Compact print method for objects of class "t_test".
Shows a one-line summary per variable with test statistic, p-value,
effect size, and sample size.
For the full detailed output, use summary().
Usage
# S3 method for class 't_test'
print(x, digits = 3, ...)Arguments
- x
An object of class
"t_test"returned byt_test.- digits
Number of decimal places to display. Default is
3.- ...
Additional arguments (not used).
Examples
result <- t_test(survey_data, life_satisfaction, group = gender)
result # compact one-line overview
#> t-Test: life_satisfaction by gender
#> t(2384.1) = -1.018, p = 0.309 , g = -0.041 (negligible), N = 2421
summary(result) # full detailed output
#> t-Test Results
#> --------------
#>
#> - Grouping variable: gender
#> - Groups compared: Male vs. Female
#> - Confidence level: 95.0%
#> - Alternative hypothesis: two.sided
#> - Null hypothesis (mu): 0.000
#>
#>
#> --- life_satisfaction ---
#>
#> Male: mean = 3.603, n = 1149.0
#> Female: mean = 3.651, n = 1272.0
#>
#> t-test Results:
#> --------------------------------------------------------------------------------
#> Assumption t_stat df p_value mean_diff conf_int sig
#> Equal variances -1.019 2419.000 0.308 -0.048 [-0.140, 0.044]
#> Unequal variances -1.018 2384.147 0.309 -0.048 [-0.140, 0.044]
#> --------------------------------------------------------------------------------
#>
#> Effect Sizes:
#> ------------
#> Variable Cohens_d Hedges_g Glass_Delta Effect_Size
#> life_satisfaction -0.041 -0.041 -0.041 negligible
#>
#>
#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05
#>
#> Effect Size Interpretation:
#> - Cohen's d: pooled standard deviation (classic)
#> - Hedges' g: bias-corrected Cohen's d (preferred)
#> - Glass' Delta: control group standard deviation only
#> - Small effect: |effect| ~ 0.2
#> - Medium effect: |effect| ~ 0.5
#> - Large effect: |effect| ~ 0.8