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2010 Mar 06
1
Plotting Comparisons with Missing Data
...the performance of 4 algorithms. The columns are the name of the algorithm, the problem instance and the resulting score on that problem (if it wasn't solved I mark that with NA). solver instance result A prob1 40 B prob1 NA C prob1 39 D prob1 35 A prob2 100 B prob2 50 C prob2 NA D prob2 NA A prob3 75 B prob3 80 C prob3 60 D prob3 70 A prob4 80 B prob4 NA C prob4 85 D prob4 75 I've managed to read in the data as follows: data <- table.read("./test.txt", header = TRUE, colClasses = c("factor","factor","numeric"), na.strings = c("NA")) a...