I have a data frame with a number of observed and predicted values by
classification as shown below:
Count Volume FCLASS
1 55000 60000 Grade Separated
2 43000 39000 Grade Separated
3 26000 26500 Major Arterial
4 19500 20000 Major Arterial
...
There are four classes here: Grade Separated, Major Arterial, Minor
Arterial, and Collector
I am looking to compute the following information
FCLASS cor(Count,Volume)
Grade Separated 0.999
Major Arterial 0.999
Minor Arterial 0.999
Collector 0.999
I am attempting to use the following commands to achieve this:
library(reshape)
tmp <- melt(dataframe)
cast(tmp, FCLASS ~ variable, function(Count, Volume) cor(Count, Volume))
but this is generating: Error in is.data.frame(y) : argument "Volume"
is missing, with no default
Any suggestions?
Walter Anderson
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