Nothing
README.md
In LPCM: Local Principal Curve Methods
LPCM
This package can be used for fitting multivariate data patterns with
local principal curves, including tools for data compression
(projection) and measuring goodness-of-fit; with some additional
functions for mean shift clustering.
library(LPCM)
data(calspeedflow)
lpc1 <- lpc(calspeedflow[,3:4])
plot(lpc1, lwd=2, curvecol="red")
ms1 <- ms(calspeedflow[,3:4], plot=FALSE)
plot(ms1)
Try ?LPCM, ?lpc and ?ms.
Try the LPCM package in your browser
Any scripts or data that you put into this service are public.
LPCM documentation built on Jan. 6, 2023, 5:22 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
LPCM
This package can be used for fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering.
library(LPCM)
data(calspeedflow)
lpc1 <- lpc(calspeedflow[,3:4])
plot(lpc1, lwd=2, curvecol="red")
ms1 <- ms(calspeedflow[,3:4], plot=FALSE)
plot(ms1)
Try ?LPCM, ?lpc and ?ms.
Try the LPCM package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.