recruitment.calculation {CTFS}R Documentation

Compute Annual Recruitment Rates and Confidence Limits given N, S and Time

Description

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.

Usage

recruitment.calculation(N1, S, meantimeint)

Arguments

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

Details

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.

Value

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

Author(s)

Rick Condit, Pamela Hall

See Also

CTFS.recruitment

Examples

## 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)

[Package CTFS version 1.00 Index]