fscale: Standardize the columns of a matrix
In kbroman/lineup: Lining Up Two Sets of Measurements
fscale R Documentation
Standardize the columns of a matrix
Description
Standardize each column in a matrix, so that the columns have mean 0 and SD
1.
Usage
fscale(x)
Arguments
x
A numeric matrix.
Details
Missing values (NA) are ignored and left as is.
If there is just 1 non-missing value in a column, it is left as is.
This function uses a one-pass algorithm to calculate the mean and SD, which
is fast but can show a bit of round-off error.
Value
A matrix of the same form as the input, but with columns transformed
to have mean 0 and SD 1.
Author(s)
Karl W Broman, broman@wisc.edu
See Also
base::scale()
Examples
x <- matrix(1:10, ncol=2)
y <- fscale(x)
kbroman/lineup documentation built on May 10, 2023, 6:02 p.m.
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| fscale | R Documentation |
Standardize the columns of a matrix
Description
Standardize each column in a matrix, so that the columns have mean 0 and SD 1.
Usage
fscale(x)
Arguments
x |
A numeric matrix. |
Details
Missing values (NA) are ignored and left as is.
If there is just 1 non-missing value in a column, it is left as is.
This function uses a one-pass algorithm to calculate the mean and SD, which is fast but can show a bit of round-off error.
Value
A matrix of the same form as the input, but with columns transformed to have mean 0 and SD 1.
Author(s)
Karl W Broman, broman@wisc.edu
See Also
base::scale()
Examples
x <- matrix(1:10, ncol=2)
y <- fscale(x)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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