ci.theil {statpsych} | R Documentation |
Theil-Sen estimate and confidence interval for slope
Description
Computes a Theil-Sen estimate and distribution-free confidence interval for the population slope in a simple linear regression model. An approximate standard error is recovered from the confidence interval.
Usage
ci.theil(alpha, y, x)
Arguments
alpha |
alpha level for 1-alpha confidence |
y |
vector of response variable scores |
x |
vector of predictor variable scores (paired with y) |
Value
Returns a 1-row matrix. The columns are:
Estimate - Theil-Sen estimate of population slope
SE - recovered standard error
LL - lower limit of confidence interval
UL - upper limit of confidence interval
References
Hollander M, Wolf DA (1999). Nonparametric Statistical Methods. Wiley.
Examples
y <- c(21, 4, 9, 12, 35, 18, 10, 22, 24, 1, 6, 8, 13, 16, 19)
x <- c(67, 28, 30, 28, 52, 40, 25, 37, 44, 10, 14, 20, 28, 40, 51)
ci.theil(.05, y, x)
# Should return:
# Estimate SE LL UL
# 0.5 0.1085927 0.3243243 0.75
[Package statpsych version 1.6.0 Index]