Description Usage Arguments Details Value Author(s) References Examples
This function estimates quantiles of numerical traits from a respondent-driven sample (RDS) using the tree bootstrap method.
1 | treeboot.RDS(samp, quant, B)
|
samp |
A list with four components:
|
quant |
a vector of numbers between 0 and 1, the quantiles to be estimated for each trait, with default |
B |
a positive integer, the number of tree bootstrap samples to be drawn, with default 2000. |
The function treeboot.RDS
estimates the quantiles of traits from a respondent-driven sample (RDS) using the tree bootstrap method. Options allow for different quantiles to be estimated and the number of tree bootstrap samples to be drawn.
A matrix with one row for each trait in the RDS. Each row has a single computed quantile corresponding to the input vector quant
.
Aaron J. Baraff
Maintainer: Aaron J. Baraff <ajbaraff at uw.edu>
Baraff, A. J., McCormick, T. H., and Raftery, A. E., "Estimating uncertainty in respondent-driven sampling using a tree bootstrap method."
1 2 3 4 5 6 7 8 | ## load data
data(faux.network)
## draw RDS from network
samp <- sample.RDS(faux.network$traits, faux.network$adj.mat, 100, 2, 3, c(0,1/3,1/3,1/3), TRUE)
## estimate 80% and 95% confidence intervals
treeboot.RDS(samp, c(0.025, 0.10, 0.90, 0.975), 2000)
|
0.025 0.1 0.9 0.975
X 0.1791863 0.2223866 0.40791034 0.46104260
Y 0.0000000 0.0000000 0.04265729 0.06604178
Z 0.1271268 0.1690338 0.34732846 0.41175285
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