library(NHSRdatasets)
library(FunnelPlotR)
library(dplyr)
data("LOS_model")
model<- glm(Death ~ LOS + Age, data=LOS_model)
# Add predictions and write to data base to test database queries
LOS_model$preds <- predict(model, type="response")
mod_plot <-
LOS_model %>%
group_by(Organisation) %>%
summarise(observed = sum(Death),
predicted = sum(preds))
# install.packages("C:/Users/Christopher/Documents/R/FunnelPlotR_0.2.3.tar.gz", repos=NULL)
for (i in seq_len(ncol(medpar))) {
if (any(class(medpar[,i]) == "labelled")) {
#browser()
ind = which(class(medpar[,i])=="labelled")
attr(medpar[,i],"class")[ind] <- "labelled_ch"
}
}
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