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

Description Usage Arguments Details Value Author(s) References See Also Examples

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

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

`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)

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

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

Yasuyuki Okumura
Department of Social Psychiatry,
National Institute of Mental Health,
National Center of Neurology and Psychiatry
yokumura@blue.zero.jp

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

dep.t.test.second

 
##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)