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rodents_crosstab = as_tibble(summarize_rodent_data( clean = TRUE, type = "Rodents", shape = "crosstab", time = "newmoon", output = "abundance", na_drop = FALSE, zero_drop = FALSE )) rodents_flat = as_tibble(summarize_rodent_data( clean = TRUE, type = "Rodents", shape = "flat", time = "newmoon", output = "abundance", na_drop = FALSE, zero_drop = FALSE )) rodents_crosstab |> select(newmoonnumber, PP) |> filter(newmoonnumber > 403) |> print(n = 20)
# A tibble: 163 × 2 newmoonnumber PP <int> <int> 1 404 2 2 405 7 3 406 22 4 407 22 5 408 NA 6 409 39 7 410 NA 8 411 104 9 412 NA 10 413 36 # ℹ 153 more rows # ℹ Use `print(n = ...)` to see more rows
rodents_flat |> filter(species == "PP") |> filter(newmoonnumber > 403) |> select(newmoonnumber, abundance) |> print(n = 20)
# A tibble: 122 × 2 newmoonnumber abundance <int> <int> 1 404 2 2 405 7 3 406 22 4 407 22 5 409 39 6 411 104 7 413 36 8 415 2 9 416 0 10 417 12 # ℹ 112 more rows # ℹ Use `print(n = ...)` to see more rows
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