smd: Standardized Mean Difference

In mbir: Magnitude-Based Inferences

Description

Provides magnitude-based inferences upon given d, p-value, and degrees of freedom. Based upon WG Hopkins Microsoft Excel spreadsheet.

Usage

smd(es, p, df, conf.int = 0.9, swc = 0.5, plot = FALSE)

Arguments

es	effect size measure (Cohen's d)
p	associated p-value from t-statistic
df	associated degrees of freedom from t-statistic
conf.int	(optional) confidence level of the interval. Defaults to 0.90
swc	(optional) number indicating smallest worthwhile change. Defaults to 0.5
plot	(optional) logical indicator specifying to print associated plot. Defaults to FALSE

Details

Refer to vignette for further information.

References

Hopkins WG. (2007). A spreadsheet for deriving a confidence interval, mechanistic inference and clinical inference from a p value. Sportscience 11, 16-20. sportsci.org/2007/wghinf.htm

Examples

smd(.75, 0.06, 20, 0.95)

Example output

   Standardized Mean Difference:
   es = 0.75
   p value = 0.06
   95% CI [-0.03, 1.53]

   Magnitude-Based Inference 

        Most Unlikely Possibly  Possibly  
        "Negative"    "Trivial" "Positive"
MBI (%) "0.2"         "25.5"    "74.3"    

Inference: Possibly Moderate Increase.

mbir documentation built on May 1, 2019, 10:11 p.m.