Hi all,
I'm trying to run a simple spatial capture-recapture model using the oSCR package in R, but have come across a simple (and based on an extensive Google) fairly common issue to many different types of scripts. That is, the below error:
Warning message:*
In max(Xid) : no non-missing arguments to max; returning -Inf.
What confuses me is that I have run the identical script for a different data set (whilst making the code dataset-specific, of course), which was far larger in size, and that ran perfectly. However, the error appears for my smaller data set. I would really appreciate any thoughts and ways to fix this error, please. Many thanks in advance!
Library(oSCR)
hog_edf <- read.csv(FILENAME)
hog.tdf <- read.csv(FILENAME)
hog.data <-
data2oscr(edf = hog_edf,
tdf = list(hog.tdf,hog.tdf,hog.tdf),
sess.col = which(colnames(hog_edf)%in%"SESSION"),
id.col = which(colnames(hog_edf)%in%"ANIMAL_ID"),
occ.col = which(colnames(hog_edf)%in%"SO"),
trap.col = which(colnames(hog_edf)%in%"TRAP_ID"),
sex.col = which(colnames(hog_edf)%in%"SEX"),
sex.nacode = "NA",
K = c(10,10,10), #10 occasions per session (3 sessions)
ntraps = rep(126,3), #number of capture traps per session (3 sessions)
trapcov.names = c("hab"),
tdf.sep = "/")
Reproducible example data:
Hog_edf file:
| SESSION |
ANIMAL ID |
TRAP_ID |
SO |
SEX |
| 1 |
E_BLACK_F |
Frn_0 |
1 |
0 |
| 1 |
A_BLACK_F |
Frn_1 |
2 |
0 |
| 1 |
A_BLACK_M |
Frn_2 |
3 |
1 |
| 1 |
F_BLACK_F |
Frn_3 |
4 |
0 |
| 1 |
D_BLACK_F |
Frn_4 |
5 |
0 |
| 1 |
E_BLACK_M |
Frn_5 |
6 |
1 |
| 1 |
G_BLACK_F |
Frn_6 |
7 |
0 |
| 1 |
A_RED_M |
Frn_7 |
8 |
1 |
| 1 |
D_RED_F |
Frn_8 |
8 |
0 |
| 1 |
E_RED_M |
Frn_9 |
9 |
1 |
| 1 |
F_RED_M |
Frn_10 |
10 |
1 |
Hog_tdf file:
| TRAP_ID |
X |
Y |
sep |
hab |
| Frn_0 |
465078 |
356398 |
/ |
urban |
| Frn_1 |
465058 |
356352 |
/ |
urban |
| Frn_2 |
465038 |
356306 |
/ |
urban |
| Frn_3 |
465008 |
356270 |
/ |
urban |
| Frn_4 |
464969 |
356245 |
/ |
urban |
| Frn_5 |
464924 |
356257 |
/ |
urban |
| Frn_6 |
464924 |
356303 |
/ |
urban |
| Frn_7 |
464922 |
356349 |
/ |
urban |
| Frn_8 |
464957 |
356384 |
/ |
urban |
| Frn_9 |
464992 |
356416 |
/ |
urban |
| Frn_10 |
464967 |
356434 |
/ |
urban |