On Aug 20, 2012, at 9:22 AM, Rich Shepard wrote:
On Thu, 16 Aug 2012, David L Lorenz wrote:
The cenboxplot function uses cenros to estimate the censored
values. The
cenros function requires at least 2 uncensored observations to be
able to
do the regression. The cenros function does issue a warning when
there are
more than 80% censored data, but that is suppressed in cenboxplot.
There must be something other than > 2 uncensored observations in
my data
that prevent cenboxplot from functioning. For example, dissolved
arsenic
concentrations have 578 total observations. Of these, 180 (31.14%) are
censored and 398 are uncensored. Both number of uncensored
observations and
the percentage of censored observations appear to be well within
plotable
limits, but cenboxplot() returns this error:
cenboxplot(as.d$quant, as.d$ceneq1, as.d$era, range=1.5,
main='Dissolved
Arsenic', ylab='Concentration (mg/L)', xlab='Time Period')
Error in if ((length(obs[censored])/length(obs)) > 0.8) { :
missing value where TRUE/FALSE needed
I would like to understand how the function obtains a censored
ratio > 0.8
when it is actually 0.3114.
I see no evidence from what you have posted that the function "obtains
a censored ratio > 0.8". The error messages says there were missing
values. You might consider looking at :
table(Q=is.na(as.d$quant), CE=is.na(as.d$ceneq1), ERA=as.d$era)
My guess is that this test is failing for one or more categories of
as.d$era.
Displaying the data frame, as.d, has a logical TRUE or FALSE for
each row;
it can be provided if needed.
You could use dput() and post through Nabble, which would let people
download if they were interested. Seems on the large size to be
considered "minimal" .
--
David Winsemius, MD
Alameda, CA, USA
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