On 07/11/2012 05:54 AM, Rich Shepard wrote:
Before reading water chemistry into a data frame I removed all missing
data. Yet when I try to run cenros() to summarize a specific chemical I get
an error that I do not understand:
with( subset(chem, param=='Ag'), cenros(quant,ceneq1) )
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
NA/NaN/Inf in 'y'
I would like to learn what I did incorrectly so I can avoid these errors
in the future.
The data frame structure is
str(chem)
'data.frame': 120309 obs. of 8 variables:
$ site : Factor w/ 65 levels ";Influent","D-1",..: 2 2 2 2 2 2 ...
$ sampdate: Date, format: "2007-12-12" "2007-12-12" ...
$ preeq0 : logi TRUE TRUE TRUE TRUE TRUE TRUE ...
$ param : Factor w/ 37 levels "Ag","Al","Alk_tot",..: 1 2 8 17 3 9 ...
$ quant : num 0 0.106 1 231 231 0.011 0 0.002 0 100 ...
$ ceneq1 : logi FALSE FALSE TRUE FALSE FALSE FALSE ...
$ floor : num 0 0.106 0 231 231 0.011 0 0 0 100 ...
$ ceiling : Factor w/ 3909 levels "0.000","0.000)",..: 1 116 841 1771 ...
I ran dput() on the data frame but cannot make sense of the output (a 5.5M
ASCII text file).
Hi Rich,
I don't have the NADA package, but I suspect that the cenros function is
doing something like dividing by zero. With that much data, it may be
hard to pinpoint where this is occurring. I would cut my data in half,
run it, cut the remainder in half, run it and so on until the error goes
away. With any luck, the last slice of data that was removed won't be
too large to work out which value is causing the problem and what the
problem is.
Jim
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