Hi all;
I have a data set that I want to remove the top values above 90th
percentile from it. Any suggestions?
Thank you;
--
*Nasrin Pak, MSc*
Air Quality Scientist
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R-help@r-project.org mailing list
ndow(...) : need finite 'ylim' values
In addition: Warning messages:
1: In min(x) : no non-missing arguments to min; returning Inf
2: In max(x) : no non-missing arguments to max; returning -Inf
--
Sincerely
Nasrin Pak
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_
)
2: Reached total allocation of 502Mb: see help(memory.size)
3: Reached total allocation of 502Mb: see help(memory.size)
4: Reached total allocation of 502Mb: see help(memory.size)
--
Sincerely
Nasrin Pak
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ation.data <-read.table(x[i], header = TRUE,sep = ",", quote = " ",
dec = ".")
attach(radiation.data)
plot(i*Hour*60+Minute,PAR_avg,main="PAR",xlab="Hour",ylab="Par")
dev.print(device=postscript, "C:/graph5.eps", onefile=FALS
radiation.data <-read.table(x[i], header = TRUE,sep = ",", quote = " ",
dec = ".")
attach(radiation.data)
plot(i*Hour*60+Minute,PAR_avg,main="PAR",xlab="Hour",ylab="Par")
dev.print(device=postscript, "C:/graph5.eps", onefil
Hi;
I'm trying to use bandplot function. I've installed the gplots package but
still the function is not found in R. what's the problem?
--
Sincerely
Nasrin Pak
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R-help@r-project.o
. And then save
the new data set in a new csv file to be able to have a smaller excel data
sheet. What is the command for combining certain number of data into their
average value?
Thank you
--
Nasrin Pak
MSc Student in Environmental Physics
University of Calgary
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