The corrected version is below. I found an error.
areaKM<-7500 #test for 7500 and 30000 dat<-data.frame(x=1:30,y=31:60,cellvalue=c(5,6,7,rep(10,10),rep(20,17)))#fake data cells<-unique(as.numeric(dat$cellvalue))#find unique cellvalues pres100km <- list() #empty list for (ii in 1:length(cells)){ #make loop to find 100km cells with at least 30% of 10km cells being within the alpha hull, #or if area of alpha hull less that 15000km2 keep all 100km2 cells where points fall subdat<-subset(dat,cellvalue ==cells[ii]) if (areaKM >= 15000) { if (nrow(subdat) < 30) { next } else { pres100km[[ii]]<-cells[ii] #100kmcells >= 30% coverage of 10kmcells } } else { if(nrow(subdat) < 5) { next } else { pres100km[[ii]]<-cells[ii] #more than 5 obs } } } On Mon, Feb 23, 2015 at 1:54 PM, Daisy Englert Duursma < daisy.duur...@gmail.com> wrote: > Hello, > I need to make a double clause in an if else/ next statement. I wrote a > single one fine but I could not make it work for two statements statements. > > Please see the following example: > > > #Goals > #1)if size of area is greater than 15000 test that there are a minimum > of nrow() = 30, > #write those with at least 30 values to list > #2) if less than 15000, write those with >= 5 rows > > # in the following example I should have a list where one has a value of > 10 and the other 20. > > > areaKM <- 7500 #test for 7500 and 30000, at 30000 should have empty list > dat<-data.frame(x=1:30,y=31:60,cellvalue=c(5,6,7,rep(10,10),rep(20,17)))#fake > data > cells<-unique(as.numeric(dat$cellvalue))#find unique cellvalues > pres100km <- list() #empty list > > #make loop to find dat$cellsvalue with at least 30 rows or if areaKM is > less than15000 keep cellvalues for those with more than 5 rows. > for (ii in 1:length(cells)){ > subdat<-subset(dat,cellvalue ==cells[ii]) > if (areaKM >- 15000) { > if (nrow(subdat) < 30) { > next > } else { > pres100km[[ii]]<-cells[ii] #100kmcells >= 30% coverage of 10kmcells > } > } else { > if (nrow(subddat) < 5) { > next > } else { > pres100km[[ii]]<-cells[ii] #100kmcells >= 50% coverage of 10kmcells > } > } > } > > > > > > > > -- > Daisy Englert Duursma > Department of Biological Sciences > Room W19F 135 > Macquarie University, North Ryde, NSW 2109 > Australia > > Tel +61 2 9850 1302 > > > -- Daisy Englert Duursma Department of Biological Sciences Room W19F 135 Macquarie University, North Ryde, NSW 2109 Australia Tel +61 2 9850 1302 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.