height=480)
> ### Name: print.lpc
> ### Title: Printing output for lpc and lpc.spline objects
> ### Aliases: print.lpc print.lpc.spline
> ### Keywords: multivariate
>
> ### ** Examples
>
> data(calspeedflow)
> lpc1 <- lpc(calspeedflow[,3:4])
> print(lpc1)
Type plot( lpc1 ) to see a graphical display of the fitted object.
Type names( lpc1 ) to see an overview of items available.
The data have been scaled by dividing through
147 56.1
> lpc2 <- lpc.spline(lpc1)
> print(lpc2)
Type plot( lpc2 ) to see a graphical display of the fitted object.
Type names( lpc2 ) to see an overview of items available.
A cubic spline with 100 knots and total arc length 1.7051 has been laid through the local centers of mass representing the local principal curve.
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> dev.off()
null device
1
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