door_ci {door} | R Documentation |
Calculate confidence intervals for DOOR probability
Description
This is a wrapper function for all CI calculation functions
Usage
door_ci(
y1 = NULL,
y2 = NULL,
n1 = NULL,
n2 = NULL,
summary_obj = NULL,
conf_level = 0.95,
data_type = c("freq", "prop"),
ci_method = c("all", "halperin", "ps_h", "tanh"),
...
)
Arguments
y1 , y2 |
Numeric vectors of DOOR proportion or frequency distribution for group 1, group 2. The entries should be ordered from most desirable to least desirable |
n1 , n2 |
Sample sizes of group 1, group 2; must be specified if method = "prop" |
summary_obj |
A object returned by |
conf_level |
Confidence level |
data_type |
Either "freq" for frequency input or "prop" for proportion input when using y1 and y2 |
ci_method |
One of "all" for all available methods, "halperin" for Halperin et al. (1989)'s method, "ps_h" for pseudo-score approach for Halperin's method, "tanh" for inverse hyperbolc tangent transformed method |
... |
Additional parameters passed for calculating pseudo-score type confidence interval |
Value
List of CIs
See Also
halperin_ci()
, pseudo_score_ci()
Examples
door_ci(c(60,30,10), c(50,40,10), ci_method = "all")