In kleinbub/rMEA: Synchrony in Motion Energy Analysis (MEA) Time-Series

knitr::opts_chunk$set(echo = TRUE)

Questa cosa: attributes(experiment2)=attributes(experiment) è male perché sovrascrive anche l'attributo "names" che invece deve essere tenuto free. Sostituisci con structure(experiment2, "asd"=attr(experiment2,"asd"))

Identify outliers in MEAlagplot()
'GET' functions, e.g. ~~getCCF~~, getMEA
add a $rand object to MEA class
~~all functions accepting MEAlist objects now should accept a list instead and try to parse as MEAlist internally~~
Calculate % of simultaneous zeroes (when zeros are during at least 5s)
clean code: debug comments, italian comments, old commented code
diagnostic plots with 2 rows, on the second showing random section in great detail, e.g. 10 s of nonempty signal
add outlier removal to the readme example
export nowness % information
tutte le funzioni on list in input cercano di fare MEAlist
% of simultaneous zeroes

export long vector plots
Implement peak picking algorithms results in $ccfRes
smart confidence interval analysis for bootstrap
dynamic window size!!!
cross-validation to define a confidence band for each lag value, instead of mean (for MEAlagplots and group/bootstrap comparisons)

kleinbub/rMEA documentation built on Dec. 15, 2024, 8:33 p.m.

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