groceryheist/ml_measurement_error_overleaf
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fix to bring back A1 plot

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Nathan TeBlunthuis
2023-03-06 10:42:05 -08:00
parent 764788bb2a
commit aaff514ee5
4 changed files with 2 additions and 2 deletions
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remember_grid_sweep.RDS
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resources/real_data_example.R
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@@ -62,7 +62,7 @@ plot.cc.example <- function(datalist, name, varnames=NULL, varorder=NULL, includ
df[,Model:= factor(gsub('\\.',' ', Model), levels=rev(model.names))] df[,Model:= factor(gsub('\\.',' ', Model), levels=rev(model.names))]
df <- df[Model %in% include.models] df <- df[Model %in% include.models]
rename_models <- list("Automatic Classification"="Automated Classifications", "All Annotations"="Manual Annotations") rename_models <- list("Automatic Classification"="Automated Classifications", "All Annotations"="Manual Annotations", "Annotation Sample"="Annotation Sample","Error Correction"="Error Correction")
df <- df[, Model := factor(rename_models[as.character(df$Model)],levels=rev(unique(rename_models[model.names])))] df <- df[, Model := factor(rename_models[as.character(df$Model)],levels=rev(unique(rename_models[model.names])))]
p <- ggplot(df[variable != "Intercept"], aes(y = Estimate, x=Model, ymax=LowerCI, ymin=UpperCI, group=variable)) p <- ggplot(df[variable != "Intercept"], aes(y = Estimate, x=Model, ymax=LowerCI, ymin=UpperCI, group=variable))

2
resources/robustness_check_plots.R
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@@ -199,7 +199,7 @@ plot.robustness.3.dv <- function(iv, n.annotations=100, n.classifications=1000){
grid.draw(p) grid.draw(p)
} }
plot.robustness.4.iv <- function(iv, n.annotations=100, n.classifications=1000){ plot.robustness.4.iv <- function(iv, n.annotations=200, n.classifications=5000){
r <- readRDS('robustness_4.RDS') r <- readRDS('robustness_4.RDS')
robust_df <- data.table(r[['robustness_4']]) robust_df <- data.table(r[['robustness_4']])

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robustness_4.RDS
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