Skip to content
Extraits de code Groupes Projets
data_description.R 1,29 ko
Newer Older
  • Learn to ignore specific revisions
  • Michel Crucifix's avatar
    Michel Crucifix a validé
    #' harmonic_sample
    #'
    #' A simple time series for testing purposes
    #' cos(t*0.13423167+0.00) + 1.3 * cos(t*0.119432+2.314) + 0.134994 + 0.4*cos(t*0.653167) + 0.11 * cos(t*0.78913498) 
    
    #' for t from 0 to 1023. It is coded as a `discreteSpectrum` objcet and self-describes its spectral decomposition. 
    
    Michel Crucifix's avatar
    Michel Crucifix a validé
    #'
    #' @docType data
    #' @keywords datasets
    #' @name harmonic_sample
    #' @usage data(harmonic_sample)
    NULL
    
    #' harmonic_sample_noisy
    #'
    #' Same has harmonic sample but with an added random time series
    #' cos(t*0.13423167+0.00) + 1.3 * cos(t*0.119432+2.314) + 0.134994 + 0.4*cos(t*0.653167) + 0.11 * cos(t*0.78913498) + rnorm(1024)*0.12
    
    #' for t from 0 to 1023. It is coded as a `discreteSpectrum` objcet and self-describes its spectral decomposition. 
    
    Michel Crucifix's avatar
    Michel Crucifix a validé
    #'
    #' @docType data
    #' @keywords datasets
    #' @name harmonic_sample_noisy
    #' @usage data(harmonic_sample_noisy)
    NULL
    
    #' pseudo_log
    #'
    #' A truncated version (squared-shape) version of a harmonic signal for mimicking a sedimentary log
    #' sign( cos(t*0.13423167+0.00) + 1.3 * cos(t*0.119432+2.314) + 0.134994 + 0.4*cos(t*0.653167) + 0.11 * cos(t*0.78913498) + 0.8))
    
    #' for t from 0 to 8191. It is coded as a `discreteSpectrum` objcet and self-describes its spectral decomposition. 
    
    Michel Crucifix's avatar
    Michel Crucifix a validé
    #' @docType data
    #' @keywords datasets
    #' @name pseudo_log
    #' @usage data(pseudo_log)
    NULL