Hi Monaly,
According to the description of ?tri2nb
The function uses the ‘deldir’ package to convert a matrix of
two-dimensional coordinates into a neighbours list of class ‘nb’
with a list of integer vectors containing neighbour region number
ids.
So, col.tri.nb is a list of leng
Hi Arun,
Thank you for your help, I have a few questions though if you don't mind.
I'm a bit confused about the following 2 lines of code:
col.tri.nb <- tri2nb(coords, row.names=ind)
lapply(col.tri.nb,function(x) ind[x])[1:5]
## from what I understand in the first line determines the neighbourin
Hi,
Sorry, there is a mistake. XO[2,] should be:
XO[2,] <- sapply(seq_along(col.tri.nb), function(i){ind1 <-
as.character(ind[i]); ind2 <- as.character(ind[col.tri.nb[[i]]]);
mean(abs(XO[1,ind1]-XO[1,ind2]))} )
A.K.
On Friday, May 23, 2014 12:56 PM, arun wrote:
Hi Monaly,
May be this hel
uot;91")]))
>> > > XO["avg", "94"]<-
>> > mean(abs((XO[1,"94"])-XO[1,c("73","54","95","93","185")]))
>> > > XO["avg", "163"]<-
>> > mean(abs((XO[1,"163"
"latitude (m)",
ylab="longitude (m)", wpoints="real", verbose=FALSE,num=TRUE, rw=c(0, 1200,
0, 2000))
text(ao$lat_xm, ao$long_ym,col=c(2,1,4),labels=round(ao$NestkastNummer, 3),
pos=2, offset=0.2, cex=0.7) #this was to identify the points
On Fri, May 23, 2
])-XO[1,c("176","140","133","163")]))
> > > XO["avg", "15"]<- mean(abs((XO[1,"15"])-XO[1,c("16","19","14")]))
> > > XO["avg", "60"]<- mean(abs((XO[1,"60&qu
uot;,"97","90","84","82","81")]))
> > XO["avg", "31"]<- mean(abs((XO[1,"31"])-XO[1,c("2","3","36","35","34")]))
> > XO["avg", "73"]<- mean
quot;64"]<- mean(abs((XO[1,"64"])-XO[1,c("113","62","128","124")]))
> XO["avg", "74"]<- mean(abs((XO[1,"74"])-XO[1,c("51","73","185")]))
> XO["avg", "95"]<
XO["avg", "36"]<-
mean(abs((XO[1,"36"])-XO[1,c("28","38","86","709","707","35","3")]))
XO["avg", "80"]<- mean(abs((XO[1,"80"])-XO[1,c("42","79&quo
Follow the link at the bottom of this message!
-- Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
H. Gilbert Welch
On Thu, May 22, 2014 at 8:31 AM, Monaly Mistry wrote:
> Hi,
Hi,
Sorry I'm fairly new to R and I don't really understand using dput(), when
you say reproducible example do you mean the code with the output?
Best,
Monaly.
On Thu, May 22, 2014 at 4:03 PM, arun wrote:
> Hi,
>
> It would be helpful if you provide a reproducible example using ?dput().
>
>
Hi,
I've written a code to determine the difference in score for a single
subject and its non-neighbours
o<-(ao[,c(13,5)]) ##this is the table with the relevant information
o<-na.omit(o) ##omitted data with NA
o<-o[!o$NestkastNummer %in% c(176,140,162,713),] ##removed neighbours
XO[7,1]<-abs((XO
12 matches
Mail list logo