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
____________________________________________________________________________________
Be a better friend, newshound, and
cbind and mean by week
2 messages · Felipe Carrillo, jim holtman
Is this what you want? You have to add "na.rm=TRUE" to the calculations:
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
week td pd 1 28 0.015 0 2 28 0.012 0 3 28 NA NA 4 28 0.015 80 5 28 NA NA 6 28 0.014 45 7 28 0.014 223 8 29 0.013 228 9 29 0.013 224 10 29 0.013 488 11 29 0.013 525 12 29 NA NA 13 29 0.010 80 14 29 0.013 417 15 30 0.015 413 16 30 0.011 373 17 30 0.014 914 18 30 0.014 213 19 30 0.014 651 20 30 0.014 521 21 30 0.016 979
pmean<- tapply(x[,3], x$week, mean, na.rm=TRUE) pmean
28 29 30 69.6000 327.0000 580.5714
pdmean<- data.frame(pmean) pdmean
pmean 28 69.6000 29 327.0000 30 580.5714
xweek <- aggregate(x, list(x$week), mean, na.rm=TRUE) xweek
Group.1 week td pd 1 28 28 0.0140 69.6000 2 29 29 0.0125 327.0000 3 30 30 0.0140 580.5714
On Tue, Mar 25, 2008 at 10:18 PM, Felipe Carrillo
<mazatlanmexico at yahoo.com> wrote:
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
____________________________________________________________________________________ Be a better friend, newshound, and ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve?