Dear all, i want to know if in R exist a method that give a logarithm
interpolation of a two columns of dates. I try to do the lm of logarithm of
the dates:
a<-lm(log(vettore)~log(as.numeric(pippo2[3,])))
but this is a
linear correlation and not that i want.
thanks
giuseppe
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Dear all can you help me? i have this problem: i have a dataset in a text file
in a matrix of 3 columns: x, y, z where x and y are the coordinates and Z are
the mesurements. How can i do a variogram with R?
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Dear all, I have a database x,y,value imported in R with read.table:
dati<-
read.table("dati.dat")
value is a categorical data (land use) and i want to
plot in the same colour the same land use. It is possible with R. Thanks a lot
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R-help@r-project.
I used points graphic (geoR) in this way:
points(zn,pt.divide=c("quintiles"),
main="Location map of Zn",lambda=1,col="gray",yl="coord y",xl="coord x",x.leg=0.
3, y.leg=5.5,dig.leg=2,cex.min=0.5,cex.max=1,)
Can I reduce legend characters
(a sort of cex)?
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Dear all, excuse me for my simple questions: i had imported with read table a
database with x, y,value and i must do variogram with gstat.
can someone tell me how to do it? I read the help but I could not
to obtain variogram,
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Dear all, i have my dataset (x,y,zvalue) and I will change tollerance in lag
and in angle of the variogram.
I usa gtat and variogram. What I must change for
the lag: width o cutoff?And for the angle tollerance?
This is that i have:
dati<-read.table("a.dat")
coordx<-dati[,1]
coordy<-dati[,2]
Ciao a tutti ho appena iniziato ad utilizzare R per ora per attuare un'analisi
geostatistica di dati. Volevo sapere come poter creare un oggetto gstat
partendo da un file testo(che ho gia importato con read.table)e che contiene 3
colonne: x,y,value. Mi servirebbe far questo per costruire un var
dear all i have this dataset: x,y, datavalue
> dati[,c(1,2,5)]
[,1] [,
2] [,3]
[1,] 2.386 3.077 1.740
[2,] 2.544 1.972 1.335
[3,] 2.807 3.347
1.610
[4,] 4.308 1.933 2.150
[5,] 4.383 1.081 1.565
[6,] 3.244 4.519
1.145
[7,] 3.925 3.785 0.894
[8,] 2.116 3.498 0.525
[9,]
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