## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( fig.height = 4.5, fig.width = 4.5, fig.align = 'center', collapse = TRUE, comment = "#>" ) ## ----message=FALSE------------------------------------------------------------ # loads package library(sensemakr) # loads data data("darfur") ## ----------------------------------------------------------------------------- # runs regression model darfur.model <- lm(peacefactor ~ directlyharmed + village + female + age + farmer_dar + herder_dar + pastvoted + hhsize_darfur, data = darfur) ## ----echo=FALSE, comment = ""------------------------------------------------ stargazer::stargazer(darfur.model, keep = "directlyharmed", type = "text") ## ----eval=FALSE--------------------------------------------------------------- # darfur.complete.model <- lm(peacefactor ~ directlyharmed + village + female + # age + farmer_dar + herder_dar + pastvoted + hhsize_darfur + # center*wealth*political_attitudes, # data = darfur) ## ----results = 'asis'--------------------------------------------------------- # runs sensemakr for sensitivity analysis # in the darfur example darfur.sensitivity <- sensemakr(model = darfur.model, treatment = "directlyharmed", benchmark_covariates = "female", kd = 1:3, ky = 1:3, q = 1, alpha = 0.05, reduce = TRUE) ## ----------------------------------------------------------------------------- darfur.sensitivity <- sensemakr(model = darfur.model, treatment = "directlyharmed", benchmark_covariates = "female", kd = 1:3) ## ----------------------------------------------------------------------------- darfur.sensitivity ## ----results='asis'----------------------------------------------------------- ovb_minimal_reporting(darfur.sensitivity, format = "html") ## ----results='hide'----------------------------------------------------------- summary(darfur.sensitivity) ## ----------------------------------------------------------------------------- plot(darfur.sensitivity) ## ----------------------------------------------------------------------------- plot(darfur.sensitivity, sensitivity.of = "t-value") ## ----fig.width=6-------------------------------------------------------------- plot(darfur.sensitivity, type = "extreme")