Description Usage Arguments Examples
View source: R/analyze-preference-data.r
Computes the test statistics and p-values for the preference, selection, and treatment effects for the two-stage randomized trial using collected outcome, random, treatment, and strata values for specified significance level.
1 | fit_preference(outcome, arm, treatment, strata, alpha = 0.05)
|
outcome |
(numeric) individual trial outcomes. |
arm |
(character or factor) a vector of "choice" and "random" character or factor values indicating the arm of the sample? |
treatment |
(character, factor, or integer) which treatment an individual received |
strata |
(optional integer) which strata the individual belongs to. |
alpha |
(optional numeric) Level of significance (default=0.05) |
1 2 3 4 5 6 7 8 9 10 11 | # Unstratified
outcome <- c(10, 8, 6, 10, 5, 8, 7, 6, 10, 12, 11, 6, 8, 10, 5, 7, 9,
12, 6, 8, 9, 10, 7, 8,11)
arm <- c(rep("choice", 13), rep("random", 12))
treatment <- c(rep(1, 5), rep(2, 8), rep(1, 6), rep(2, 6))
fit_preference(outcome, arm, treatment)
# Stratified
# Same data plus strata information.
strata <- c(1,1,2,2,2,1,1,1,1,2,2,2,2,1,1,1,2,2,2,1,1,1,2,2,2)
fit_preference(outcome, arm, treatment, strata, alpha=0.1)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.