lw.t.test: lw.t.test

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

Description

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

Usage

lw.t.test(x1, x2, 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
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,"a") #using truncated n
lw.t.test(x1.c,x2.c,"b") #using original n

DACF documentation built on May 2, 2019, 8:16 a.m.