`boot_compare_smd.Rd`

A function to compare standardized mean differences (SMDs) between studies. This function is intended to be used to compare the compatibility of original studies with replication studies (lower p-values indicating lower compatibility).

```
boot_compare_smd(
x1,
y1 = NULL,
x2,
y2 = NULL,
null = 0,
paired = FALSE,
alternative = c("two.sided", "less", "greater"),
R = 1999,
alpha = 0.05
)
```

- x1
a (non-empty) numeric vector of data values from study 1.

- y1
an optional (non-empty) numeric vector of data values from study 1.

- x2
a (non-empty) numeric vector of data values from study 2.

- y2
an optional (non-empty) numeric vector of data values from study 2.

- null
a number indicating the null hypothesis. For TOST, this would be equivalence bound.

- paired
a logical indicating whether the SMD is from a paired or independent samples design.

- alternative
a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.

- R
number of bootstrap replicates

- alpha
alpha level (default = 0.05)

A list with class "htest" containing the following components:

"statistic": z-score.

"p.value": numeric scalar containing the p-value for the test under the null hypothesis.

"estimate": difference in SMD between studies

"conf.int": percentile (bootstrap) confidence interval for difference in SMDs

"null.value": the specified hypothesized value for the null hypothesis.

"alternative": character string indicating the alternative hypothesis (the value of the input argument alternative). Possible values are "greater", "less", or "two-sided".

"method": Type of SMD.

"data.name": "Boostrapped" to denote summary statistics were utilized to obtain results.

"smd": SMDs input for the function.

"df_ci": Data frame of confidence intervals.

"boot_res": List of bootstrapped results.

"call": the matched call.

Other compare studies:
`boot_compare_cor()`

,
`compare_cor()`

,
`compare_smd()`