recruitment.calculation {CTFS} | R Documentation |
A simple function to calculate recruitment and confidence limits from N1 (number alive at the end of interval), S (number of survivors), and time (time interval). Values can be vectors or scalars.
recruitment.calculation(N1, S, meantimeint)
N1 |
number of trees at the first census |
S |
number of trees that survived to the second census, N - D |
meantimeint |
interval between censuses in years for trees in the first census |
This function is called many times by recruitment
. It can be
used directly but it is primarily intended as an internal
function. N1, S
and meantimeint
can be single values or
vectors. For full details on computation of recruitment rate and
confidence limits see CTFS.recruitment
.
recruitment.calculation
returns a dataframe with the
following components:
N1 |
number of trees at the first census |
S |
number of trees that survived to the second census, N - D |
R |
number of recruited trees |
rate |
annual recruitment rate |
lowerCI |
lower 95% confidence interval |
upperCI |
upper 95% confidence interval |
meantimeint |
mean number of years between intervals |
Rick Condit, Pamela Hall
## Not run: 1. Default use of rexcruitment.calculation() recruitment.calculation(510, 490, 5) N1 S R rate lowerCI upperCI meantimeint 1 510 490 20 0.008001067 0.005189957 0.01233286 5 2. Input values as vectors N = c(110, 110, 110) S = c(90, 80, 70) time = c(5, 5, 5) recruitment.calculation(N,S,time) N1 S R rate lowerCI upperCI meantimeint 1 110 90 20 0.04013414 0.02581525 0.06143132 5 2 110 80 30 0.06369075 0.04420141 0.09014424 5 3 110 70 40 0.09039702 0.06561979 0.12211671 5 ## End(Not run)