lw.t.test: lw.t.test

In DACF: Data Analysis with Ceiling and/or Floor Data

lw.t.test

Description

conduct a t test adjusting for ceiling and/or floor effects

Usage

lw.t.test(x1, x2, flr1, ceil1, flr2, ceil2, method_type)

Arguments

x1	a (non-empty) numeric vector of data values for group 1 with floor/ceiling effects
x2	a (non-empty) numeric vector of data values for group 2 with floor/ceiling effects
flr1	a (non-empty) numeric value of the floor threshold for group 1
ceil1	a (non-empty) numeric value of the ceiling threshold for group 1
flr2	a (non-empty) numeric value of the floor threshold for group 2
ceil2	a (non-empty) numeric value of the ceiling threshold for group 2
method_type	a character string specifying the preferred method type. "a" uses the original sample size and "b" uses after-truncation sample size.

Value

statistic	the value of the adjusted t test statistics
p.value	the p-value for the test
est.d	effect size estimate as in Cohen's d
conf.int	95% confidence interval

Examples

x1.c=induce.cfe(0,.3,rnorm(1000,20,5)) #group 1 scores with 30% ceiling data
x2.c=induce.cfe(.15,0,rnorm(1000,30,5)) #group 2 scores with 15% floor data
lw.t.test(x1.c, x2.c, flr1=min(x1.c), ceil1=max(x1.c), flr2=min(x2.c), ceil2=max(x2.c), "a")
lw.t.test(x1.c, x2.c, flr1=min(x1.c), ceil1=max(x1.c), flr2=min(x2.c), ceil2=max(x2.c), "b")

DACF documentation built on July 17, 2026, 1:07 a.m.