Hi:
I have been able to finally crunch my data by
importing it by week(thank you all for your help),but
here we go again..
Now I'am trying to do it for the the whole year.
Since the
dataset is huge I'm only making a 3 weeks dataframe.
- I want to get the mean of pd by week
- I want to count the number of days by week and bind
it to the existing dataframe(x)
- I want to remove the NA's by week and bind another
column counting the rows after the NA's are removed.
Don't think that I'am crazy but I need those fields
for my annual report. I was trying to use some of
the functions below but nothing seems to work..One
of these days I'll be an R pro(we'll see about that)
Thanks
week<-c(28,28,28,28,28,28,28,29,29,29,29,29,29,29,30,30,30,30,30,30,30)
td<-c(0.015,0.012,NA,0.015,NA,0.014,0.014,0.013,0.013,0.013,0.013,NA,0.010,0.013,0.015,0.011,0.014,0.014,0.014,0.014,0.016)
pd<-c(0,0,NA,80,NA,45,223,228,224,488,525,NA,80,417,413,373,914,213,651,521,979)
x<-data.frame(week,td,pd)
x
pmean<- tapply(x[,3], x$week, mean)
pdmean
pdmean<- data.frame(pmean)
pdmean
xweek <- aggregate(x, list(x$week), mean)
xweek
Felipe D. Carrillo
Fishery Biologist
Department of the Interior
US Fish & Wildlife Service
California, USA
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