#' @title prepare data with common names
#'
#' @description Creates a dataframe
#'
#' @param df2 A data frame object
#'
#' @return A df
#'
#' @examples add.zeros.commonName(df2)
#'
#' @export add.zeros.commonName
#'
add.zeros.commonName<-function(pc2){
columnsRemoved<-names(pc2) %in% c("Spp","Scientific.Name")
pc2_reduced<-pc2[!columnsRemoved]
wide <- reshape(pc2_reduced, v.names="COUNT", idvar="PointYear",timevar="Common.Name", 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")
narrow2<-separate(data = narrow, col = Spp, into = c("Count", "Spp"), sep = "\\.")
countRemoved<-names(narrow2)%in%c("Count")
narrow2<-narrow2[!countRemoved]
row.names(narrow2)<-NULL
narrow2$ABUNDANCE<-narrow2$COUNT/narrow2$Visits
narrow2<-subset(narrow2, select=c("PointYear","Transect", "YEAR", "POINT", "Visits", "Spp", "ABUNDANCE"))
return(narrow2)
}
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