ccm_means: Take output from ccm and compute means as a function of...

In ha0ye/rEDM: Applications of Empirical Dynamic Modeling from Time Series

Description

ccm_means is a utility function to summarize output from the ccm function. If there is a 'model_output' column (e.g. if 'ccm()' was run with 'stats_only = FALSE'), then that column is dropped before summaries are computed.

Usage

ccm_means(ccm_df, FUN = mean, ...)

Arguments

ccm_df	a data.frame, usually output from the ccm function
FUN	a function that aggregates the numerical statistics (by default, uses the mean)
...	optional arguments to FUN

Value

A data.frame with forecast statistics aggregated at each unique library size

Examples

data("sardine_anchovy_sst")
anchovy_xmap_sst <- ccm(sardine_anchovy_sst, E = 3, 
  lib_column = "anchovy", target_column = "np_sst", 
  lib_sizes = seq(10, 80, by = 10), num_samples = 100)
a_xmap_t_means <- ccm_means(anchovy_xmap_sst)
 

ha0ye/rEDM documentation built on March 30, 2021, 11:21 p.m.