utils_global_scaling_params

Internal function to compute global scaling parameters (mean and standard deviation) for time series lists. Used within <code>tsl_transform()</code> when the scaling function <code>f_scale_global()</code> is used as input for the argument <code>f</code>.
Warning: this function removes exclusive columns from the data. See function <code>tsl_subset()</code>.

Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.

Blas M. Benito

distantia

Advanced Toolset for Efficient Time Series Dissimilarity
Analysis

utils_global_scaling_params function

<dl><dt>tsl</dt>
<dd>(required, list) Time series list. Default: NULL</dd>
<dt>f</dt>
<dd>(required, function) function <code>f_scale_global()</code>. Default: NULL</dd>
<dt>...</dt>
<dd>(optional, arguments of <code>f</code>) Optional arguments for the transformation function.</dd></dl>

Arguments

Global Centering and Scaling Parameters of Time Series Lists — utils_global_scaling_params

<dl>

<dt>tsl</dt>
<dd>(required, list) Time series list. Default: NULL</dd>


<dt>f</dt>
<dd>(required, function) function <code>f_scale_global()</code>. Default: NULL</dd>


<dt>...</dt>
<dd>(optional, arguments of <code>f</code>) Optional arguments for the transformation function.</dd>

</dl>

utils_global_scaling_params: Global Centering and Scaling Parameters of Time Series Lists

Description

Usage

Value

Arguments

See Also