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The standard error expressed as a percentage of the estimate, se / estimate * 100. A common rule of thumb treats an RSE below ~5% as very good precision.

Usage

rse(estimate, se)

Arguments

estimate

The point estimate (mean or proportion).

se

Its standard error, on the same scale as estimate.

Value

The relative standard error, in percent.

Details

Dividing the standard error by the estimate makes precision comparable across measures on different scales (a 1–5 rating vs a percentage). A common rule of thumb treats an RSE under ~5% as very good precision, which is the threshold diagnose() uses for its precision flag.

Examples

rse(estimate = 4.1, se = se_mean(c(4, 5, 3, 4, 5)))
#> [1] 9.125994