print.ttests2s.mv {smsets} | R Documentation |
Prints multiple two-sample t-tests for a multivariate data set
Description
Prints the results produced by ttests2s.mv
, consisting
of two-sample t-tests on more than one response vector with corrected
significance levels for multiple comparisons, as offered by p.adjust
.
Effects sizes are also displayed.
Usage
## S3 method for class 'ttests2s.mv'
print(x, ...)
Arguments
x |
an object of class |
... |
further arguments passed to or from other methods. |
Value
An annotated output of multiple two-sample t-tests on more than one
response vector with (optionally) corrected significance levels. The argument
x
, invisibly, as for all print methods, is a list of class
"ttests2s.mv
". This print
method provides a user-friendly display
of particular elements in x
:
A description of the analysis.
The data frame analyzed.
The labels of the two-level group factor (samples), with an order determined by the user in the
ttests2s.mv
argumentlevel1
.The t-test results for each response variable; these include:
The variable name.
Sample means and variances classified by group levels.
The value of the t-statistic, the degrees of freedom and the p-value.
Effect sizes: raw and Hedge's (1981). The units of raw effect sizes are shown according to the argument
unit =
inttests2s.mv
.
The type of alternative hypothesis for all tests.
The method of significance level adjustment for multiple comparisons used.
References
Hedges, L. V. 1981. Distribution theory for Glass’s estimator of effect size and related estimators. Journal of Educational Statistics 6(2): 107–128.
Examples
data(sparrows)
ttests.sparrows <- ttests2s.mv(sparrows, group = Survivorship, level1 = "S",
var.equal = TRUE, P.adjust = "holm",
unit = "mm")
print(ttests.sparrows)