ci.sign | R Documentation |
Computes an adjusted Wald interval for the population proportion of quantitative scores that are greater than the null hypothesis value of the population median in a one-sample sign test. This proportion is a measure of effect size that can be reported along with the sign test.
ci.sign(alpha, y, h)
alpha |
alpha level for 1-alpha confidence |
y |
vector of y scores |
h |
null hypothesis value for population median |
Returns a 1-row matrix. The columns are:
Estimate - adjusted estimate of proportion
SE - adjusted standard error
LL - lower limit of adjusted Wald confidence interval
UL - upper limit of adjusted Wald confidence interval
Agresti1998statpsych
y <- c(30, 20, 15, 10, 10, 60, 20, 25, 20, 30, 10, 5, 50, 40, 20, 10,
0, 20, 50)
ci.sign(.05, y, 9)
# Should return:
# Estimate SE LL UL
# 0.826087 0.0790342 0.6711828 0.9809911
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.