EPhysMethods R Package

The EPhysMethods package contains helper functions and methods frequently used with electrophysiological data (filters, outlier detection, Fourier transform)

Installation

You can install the development version of EPhysMethods from GitHub with:

if (!requireNamespace("remotes", quietly = TRUE)){
  install.packages("remotes")
}
remotes::install_github("moritzlindner/EPhysMethods")

Note that EPhysMethods recommends the github-deposited R Package EPhysData. Installation usually works automatically. Updating, however may fail. If this is the case, update manually using the following line of code:

remotes::install_github("moritzlindner/EPhysData")

Example

This is a basic example which shows you how to solve a common problem:

library(EPhysMethods)
## fast Fourier transform
library(units)
signal<-sin((1:1000)/33)*sin((1:1000)/20)
plot(signal)

fft_result <- fastfourier(signal, samp.freq = as_units(1000,"Hz"))
plot(fft_result$freq[1:20],abs(fft_result$fur[1:20]))


## Get spectral power
require(EPhysData)
X<-makeExampleEPhysData()
ggEPhysData(X)
#> Warning in GetData(x, Raw = Raw): Averaging function function (x) { x} returns more than a single value per time point. Has a valid function been set? Try e.g.: AverageFunction(X)<-mean
#> Warning in ggEPhysData(X): No averaging function set.

psd<-PSD(X)
ggEPhysData(psd)


## identify most dissimilar columns 
data <- matrix(data = c(1, 2, 3, 4, 5, 6, 7, 8, 9), ncol = 3)
rejected <- autoreject.by.distance(data, threshold = 1)