Rescale: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Scales data back to original scaling. | Scales data back to original scaling. | ||
===Synopsis=== | ===Synopsis=== | ||
:rx = rescale(x,means, | |||
:rx = rescale(x,means,stds,options) | |||
:rx = rescale(x,means) | |||
===Description=== | ===Description=== | ||
Rescales a matrix x using the means means and standard deviation stds vectors specified. | |||
Rescales a matrix <tt>x</tt>, using the means <tt>means</tt> and standard deviation <tt>stds</tt> vectors specified. | |||
====Inputs==== | |||
* '''x''' = matrix of input data | |||
* '''means''' = vector of means to be used for rescaling | |||
* '''stds''' = vector of standard deviations to be used for rescaling | |||
If only two input arguments are supplied, the function will correct the means only. | |||
====Outputs==== | |||
* '''rx''' = rescaled version of the input data '''x''' | |||
===Options=== | ===Options=== | ||
* | |||
options = a structure array with the field: | |||
* '''stdthreshold''' = [0] scalar value or vector of standard deviation threshold values. If a standard deviation is below its corresponding threshold value, the threshold value will be used in lieu of the actual value. A scalar value is used as a threshold for all variables. | |||
===Examples=== | |||
rx = rescale(x,means) | |||
rescales a mean centered matrix <tt>x</tt> using a vector of means <tt>means</tt>. | |||
rx = rescale(x,means,stds) | |||
rescales a previously autoscaled matrix <tt>x</tt> using a vector of means <tt>means</tt>, and vector of standard deviations <tt>stds</tt>. | |||
===See Also=== | ===See Also=== | ||
[[auto]], [[medcn]], [[mncn]], [[npreprocess]], [[preprocess]], [[scale]] | [[auto]], [[medcn]], [[mncn]], [[npreprocess]], [[preprocess]], [[scale]] | ||
Latest revision as of 15:54, 22 February 2013
Purpose
Scales data back to original scaling.
Synopsis
- rx = rescale(x,means,stds,options)
- rx = rescale(x,means)
Description
Rescales a matrix x, using the means means and standard deviation stds vectors specified.
Inputs
- x = matrix of input data
- means = vector of means to be used for rescaling
- stds = vector of standard deviations to be used for rescaling
If only two input arguments are supplied, the function will correct the means only.
Outputs
- rx = rescaled version of the input data x
Options
options = a structure array with the field:
- stdthreshold = [0] scalar value or vector of standard deviation threshold values. If a standard deviation is below its corresponding threshold value, the threshold value will be used in lieu of the actual value. A scalar value is used as a threshold for all variables.
Examples
rx = rescale(x,means)
rescales a mean centered matrix x using a vector of means means.
rx = rescale(x,means,stds)
rescales a previously autoscaled matrix x using a vector of means means, and vector of standard deviations stds.
See Also
auto, medcn, mncn, npreprocess, preprocess, scale