Description Usage Arguments Value Examples
conduct a t test adjusting for ceiling and/or floor effects
1 | lw.t.test(x1, x2, method_type)
|
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. |
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 |
1 2 3 4 | 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
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