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# function to calculate standard error based on squares
CalculateSE <- function(outputImpTest,iterations)
{
output <- outputImpTest
# calculate SE for nonFNNumbers (difference of the squares)
value <- output$nonFNNumbers["se"] - (output$nonFNNumbers["mean"])^2
output$nonFNNumbers["se"] <- sqrt(value/iterations)
# calculate SE for other benchmarks
for (i in 2:length(output)) {
value <- output[[i]][,"se"] - (output[[i]][,"mean"])^2
output[[i]][,"se"] <- sqrt(value/iterations)
}
return(output)
}
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