Compute Raw Moments Matrix
Description
Computes the “uncorrected” sumofsquaresandproducts matrix divided by the number of observations.
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 
Arguments
object 
a onesided model formula or an object coercible to a numeric matrix. 
formula 
a onesided model formula specifying the model matrix for
which raw moments are to be computed; note that a constant is included
if it is not explicitly suppressed by putting 
data 
an optional data frame containing the variables in the formula.
By default the variables are taken from the environment from which

subset 
an optional vector specifying a subset of observations to be used in computing moments. 
na.action 
a function that indicates what should happen when the data
contain 
contrasts 
an optional list. See the 
.
cov 
a covariance or correlation matrix. 
mean 
a vector of means. 
N 
the number of observations on which the covariances or correlations are based. 
sd 
an optional vector of standard deviations, to be given if 
x 
an object of class 
... 
arguments passed down. 
Value
raw.moments
and cov2raw
return an object of class rawmoments
,
which is simply a matrix
with an attribute "N"
that contains the number of observations on
which the moments are based.
Author(s)
John Fox jfox@mcmaster.ca
See Also
sem
Examples
1 2 3 4 5 6 
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.