View source: R/qualitiyMetrics.R
calculateSSMD | R Documentation |
Calculate strictly standardized mean difference (SSMD)
calculateSSMD(res, nConc = 2)
res |
Object of class MALDIassay |
nConc |
Numeric, number of top and bottom concentrations to be used to calculate the pseudo positive and negative control. |
The strictly standardized mean difference (SSMD) is a measure of effect size. It is the mean divided by the standard deviation of a difference between the positive and negative control.
\gamma=\frac{\mid\mu_n - \mu_p\mid}{\sqrt{\sigma_n^2 + \sigma_p^2}}
The SSMD can be easily be interpreted as it denotes the difference between positve and negative controls in units of standard deviation.
Numeric vector of strictly standardized mean differences (SSMD)
# see example for `fitCurve()` to see how this data was generated
data(Blank2022res)
calculateSSMD(Blank2022res, nConc = 2)
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