Plotting outcome of hospital care data,
> outcome <- read.csv("outcome-of-care-measures.csv", colClasses = "character") > outcome[, 11] <- as.numeric(outcome[, 11]) Warning message: NAs introduced by coercion > hist(outcome[, 11],xlab="30-Day Death Rate",main="Heart Attack 30-day Death Rate")
Part 2
Note: Could not get this to work.
> a<-as.numeric(outcome$Hospital.30.Day.Death..Mortality..Rates.from.Heart.Attack)
> b<-as.numeric(outcome$Hospital.30.Day.Death..Mortality..Rates.from.Heart.Failure)
> c<-as.numeric(outcome$Hospital.30.Day.Death..Mortality..Rates.from.Pneumonia)
> death_rate_range <- range(c(outcome[,17],outcome[,11],outcome[,23]), na.rm = TRUE)
>
On the forums, this is what someone suggested:
> heart_attack=na.omit(outcome[,11])
> heart_failure=na.omit(outcome[,17])
> pneumonia=na.omit(outcome[,23])
Part 3
> outcome<-read.csv("outcome-of-care-measures.csv",colClasses="character") > outcome[,11]<-as.numeric(outcome[,11]) > x<-table(outcome$State) > sub_x<-subset(x,x>=20) > sub_x_names<-names(sub_x) > outcome2<-subset(outcome,outcome$State %in% sub_x_names)