| as.numfac | R Documentation |
Converts a factor to a numeric vector with approximately the
numeric values of its levels. Hence, the levels of the
factor must be numeric values, stored as characters. It uses the method
described in factor. Use as.numeric to convert a
factor to a numeric vector with integers 1, 2, ... corresponding
to the positions in the list of levels. The numeric values can be centred and/or scaled.
You can also use fac.recast to recode the levels to numeric
values. If a numeric is supplied and both center and scale are
FALSE, it is left unchanged; otherwise, it will be centred and scaled
according to the settings of center and scale.
as.numfac(factor, center = FALSE, scale = FALSE)
factor |
The |
center |
Either a |
scale |
Either a |
The value of center specifies how the centring is done. If it is TRUE,
the mean of the unique values of the factor are subtracted, after the
factor is converted to a numeric. If center is
numeric, it is subtracted from factor's converted
numeric values. If center is FALSE no scaling is done.
The value of scale specifies how scaling is performed, after any centring is
done. If scale is TRUE, the unique converted values of the
factor are divided by (i) the standard deviaton when the values have
been centred and (ii) the root-mean-square error if they have not been centred;
the root-mean-square is given by \sqrt{\Sigma(x^2)/(n-1)},
where x contains the unique converted factor values and n is the number
of unique values. If scale is FALSE no scaling is done.
A numeric vector. An NA will be stored for any value of the factor whose
level is not a number.
Chris Brien
as.numeric, fac.recast in package dae,
factor, scale.
## set up a factor and convert it to a numeric vector
a <- factor(rep(1:6, 4))
x <- as.numfac(a)
x <- as.numfac(a, center = TRUE)
x <- as.numfac(a, center = TRUE, scale = TRUE)
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