dsa_fft: performs an FFT on behavioral data
In remichel/rmTools: Provides basic r functionalities

dsa_fft A function to compute the fft results for a time series (especially dense sampled behavioral data). By default, dsa_fft will treat the data so that each column is considered one timepoint and computes all steps by row. If your input data is organized with time = rows, change time argument to 'row'. Both sampling frequency and desired frequency resolution (Bin width per frequency bin of FFT) needs to be in Hz.

dsa_fft(
  data,
  time = "col",
  detrend = "linear",
  window = "tukey",
  scaling = "z",
  padding = "zeros",
  desired_res = 1,
  sfreq = 25,
  desired_out = "amp",
  single_sided = T,
  out = "mod",
  alpha = 0.1,
  verbose = T
)

`data`	requires the dataframe
`time`	are timepoints across columns or rows? default = "col"
`detrend`	Detrending the data (default = 'linear', also available: 'dc', '2ndorder' or 'none')
`window`	Windowing whole time series (default = 'tukey', also available: 'hanning', 'none')
`scaling`	Rescaling the data (default: 'z' for z-transform, also available: 'none' )
`padding`	Padding the data (default: 'zeros' for zero-padding, also available: 'mean', 'none')
`desired_res`	Padding the data up to desired_res (automatically evaluates necessary number of pads to achieve the resolution, default = 1)
`sfreq`	sampling frequency of inserted datapoints
`desired_out`	Extract amplitude values (default: 'amp', also available 'power' or 'logPower')
`single_sided`	Single-sided frequency spectum (default = T)
`out`	By default, output is Mod (Amplitude) of the signal. Change to 'arg' to get phase or 'complex' to get the complex output.
`alpha`	only for tukey window
`verbose`	T/F