PCA2D: Principal Component Analysis of 2D data
In geostats: An Introduction to Statistics for Geoscientists
PCA2D R Documentation
Principal Component Analysis of 2D data
Description
Produces a 4-panel summary plot for two dimensional
PCA for didactical purposes.
Usage
PCA2D(X)
Arguments
X
a matrix with two columns
Examples
X <- rbind(c(-1,7),c(3,2),c(4,3))
colnames(X) <- c('a','b')
PCA2D(X)
geostats documentation built on Jan. 7, 2023, 5:32 p.m.
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| PCA2D | R Documentation |
Principal Component Analysis of 2D data
Description
Produces a 4-panel summary plot for two dimensional PCA for didactical purposes.
Usage
PCA2D(X)
Arguments
X |
a matrix with two columns |
Examples
X <- rbind(c(-1,7),c(3,2),c(4,3))
colnames(X) <- c('a','b')
PCA2D(X)
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.
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