| yuend {WRS2} | R Documentation |
The function yuend performs Yuen's test on trimmed means for dependent samples. Dqcomhd compares the quantiles of the marginal distributions associated with two dependent groups via hd estimator. Tied values are allowed.
yuend(x, y, tr = 0.2) Dqcomhd(x, y, q = c(1:9)/10, nboot = 1000, na.rm = TRUE)
x |
an numeric vector of data values (e.g. for time 1). |
y |
an numeric vector of data values (e.g. for time 2). |
tr |
trim level for the means. |
q |
quantiles to be compared. |
nboot |
number of bootstrap samples. |
na.rm |
whether missing values should be removed. |
The test statistic is a paired samples generalization of Yuen's independent samples t-test on trimmed means.
yuend returns an object of class "yuen" containing:
test |
value of the test statistic (t-statistic) |
p.value |
p-value |
conf.int |
confidence interval |
df |
degress of freedom |
diff |
trimmed mean difference |
call |
function call |
Dqcomhd returns an object of class "robtab" containing:
partable |
parameter table |
Wilcox, R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Elsevier.
## Cholesterol data from Wilcox (2012, p. 197) before <- c(190, 210, 300,240, 280, 170, 280, 250, 240, 220) after <- c(210, 210, 340, 190, 260, 180, 200, 220, 230, 200) yuend(before, after) set.seed(123) Dqcomhd(before, after, nboot = 200, q = c(0.25, 0.5, 0.75))