standardize.ct: Center and scale a continuous-time multivariate data set
In ctmva: Continuous-Time Multivariate Analysis
View source: R/standardize.ct.R
standardize.ct R Documentation
Center and scale a continuous-time multivariate data set
Description
Subtracts the (continuous-time) mean and divides by the (continuous-time) standard
deviation of each of the variables. This is the continuous-time analogue
of taking an n \times p data matrix, subtracting the mean of each column, and
dividing by the standard deviation of each column, as is done by
scale(..., center=TRUE, scale=TRUE).
Usage
standardize.ct(fdobj)
Arguments
fdobj
continuous-time multivariate data set of class "fd"
Value
A standardized (centered and scaled) version of the input data.
Author(s)
Philip Tzvi Reiss <reiss@stat.haifa.ac.il>
See Also
center.ct
ctmva documentation built on July 26, 2023, 5:18 p.m.
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View source: R/standardize.ct.R
| standardize.ct | R Documentation |
Center and scale a continuous-time multivariate data set
Description
Subtracts the (continuous-time) mean and divides by the (continuous-time) standard
deviation of each of the variables. This is the continuous-time analogue
of taking an n \times p data matrix, subtracting the mean of each column, and
dividing by the standard deviation of each column, as is done by
scale(..., center=TRUE, scale=TRUE).
Usage
standardize.ct(fdobj)
Arguments
fdobj |
continuous-time multivariate data set of class |
Value
A standardized (centered and scaled) version of the input data.
Author(s)
Philip Tzvi Reiss <reiss@stat.haifa.ac.il>
See Also
center.ct
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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