ci.lc.gen.bs: Confidence interval for a linear contrast of parameters in a...

In statpsych: Statistical Methods for Psychologists

Confidence interval for a linear contrast of parameters in a between-subjects design

Description

Computes the estimate, standard error, and approximate confidence interval for a linear contrast of any type of parameter (e.g., quartile, ordinal regression slope, path coefficient, G-index) where each parameter value has been estimated from a different sample. The parameter vaues are assumed to be of the same type (e.g., all unstandardized path coefficients) and their sampling distributions are assumed to be approximately normal.

Usage

ci.lc.gen.bs(alpha, est, se, v)

Arguments

alpha	alpha level for simultaneous 1-alpha confidence
est	vector of parameter estimates
se	vector of standard errors
v	vector of contrast coefficients

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimate of linear contrast

• SE - standard error of linear contrast

• LL - lower limit of confidence interval

• UL - upper limit of confidence interval

Examples

est <- c(3.86, 4.57, 2.29, 2.88)
se <- c(0.185, 0.365, 0.275, 0.148)
v <- c(.5, .5, -.5, -.5)
ci.lc.gen.bs(.05, est, se, v)

# Should return:
#      Estimate        SE       LL       UL
# [1,]     1.63 0.2573806 1.125543 2.134457

statpsych documentation built on July 9, 2023, 6:50 p.m.