.8.0/lib/R/library/spatstat/libs/spatstat.so: symbol
__gxx_personality_v0: referenced symbol not found
Error in library(spatstat) : .First.lib failed for 'spatstat'
>
Regards,
/M
Roger Bivand <[EMAIL PROTECTED]>
2008-11-20 13:33
Sänd svar till
[EMAIL PROTECTED]
Till
Mikael
Hello!
I'm running R2.8.0 , Solaris and a Sparc machine
Get the following error, and don't know what to do...
Regards,
Mikael
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Hi, First, thanks for all help so far...but I still have some problems.Here is the code:cumark <- read.table("k:/test/helamarkcu.txt", header=T, sep = ";")memory.limit(size = 1897) attach(cumark)vew <- as.vector(ew)vns <- as.vector(ns)vcu <- as.vector(cu)fcumark <- data.frame(vew, vns, vcu)coord
Dear readers,
I have one file look like
ew;ns;cu;zn
1234567;7654321;23.4;13.7
name indata
load with read.table command
another file look like
2;cu;zn
name parmlst
also load with read.table
I want to do as follows
cu.v <- as.vector(cu)
zn.v<- as.vector(zn)
but using a for loop, like
for (i in
Hi,
A little bit more info about my problems...
R version and OS:
R 2.4.1 on WinXP
Loaded packages:
library(akima)
library(class) #The VR package
library(fBasics)
library(fSeries)
library(fMultivar)
library(fields)
library(geoR)
library(gstat)
library(lattice)
library(locfit)
library(mapdata)
libr
Hi!
I got the following
The instruction at "0x002c" referenced memory at "0x002c". The
memory could not be "read"
Any clue?
Regards,
Mikael
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Hi,
Uniras has a nice interpolation routin that is build on Akimas ideas (a
set of irregularty distrubated data points to a regular grid of points).
The akima package, is quite close but I missing some variables to adjust
my data (or the look of my output grid).
In uniras the gridding is done i
Hi,
Been testing interp from akima package but I wish more possibility to
influence
smoothness and also how many surrounding points that are considered in
each interpolated point.
Someone who has a tip on a good function?
/Mikael
[[alternative HTML version deleted]]
Hello!
I have a text file that looks like
ew;ns;cures
1394180;6200295;48
1398190;6201020;52
1399690;6200420;59
1395780;6205105;84
1397820;6206590;50
1395290;6208305;46
1394995;6210370;114
1399475;6213715;92
1410825;6214870;48
and so on
I manage to interpolate with
sn8.interpold <- interp.old