R/dom.freq10.R

In osoramirez/Sinax: Sound Index Analysis for Ecologist

#' Estimate dominant frequency at 10 minutes for .wav

#' @param dom.freq10 Estimates the dominant frequency, using the function in seewave package
#' @usage dom.freq10()
#' @import tuneR
#' @import seewave
#' @import soundecology
#' @return return a table at 10 min interval with dominant frequency index.
#' @export
#' @examples
#' #This code analyzes for a 10-minute interval
#' #dom.freq10()->dom.freq10min #Vector that contain your results
#' #dom.freq10min #Call the vector, and see your results.
#'
#'
#' @author Oscar Ramírez Alán (\email{osoramirez@@gmail.com}). Implements a
#' loops using base function from seewave and soundecology.
#'
#' @references {
#' Luis J. Villanueva-Rivera and Bryan C. Pijanowski (2018). soundecology: Soundscape Ecology. R package version 1.3.3. https://CRAN.R-project.org/package=soundecology.
#'
#' Sueur, J., Aubin, T., & Simonis, C. (2008). Seewave, a free modular tool for sound analysis and synthesis. Bioacoustics, 18(2), 213-226.
#'
#' Uwe Ligges, Sebastian Krey, Olaf Mersmann, and Sarah Schnackenberg (2018). tuneR: Analysis of Music and Speech. URL: https://CRAN.R-project.org/package=tuneR.
#' }
#'
#'
#'
#'
dom.freq10 <- function(){

  df <- data.frame()

  files <- list.files(path = getwd(), pattern = "wav$", ignore.case = T )
  minutos<-seq(0:9)# 10-minute interval

  for(file in 1:length(files)){

    for(i in 1:(length(minutos))){

      wav <- readWave(files[file], from = minutos[i]-1, to = minutos[i],
                      units = "minutes",  header = FALSE, toWaveMC = NULL)

      dom.frec<-dfreq(wav, f=22050, wl=512, threshold=0.015, main=paste(files[file], '-', minutos[i], sep=""))
      as.data.frame(dom.frec)->dom.frec1

      x <-soundscapespec(wav, plot=FALSE)
      v <- as.vector(x[,2]) 				## soundscape power F 1-2 kHz

      Prom.Dom.frec<-mean(dom.frec1$y, na.rm=TRUE)

      #Frecuencias Dominiantes por Khz
      dm.01<-dom.frec1[dom.frec1$y<=1, ]
      dm.12<-dom.frec1[dom.frec1$y>1 & dom.frec1$y<=2, ]
      dm.23<-dom.frec1[dom.frec1$y>2 & dom.frec1$y<=3, ]
      dm.34<-dom.frec1[dom.frec1$y>3 & dom.frec1$y<=4, ]
      dm.45<-dom.frec1[dom.frec1$y>4 & dom.frec1$y<=5, ]
      dm.56<-dom.frec1[dom.frec1$y>5 & dom.frec1$y<=6, ]
      dm.67<-dom.frec1[dom.frec1$y>6 & dom.frec1$y<=7, ]
      dm.78<-dom.frec1[dom.frec1$y>7 & dom.frec1$y<=8, ]
      dm.89<-dom.frec1[dom.frec1$y>8 & dom.frec1$y<=9, ]
      dm.910<-dom.frec1[dom.frec1$y>9 & dom.frec1$y<=10, ]
      dm.1011<-dom.frec1[dom.frec1$y>10 & dom.frec1$y<=11, ]
      dm.1112<-dom.frec1[dom.frec1$y>11 & dom.frec1$y<=12, ]
      dm.1213<-dom.frec1[dom.frec1$y>12 & dom.frec1$y<=13, ]
      dm.1314<-dom.frec1[dom.frec1$y>13 & dom.frec1$y<=14, ]
      dm.1415<-dom.frec1[dom.frec1$y>14 & dom.frec1$y<=15, ]
      dm.15<-dom.frec1[dom.frec1$y>15, ]

      length.fd.01<-length(dm.01$y)
      length.fd.12<-length(dm.12$y)
      length.fd.23<-length(dm.23$y)
      length.fd.23<-length(dm.23$y)
      length.fd.34<-length(dm.34$y)
      length.fd.45<-length(dm.45$y)
      length.fd.56<-length(dm.56$y)
      length.fd.67<-length(dm.67$y)
      length.fd.78<-length(dm.78$y)
      length.fd.89<-length(dm.89$y)
      length.fd.910<-length(dm.910$y)
      length.fd.910<-length(dm.910$y)
      length.fd.1011<-length(dm.1011$y)
      length.fd.1112<-length(dm.1112$y)
      length.fd.1213<-length(dm.1213$y)
      length.fd.1314<-length(dm.1314$y)
      length.fd.1415<-length(dm.1415$y)
      length.fd.15<-length(dm.15$y)

      finf <- data.table(file.info(dir(getwd()), extra_cols = F))
      finft<- data.table(finf$mtime[file=file])

      z <- list(Mean=Prom.Dom.frec,
                F01=length.fd.01,
                F12=length.fd.12,
                F23=length.fd.23,
                F34=length.fd.34,
                F45=length.fd.45,
                F56=length.fd.56,
                F67=length.fd.67,
                F78=length.fd.78,
                F89=length.fd.89,
                F910=length.fd.910,
                F1011=length.fd.1011,
                F1112=length.fd.1112,
                F1213=length.fd.1213,
                F1314=length.fd.1314,
                F1415=length.fd.1415,
                F15=length.fd.15,
                DateTime=finft)


      df <- rbind(df, data.frame(z, row.names = make.names(rep(files[file], length(z[[1]])), unique = TRUE)))
    }
  }
  names(df)[18]<-paste("Date-Time")
  return(df)

}