Find the median and a central interval of simulated quantity of interest distributions

Find the median and a central interval of simulated quantity of interest distributions

qi_slimmer(df, qi_type = "ev", ci = 0.95)

Arguments

df

a tidy-formatted data frame of simulated quantities of interest created by zelig_qi_to_df.
qi_type

character string either ev or pv for returning the central intervals for the expected value or predicted value, respectively.
ci

numeric. The central interval to return, expressed on the (0, 100] or the equivalent (0, 1] interval.

Details

A tidy-formatted data frame with the following columns:

  • The values fitted with setx

  • qi_ci_min: the minimum value of the central interval specified with ci

  • qi_ci_median: the median of the simulated quantity of interest distribution

  • qi_ci_max: the maximum value of the central interval specified with ci

See also

zelig_qi_to_df

Examples

library(dplyr)
qi.central.interval <- zelig(Petal.Width ~ Petal.Length + Species,
             data = iris, model = "ls") %>%
             setx(Petal.Length = 2:4, Species = "setosa") %>%
             sim() %>%
             zelig_qi_to_df() %>%
             qi_slimmer()
#> How to cite this model in Zelig:
#>   R Core Team. 2007.
#>   ls: Least Squares Regression for Continuous Dependent Variables
#>   in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
#>   "Zelig: Everyone's Statistical Software," http://zeligproject.org/
#> Slimming Expected Values . . .