Margin of Error Calculation — moecalc • iNZightMR

Computes the margin of error for various objects.

Usage

moecalc(
  x,
  factorname = NULL,
  levelnames = NULL,
  coef.idx = NULL,
  est = NULL,
  ci = NULL,
  base = TRUE,
  basename = "base",
  conf.level = 1.96
)

Arguments

x: the object for which we compute margins of error
factorname: name of factor
levelnames: names of factor levels
coef.idx: index of coefficient to use
est: estimates
ci: confidence intervals
base: baseline
basename: name of baseline
conf.level: level of confidence to use

Value

a moecalc object

Details

If x is a model, must have factorname or coefficient index (coef.idx) If input factorname, will compute ErrBars by factorname (for given model) If input coefficient index, will compute ErrBars simply by index only (even they are not factor) If x is ses.moecalc object, will compute ErrBars simply by given ses.moecalc object

Examples

fit <- lm(Sepal.Length ~ Species, data = iris)
(mc <- moecalc(fit, "Species"))
#> Warning: confidence interval of baseline is 0
#>              Est    ErrBar      compL     compU
#> setosa     0.000 0.1218864 -0.1218864 0.1218864
#> versicolor 0.930 0.1218864  0.8081136 1.0518864
#> virginica  1.582 0.1218864  1.4601136 1.7038864
summary(mc)
#> Call:
#> lm(formula = Sepal.Length ~ Species, data = iris)
#> 
#>              Est    ErrBar      compL     compU     confL    confU
#> setosa     0.000 0.1218864 -0.1218864 0.1218864 0.0000000 0.000000
#> versicolor 0.930 0.1218864  0.8081136 1.0518864 0.7282025 1.131797
#> virginica  1.582 0.1218864  1.4601136 1.7038864 1.3802025 1.783797
#> 
#> Max error betw. approx. and true moe is 0% 
plot(mc)