| ci.lc.mean.bs | R Documentation |
Computes a test statistic and confidence interval for a linear contrast of means in a between-subjects design. This function computes both unequal variance and equal variance confidence intervals and test statistics. A Satterthwaite adjustment to the degrees of freedom is used with the unequal variance method.
For more details, see Section 3.3 of Bonett (2021, Volume 1)
ci.lc.mean.bs(alpha, m, sd, n, v)
alpha |
alpha level for 1-alpha confidence |
m |
vector of estimated group means |
sd |
vector of estimated group standard deviations |
n |
vector of sample sizes |
v |
vector of between-subjects contrast coefficients |
Returns a 2-row matrix. The columns are:
Estimate - estimated linear contrast
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
Snedecor1980statpsych
\insertRefBonett2021statpsych
m <- c(24.9, 23.1, 16.4)
sd <- c(5.21, 4.67, 4.98)
n <- c(30, 30, 30)
v <- c(.5, .5, -1)
ci.lc.mean.bs(.05, m, sd, n, v)
# Should return:
# Estimate SE t df p LL UL
# Equal Variances Assumed: 7.6 1.108703 6.8549 87.00 0 5.396332 9.803668
# Equal Variances Not Assumed: 7.6 1.111135 6.8399 57.59 0 5.375484 9.824516
m <- c(33.5, 37.9, 38.0, 44.1)
sd <- c(3.84, 3.84, 3.65, 4.98)
n <- c(10, 10, 10, 10)
v <- c(.5, .5, -.5, -.5)
ci.lc.mean.bs(.05, m, sd, n, v)
# Should return:
# Estimate SE t df p
# Equal Variances Assumed: -5.35 1.300136 -4.115 36.00 0.00022
# Equal Variances Not Assumed: -5.35 1.300136 -4.115 33.52 0.00024
# LL UL
# Equal Variances Assumed: -7.986797 -2.713203
# Equal Variances Not Assumed: -7.993583 -2.706417
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.