precisionMeasures: Precision measures

In superb: Summary Plots with Adjusted Error Bars

Precision measures

Description

superb comes with a few built-in measures of precisions. All SE.fct() functions produces an interval width; all CI.fct() produces the lower and upper limits of an interval. See \insertCitehtc14,htc15superb for more. "superbPlot-compatible" precision measures must have these parameters:

Usage

SE.mean(x)

CI.mean(x, gamma)

SE.median(x)

CI.median(x, gamma)

SE.hmean(x)

CI.hmean(x, gamma)

SE.gmean(x)

CI.gmean(x, gamma)

SE.var(x)

CI.var(x, gamma)

SE.sd(x)

CI.sd(x, gamma)

SE.MAD(x)

CI.MAD(x, gamma)

SE.IQR(x)

CI.IQR(x, gamma)

SE.fisherskew(x)

CI.fisherskew(x, gamma)

SE.pearsonskew(x)

CI.pearsonskew(x, gamma)

SE.fisherkurtosis(x)

CI.fisherkurtosis(x, gamma)

Arguments

x	a vector of numbers, the sample data (mandatory);
gamma	a confidence level for CI (default 0.95).

Value

a measure of precision (SE) or an interval of precision (CI).

References

\insertAllCited

Examples

# the confidence interval of the mean for default 95% and 90% confidence level
CI.mean( c(1,2,3) )
CI.mean( c(1,2,3), gamma = 0.90)

# Standard errors for standard deviation, for MAD and for fisher skew
SE.sd( c(1,2,3) )
SE.MAD( c(1,2,3) )
SE.fisherskew( c(1,2,3) )

superb documentation built on Jan. 23, 2023, 5:44 p.m.