Description Usage Arguments Details Value Examples
View source: R/parametricmeasures.R
Calculates the withincase standardized mean difference effect size index
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A_data 
vector of numeric data for A phase. Missing values are dropped. 
B_data 
vector of numeric data for B phase. Missing values are dropped. 
condition 
vector identifying the treatment condition for each observation in the series. 
outcome 
vector of outcome data for the entire series. 
baseline_phase 
character string specifying which value of

improvement 
character string indicating direction of improvement. Default is "increase". 
std_dev 
character string controlling how to calculate the standard
deviation in the denominator of the effect size. Set to 
bias_correct 
logical value indicating whether to use biascorrection
(i.e., Hedges' g). Default is 
confidence 
confidence level for the reported interval estimate. Set to

The standardized mean difference parameter is defined as the difference between the mean level of the outcome in phase B and the mean level of the outcome in phase A, scaled by the withincase standard deviation of the outcome in phase A. The parameter is estimated using sample means and sample standard deviations and (optionally) making a smallsample correction.
By default, the scaling factor is estimated using the sample standard
deviation in phase A (the baseline phase) only. Set std_dev = "pool"
to use the sample standard deviation pooled across both phases. Hedges'
(1981) smallsample bias correction is applied by default.
A list containing the estimate, standard error, and confidence interval.
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