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Add Up Partial Confidence Intervals to a Total CI

Source: R/sumCI.R
sumCI.Rd

Starting with a response variable that obtains different confidence intervals (CI) when calculated with different explanatory variables, all the values of the response variable should be added up. This function returns the CI for the sum.

Usage

sumCI(x)

Arguments

x

a matrix with 3 columns, containing the estimate in the first column followed by the lower and the upper confidence interval .

Value

A named numeric vector with elements:

est

point estimate, sum(x).

lci

lower confidence interval bound.

uci

upper confidence interval bound.

References

https://stats.stackexchange.com/questions/223924/how-to-add-up-partial-confidence-intervals-to-create-a-total-confidence-interval

See also

binomCI()

Other ci.location: meanCI(), meanCIn(), meanDiffCI(), medianCI(), quantileCI()

Examples

x <- do.call(rbind, 
             tapply(bedrock::Pizza$delivery_min, 
                    bedrock::Pizza$area, meanCI))
sumCI(x)
#>      est      lci      uci 
#> 78.47279 76.79179 80.15379