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
[[alternative HTML version deleted]]
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$cellvalue))#find unique cellvalues
pres100km <- list() #empty list
for (ii in 1:length(cells)){ #make loop to find 100km cells with at least
30% of 10km cells being within the alpha hull,
#or if area of alpha hull less that 15000km2 keep all 100km2 cells where
points fall
subdat<-subset(dat,cellvalue ==cells[ii])
if (areaKM >= 15000) {
if (nrow(subdat) < 30) {
next
} else {
pres100km[[ii]]<-cells[ii] #100kmcells >= 30% coverage of 10kmcells
}
} else {
if(nrow(subdat) < 5) {
next
} else {
pres100km[[ii]]<-cells[ii] #more than 5 obs
}
}
}
On Mon, Feb 23, 2015 at 1:54 PM, Daisy Englert Duursma <
daisy.duursma at gmail.com> wrote:
> Hello,
> I need to make a double clause in an if else/ next statement. I wrote a
> single one fine but I could not make it work for two statements statements.
>
> Please see the following example:
>
>
> #Goals
> #1)if size of area is greater than 15000 test that there are a minimum
> of nrow() = 30,
> #write those with at least 30 values to list
> #2) if less than 15000, write those with >= 5 rows
>
> # in the following example I should have a list where one has a value of
> 10 and the other 20.
>
>
> areaKM <- 7500 #test for 7500 and 30000, at 30000 should have empty list
>
dat<-data.frame(x=1:30,y=31:60,cellvalue=c(5,6,7,rep(10,10),rep(20,17)))#fake
> data
> cells<-unique(as.numeric(dat$cellvalue))#find unique cellvalues
> pres100km <- list() #empty list
>
> #make loop to find dat$cellsvalue with at least 30 rows or if areaKM is
> less than15000 keep cellvalues for those with more than 5 rows.
> for (ii in 1:length(cells)){
> subdat<-subset(dat,cellvalue ==cells[ii])
> if (areaKM >- 15000) {
> if (nrow(subdat) < 30) {
> next
> } else {
> pres100km[[ii]]<-cells[ii] #100kmcells >= 30% coverage of
10kmcells
> }
> } else {
> if (nrow(subddat) < 5) {
> next
> } else {
> pres100km[[ii]]<-cells[ii] #100kmcells >= 50% coverage of
10kmcells
> }
> }
> }
>
>
>
>
>
>
>
> --
> Daisy Englert Duursma
> Department of Biological Sciences
> Room W19F 135
> Macquarie University, North Ryde, NSW 2109
> Australia
>
> Tel +61 2 9850 1302
>
>
>
--
Daisy Englert Duursma
Department of Biological Sciences
Room W19F 135
Macquarie University, North Ryde, NSW 2109
Australia
Tel +61 2 9850 1302
[[alternative HTML version deleted]]
Dear Daisy,
You are making things too complicated. There is no need for a loop and a
nested if structure.
areaKM <- 7500
dat <- data.frame(
x = 1:30,
y = 31:60,
cellvalue = c(5, 6 , 7, rep(10, 10), rep(20, 17))
)#fake
if(areaKM > 15000){
treshold <- 30
} else {
treshold <- 5
}
n.cells <- table(dat$cellvalue)
names(n.cells)[n.cells >= treshold]
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to say
what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey
2015-02-23 4:35 GMT+01:00 Daisy Englert Duursma <daisy.duursma at
gmail.com>:
> 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$cellvalue))#find unique cellvalues
> pres100km <- list() #empty list
>
> for (ii in 1:length(cells)){ #make loop to find 100km cells with at least
> 30% of 10km cells being within the alpha hull,
> #or if area of alpha hull less that 15000km2 keep all 100km2 cells where
> points fall
> subdat<-subset(dat,cellvalue ==cells[ii])
> if (areaKM >= 15000) {
> if (nrow(subdat) < 30) {
> next
> } else {
> pres100km[[ii]]<-cells[ii] #100kmcells >= 30% coverage of
10kmcells
> }
> } else {
> if(nrow(subdat) < 5) {
> next
> } else {
> pres100km[[ii]]<-cells[ii] #more than 5 obs
> }
> }
> }
>
>
>
> On Mon, Feb 23, 2015 at 1:54 PM, Daisy Englert Duursma <
> daisy.duursma at gmail.com> wrote:
>
> > Hello,
> > I need to make a double clause in an if else/ next statement. I wrote
a
> > single one fine but I could not make it work for two statements
> statements.
> >
> > Please see the following example:
> >
> >
> > #Goals
> > #1)if size of area is greater than 15000 test that there are a
minimum
> > of nrow() = 30,
> > #write those with at least 30 values to list
> > #2) if less than 15000, write those with >= 5 rows
> >
> > # in the following example I should have a list where one has a value
of
> > 10 and the other 20.
> >
> >
> > areaKM <- 7500 #test for 7500 and 30000, at 30000 should have empty
list
> >
>
dat<-data.frame(x=1:30,y=31:60,cellvalue=c(5,6,7,rep(10,10),rep(20,17)))#fake
> > data
> > cells<-unique(as.numeric(dat$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]]
>
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