ci.2x2.median.bs {statpsych} | R Documentation |
Computes tests and confidence intervals of effects in a 2x2 betwen-subjects design for medians
Description
Computes confidence intervals for the AB interaction effect, main effect of A, main efect of B, simple main effects of A, and simple main effects of B in a 2x2 between-subjects design with a quantitative response variable. The effects are defined in terms of medians rather than means.
Usage
ci.2x2.median.bs(alpha, y11, y12, y21, y22)
Arguments
alpha |
alpha level for 1-alpha confidence |
y11 |
vector of scores at level 1 of A and level 1 of B |
y12 |
vector of scores at level 1 of A and level 2 of B |
y21 |
vector of scores at level 2 of A and level 1 of B |
y22 |
vector of scores at level 2 of A and level 2 of B |
Value
Returns a 7-row matrix (one row per effect). The columns are:
Estimate - estimate of effect
SE - standard error
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
Examples
y11 <- c(14, 15, 11, 7, 16, 12, 15, 16, 10, 9)
y12 <- c(18, 24, 14, 18, 22, 21, 16, 17, 14, 13)
y21 <- c(16, 11, 10, 17, 13, 18, 12, 16, 6, 15)
y22 <- c(18, 17, 11, 9, 9, 13, 18, 15, 14, 11)
ci.2x2.median.bs(.05, y11, y12, y21, y22)
# Should return:
# Estimate SE LL UL
# AB: -5.0 3.389735 -11.643758 1.64375833
# A: 1.5 1.694867 -1.821879 4.82187916
# B: -2.0 1.694867 -5.321879 1.32187916
# A at b1: -1.0 2.152661 -5.219138 3.21913797
# A at b2: 4.0 2.618464 -1.132095 9.13209504
# B at a1: -4.5 2.311542 -9.030539 0.03053939
# B at a2: 0.5 2.479330 -4.359397 5.35939682
[Package statpsych version 1.5.0 Index]