`.report_effectsize_ttest` called without proper `table`

[fkohrt]

Describe the bug

Within report_effectsize.htest(), .report_effectsize_ttest() is called by passing a table object – except there is no such object in the scope of report_effectsize.htest(), making it refer to base::table().

To Reproduce

report/R/report.htest.R

Lines 40 to 54 in 69e8c5f

	report_effectsize.htest <- function(x, ...) {
	dot_args <- list(...)
	model_info <- dot_args$model_info
	if (is.null(model_info)) {
	model_info <- suppressWarnings(insight::model_info(x, verbose = FALSE))
	}
	# remove arg, so dots can be passed to effectsize
	dot_args[["model_info"]] <- NULL
	# For t-tests ----------------
	if (model_info$is_ttest) {
	out <- .report_effectsize_ttest(x, table, dot_args)
	}

[rempsyc]

Did you experience an instance where this led to an error, or was this just an observation? Do you have a reprex?

[rempsyc]

E.g., the following seems to work:

library(report)
packageVersion("report")
#> [1] '0.6.1.5'

# T-test effect sizes
t_result <- t.test(iris$Sepal.Width, iris$Sepal.Length)
report_effectsize(t_result)
#> Effect sizes were labelled following Cohen's (1988) recommendations. 
#> 
#> large (Cohen's d = -4.21, 95% CI [-4.66, -3.76])

# Correlation effect sizes  
cor_result <- cor.test(iris$Sepal.Width, iris$Sepal.Length)
report_effectsize(cor_result)
#> Effect sizes were labelled following Funder's (2019) recommendations. 
#> 
#> small (r = -0.12, 95% CI [-0.27, 0.04])

# Chi-squared effect sizes
chisq_result <- chisq.test(table(mtcars$vs, mtcars$am))
report_effectsize(chisq_result)
#> Effect sizes were labelled following Funder's (2019) recommendations. 
#> 
#> tiny (Adjusted Cramer's v = 0.00, 95% CI [0.00, 1.00])

^{Created on 2025-09-21 with reprex v2.1.1}