Hi @AdamCSmithCWS, I'm working through tidying the stratify() function and want to confirm something with the species lumping.
With the species-lump-split/lump.csv, the n_add column reflects how many extra AOU codes there are to amalgamate. So if there are four AOU numbers in the aou1, aou2, etc. columns, n_add should be 4. Right?
My code doesn't use the n_add column, and I have a tiny discrepancy which I think is caused by a small error in the lump data frame:
In row 4, (Bullock's / Baltimore Oriole), the n_add should in fact be 3 (not 2)? Right? Or have I missed something?
> lump_sp <- utils::read.csv(system.file("species-lump-split", "lump.csv", package = "bbsBayes"),
fileEncoding = "latin1", stringsAsFactors = FALSE)
> lump_sp[, c(1,2,5:10)]
aou_original english_original n_add aou1 aou2 aou3 aou4 aou5
1 2973 unid. Dusky Grouse / Sooty Grouse 2 2970 2971 NA NA NA
2 5677 (unid. race) Dark-eyed Junco 5 5671 5670 5680 5660 5690
3 4123 (unid. Red/Yellow Shafted) Northern Flicker 3 4125 4120 4130 NA NA
4 5077 unid. Bullock's Oriole / Baltimore Oriole 2 5080 5070 5078 NA NA
5 3370 Red-tailed Hawk 1 3380 NA NA NA NA
6 4022 unid. sapsucker 4 4020 4021 4031 4032 NA
7 1690 Snow Goose 1 1691 NA NA NA NA
8 6295 unid. Cassin's Vireo / Blue-headed Vireo 3 6292 6291 6290 NA NA
9 4665 unid. Alder Flycatcher / Willow Flycatcher 2 4661 4660 NA NA NA
10 4642 unid. Cordilleran / Pacific-slope Flycatcher 2 4641 4640 NA NA NA
11 12 unid. Western Grebe / Clark's Grebe 2 10 11 NA NA NA
12 6556 (unid. Myrtle/Audubon's) Yellow-rumped Warbler 2 6550 6560 NA NA NA
13 5275 unid. Common Redpoll / Hoary Redpoll 2 5270 5280 NA NA NA
Hi @AdamCSmithCWS, I'm working through tidying the
stratify()
function and want to confirm something with the species lumping.With the
species-lump-split/lump.csv
, then_add
column reflects how many extra AOU codes there are to amalgamate. So if there are four AOU numbers in theaou1
,aou2
, etc. columns,n_add
should be 4. Right?My code doesn't use the
n_add
column, and I have a tiny discrepancy which I think is caused by a small error in the lump data frame:In row 4, (Bullock's / Baltimore Oriole), the
n_add
should in fact be 3 (not 2)? Right? Or have I missed something?