pc1
From Hmisc v4.02
by Frank E Harrell Jr
First Principal Component
Given a numeric matrix which may or may not contain NA
s,
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
rawvariable coefficients.
See Also
Examples
set.seed(1)
x1 < rnorm(100)
x2 < x1 + rnorm(100)
w < pc1(cbind(x1,x2))
attr(w,'coef')
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