R/statpsych1.R
ci.2x2.mean.ws.Rd
Computes confidence intervals and tests for the AB interaction effect, main effect of A, main effect of B, simple main effects of A, and simple main effects of B in a 2x2 within-subjects design with a quantitative response variable.
ci.2x2.mean.ws(alpha, y11, y12, y21, y22)
alpha level for 1-alpha confidence
vector of scores at level 1 of A and level 1 of B
vector of scores at level 1 of A and level 2 of B
vector of scores at level 2 of A and level 1 of B
vector of scores at level 2 of A and level 2 of B
Returns a 7-row matrix (one row per effect). The columns are:
Estimate - estimate of effect
SE - standard error
t - t test statistic
df - degrees of freedom
p - two-sided p-value
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
y11 <- c(1,2,3,4,5,7,7)
y12 <- c(1,0,2,4,3,8,7)
y21 <- c(4,5,6,7,8,9,8)
y22 <- c(5,6,8,7,8,9,9)
ci.2x2.mean.ws(.05, y11, y12, y21, y22)
#> Estimate SE t df p LL
#> AB: 1.28571429 0.5654449 2.2738102 6 0.0633355395 -0.09787945
#> A: -3.21428571 0.4862042 -6.6109784 6 0.0005765210 -4.40398462
#> B: -0.07142857 0.2296107 -0.3110855 6 0.7662600658 -0.63326579
#> A at b1: -2.57142857 0.2973809 -8.6469203 6 0.0001318413 -3.29909331
#> A at b2: -3.85714286 0.7377111 -5.2285275 6 0.0019599725 -5.66225692
#> B at a1: 0.57142857 0.4285714 1.3333333 6 0.2308094088 -0.47724794
#> B at a2: -0.71428571 0.2857143 -2.5000000 6 0.0465282323 -1.41340339
#> UL
#> AB: 2.66930802
#> A: -2.02458681
#> B: 0.49040865
#> A at b1: -1.84376383
#> A at b2: -2.05202879
#> B at a1: 1.62010508
#> B at a2: -0.01516804
# Should return:
# Estimate SE t df p LL UL
# AB: 1.28571429 0.5654449 2.2738102 6 0.0633355395 -0.09787945 2.66930802
# A: -3.21428571 0.4862042 -6.6109784 6 0.0005765210 -4.40398462 -2.02458681
# B: -0.07142857 0.2296107 -0.3110855 6 0.7662600658 -0.63326579 0.49040865
# A at b1: -2.57142857 0.2973809 -8.6469203 6 0.0001318413 -3.29909331 -1.84376383
# A at b2: -3.85714286 0.7377111 -5.2285275 6 0.0019599725 -5.66225692 -2.05202879
# B at a1: 0.57142857 0.4285714 1.3333333 6 0.2308094088 -0.47724794 1.62010508
# B at a2: -0.71428571 0.2857143 -2.5000000 6 0.0465282323 -1.41340339 -0.01516804