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PerformanceAnalytics (version 0.9.5)

mean.utils: calculate attributes relative to the mean of the observation series given, including geometric, stderr, LCL and UCL

Description

ll{ mean.geometric geometric mean mean.stderr standard error of the mean (S.E. mean) mean.LCL lower confidence level (LCL) of the mean mean.UCL upper confidence level (UCL) of the mean }

Usage

mean.geometric(x, ...)
mean.stderr(x, ...)
mean.UCL(x,  ci = 0.95, ...)
mean.LCL(x,  ci = 0.95, ...)

Arguments

x
a vector, matrix, data frame, or time series to calculate the modified mean statistic over
ci
the confidence interval to use
...
any other passthru parameters

Value

  • numeric value for the mean function called

See Also

sd mean

Examples

Run this code
data(edhec)
mean.geometric(edhec[,"Funds.of.Funds"])
mean.stderr(edhec[,"Funds.of.Funds"])
mean.UCL(edhec[,"Funds.of.Funds"])
mean.LCL(edhec[,"Funds.of.Funds"])

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