NA
s,
pc1
standardizes the columns to have mean 0 and variance 1 and
computes the first principal component using
. 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.
pc1(x, hi)
hi
and its minimum value is zero
"coef"
is attached to this vector.
"coef"
contains the
raw-variable coefficients.
Frank Harrell
set.seed(1) x1 <- rnorm(100) x2 <- x1 + rnorm(100) w <- pc1(cbind(x1,x2)) attr(w,'coef')