knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(avesdemazan)
Data not currently in package and anlayses not needed for paper
# n_pcs <- length(unique(ecuador_pc$X)) # # n_pc_sp <- length(levels(ecuador_pc$Especie))
# yearsite_pc <- ecuador_pc %>% # group_by(.dots = c("Specie.Code", "year", "Location")) %>% # summarise(N = n()) %>% # group_by(.dots = c("Specie.Code", "year", "Location")) %>% # summarise(N = n()) %>% # group_by(.dots = c("year", "Location")) %>% # summarise(N = n()) %>% spread(Location, N) # # colnames(yearsite_pc)[1] <- "Year" # # kable(yearsite_pc, caption = "Total unique species by year and location") # # site_pc <- ecuador_pc %>% # group_by(.dots = c("Specie.Code", "Location")) %>% # summarise(N = n()) %>% # group_by(.dots = c("Location")) %>% # summarise(N = n()) # # kable(site_pc, caption = "Total unique species by location") # # year_pc <- ecuador_pc %>% # group_by(.dots = c("Specie.Code", "year")) %>% # summarise(N = n()) %>% # group_by(.dots = c("year")) %>% # summarise(N = n()) # # colnames(year_pc)[1] <- "Year" # # kable(year_pc, caption = "Total unique species by year")
# load("../data/rarefaction.RData") # # jpeg("MistNetRarefaction.jpg", width = 3000, height = 1500, res = 300) # mn3.plot + ggtitle("Mist Net Data") # # jpeg("PointCountRarefaction.jpg", width = 3000, height = 1500, res = 300) # pc.plot + ggtitle("Point Count Data") # dev.off()
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