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 |
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.
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)
|
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