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

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 . . .