check in some old simulation updates and a dv examples with real data

[ml_measurement_error_public.git] / simulations / summarize_estimator.R

diff --git a/simulations/summarize_estimator.R b/simulations/summarize_estimator.R
index e0e7622386ee0bd246ad0c19bb95fc8974488442..3e4209f42f4c3486a89c1499e221c297b424b643 100644 (file)
--- a/simulations/summarize_estimator.R
+++ b/simulations/summarize_estimator.R
@@ -31,8 +31,8 @@ summarize.estimator <- function(df, suffix='naive', coefname='x'){
                           var.est = var(.SD[[paste0('B',coefname,'y.est.',suffix)]]),
                           est.upper.95 = quantile(.SD[[paste0('B',coefname,'y.est.',suffix)]],0.975,na.rm=T),
                           est.lower.95 = quantile(.SD[[paste0('B',coefname,'y.est.',suffix)]],0.025,na.rm=T),
-                          mean.ci.upper = mean(.SD[[paste0('B',coefname,'y.ci.upper.',suffix)]]),
-                          mean.ci.lower = mean(.SD[[paste0('B',coefname,'y.ci.lower.',suffix)]]),
+                          mean.ci.upper = mean(.SD[[paste0('B',coefname,'y.ci.upper.',suffix)]],na.rm=T),
+                          mean.ci.lower = mean(.SD[[paste0('B',coefname,'y.ci.lower.',suffix)]],na.rm=T),
                           ci.upper.975 = quantile(.SD[[paste0('B',coefname,'y.ci.upper.',suffix)]],0.975,na.rm=T),
                           ci.upper.025 = quantile(.SD[[paste0('B',coefname,'y.ci.upper.',suffix)]],0.025,na.rm=T),
                           ci.lower.975 = quantile(.SD[[paste0('B',coefname,'y.ci.lower.',suffix)]],0.975,na.rm=T),