dtw_distance: Compute the DTW distance using the dtwcluster R package &...

In cjubin/learnMET: Predictions with Machine Learning methods in Multi Environment Trials (MET)

Compute the DTW distance using the dtwcluster R package & compute features

Description

Compute DTW distance using the dtw_basic function from dtwcluster R package and multi-dimensional scaling on the obtained distance to get features for ML analyses

Usage

dtw_distance(daily_weather_data, ...)

Arguments

a

list of data.frame with the following columns extracted from NASA POWER data, according to requested parameters: longitude numeric latitude numeric YEAR numeric MM integer DD integer DOY integer YYYYMMDD Date RH2M numeric T2M numeric T2M_MIN numeric T2M_MAX numeric PRECTOTCORR numeric ALLSKY_SFC_SW_DWN numeric T2MDEW numeric IDenv character ID environment for which weather data were downloaded. length.gs difftime length in days of the growing season for the environment.

Value

a data.frame data.frame with the results from the multi dimensional scaling analysis.

Author(s)

Cathy C. Westhues [e-mail]

cjubin/learnMET documentation built on Nov. 4, 2024, 6:23 p.m.