dep.t.test: A t-test with dependent samples using individual data:... In rpsychi: Statistics for psychiatric research

Description

`dep.t.test` conducts a t-test with dependent samples using individual data.

Usage

 ```1 2``` ``` dep.t.test(formula, data, block, sig.level=.05, digits=3) ```

Arguments

 `formula` two-sided formula; the left-hand-side of which gives one dependent variable containing a numeric variable, and the right-hand-side of one independent variable containing a factor with two levels `data` a data frame contains the variables in the `fomrmula` `block` a character string specify the blocking variable `sig.level` a numeric contains the significance level (default 0.05) `digits` the specified number of decimal places (default 3)

Details

This function conducts a t-test with dependent samples using individual data.

Value

The returned object of `dep.t.test.second` contains the following components:

 `samp.stat` returns the means, standard deviations, sample size, and correlation `raw.difference` returns a raw mean difference, its' confidence interval, and standard error `standardized.difference` returns a standardized mean difference (Hedges's g) and its' approximate confidence interval for a population standardized mean difference

Author(s)

Yasuyuki Okumura
Department of Social Psychiatry,
National Institute of Mental Health,
National Center of Neurology and Psychiatry
[email protected]

References

Kline RB (2004) Beyond significance testing: Reforming data analysis methods in behavioral research. Washington: American Psychological Association.

`dep.t.test.second`
 ```1 2 3 4 5 6 7``` ``` ##Kline (2004) Table 4.4 dat <- data.frame(y = c(9,12,13,15,16,8,12,11,10,14), x = rep(factor(c("a","b")), each=5), subj = rep(paste("s", 1:5, sep=""), times=2) ) dep.t.test(y~x, block="subj", data=dat) ```