print.summary.jt

Prints the formatted summary of an <code>jt</code> object to the console.

functions

Performs one-way tests in independent groups designs including homoscedastic and heteroscedastic tests. These are one-way analysis of variance (ANOVA), Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test, James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test, Johansen F test, Generalized tests equivalent to Parametric Bootstrap and Fiducial tests, Alvandi's F test, Alvandi's generalized p-value, approximate F test, B square test, Cochran test, Weerahandi's generalized F test, modified Brown-Forsythe test, adjusted Welch's heteroscedastic F test, Welch-Aspin test, Permutation F test. The package performs pairwise comparisons and graphical approaches. Also, the package includes Student's t test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots (Dag et al., 2018, <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).

Osman Dag

onewaytests

One-Way Tests in Independent Groups Designs

Merve Kasikci

Anil Dolgun

Sam Weerahandi

Malwane Ananda

print.summary.jt function

<dl> <dt>x</dt>
<dd>An object returned by <code>summary.jt()</code>.</dd> <dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Author

Print Method for Summary of James Second Order Test Results — print.summary.jt

<dl>

 <dt>x</dt>
<dd>An object returned by <code>summary.jt()</code>.</dd>

 <dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

print.summary.jt: Print Method for Summary of James Second Order Test Results

Description

Usage

Arguments

Author

See Also

Examples