pc1

0th

Percentile

First Principal Component

Given a numeric matrix which may or may not contain NAs, pc1 standardizes the columns to have mean 0 and variance 1 and computes the first principal component using prcomp. The proportion of variance explained by this component is printed, and so are the coefficients of the original (not scaled) variables. These coefficients may be applied to the raw data to obtain the first PC.

Keywords
multivariate
Usage
pc1(x, hi)
Arguments
x
numeric matrix
hi
if specified, the first PC is scaled so that its maximum value is hi and its minimum value is zero
Value

The vector of observations with the first PC. An attribute "coef" is attached to this vector. "coef" contains the raw-variable coefficients.

prcomp

• pc1
Examples
set.seed(1)
x1 <- rnorm(100)
x2 <- x1 + rnorm(100)
w <- pc1(cbind(x1,x2))
attr(w,'coef')

Documentation reproduced from package Hmisc, version 4.0-2, License: GPL (>= 2)

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