#' @title Adds zeros to dataframe for statistical analysis
#'
#' @description Takes bird data that has been prepared by bird_prepare function and turned into the same information but with zeros where no detections were found.
#'
#' @param df A data frame object
#'
#' @return A data frame
#'
#' @examples df2 = bird_species.common(pc)
#'
#' @export add.zeros.noCount
#'
add.zeros.noCount<-function(pc){
#takes in df that has been through bird_species.common
wide <- reshape(pc, v.names="COUNT", idvar="PointYear",timevar="Spp", direction="wide")
first<-wide[,1:5]
second<-wide[,6:length(wide[1,])]
second0 <- second
second[] <- lapply(second,function(x) replace(x, is.na(x), 0))
final<-as.data.frame(cbind(first,second))
narrow<-reshape(final,idvar="PointYear",varying=list(names(final)[6:length(final[1,])]),direction="long",times=names(final)[6:length(final[1,])],v.names="COUNT",timevar="Spp")
narrow$Spp<-as.factor(substr(narrow$Spp,7,10))
row.names(narrow)<-NULL
narrow$ABUNDANCE<-narrow$COUNT/narrow$Visits
narrow2<-subset(narrow, select=c("PointYear","Transect", "YEAR", "POINT", "Visits", "Spp", "ABUNDANCE"))
return(narrow2)
}
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