Displaying 4 results from an estimated 4 matches for "kdist".
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dist
2007 Apr 11
1
Function knn.dist from knnflex library
...as.vector.dist(x, "character") : unused argument(s) ("character")
>
Second example (taken from the examples section of knn.dist help page):
> x1 <- c(rnorm(20,mean=1),rnorm(20,mean=5))
> x2 <- c(rnorm(20,mean=5),rnorm(20,mean=1))
> x <- cbind(x1,x2)
> kdist <- knn.dist(x)
Error in as.vector.dist(x, "character") : unused argument(s) ("character")
>
Am I doinhg something wrong? I can't understand. Any help is very much
appreciated. Thanks in advance.
Jo?o Moreira
2004 Apr 22
0
ade4 package update
...coffier et al. analysis of molecular variance
with tests of the difference among the factors (amova).
- functions introducing double principal coordinate analysis (dpcoa).
- genet class and related functions to analyse genetic data (tables with
populations in rows and alleles/loci in columns).
- kdist class and related functions to analyse series of distance matrices
measured on the same individuals.
- rlq analysis, a three-tables ordination method, with permutation test (rlq)
- hill-smith analysis, a row-weighted version of dudi.mix (dudi.hillsmith)
- function ktab.match2ktabs, to prepare a...
2004 Apr 22
0
ade4 package update
...coffier et al. analysis of molecular variance
with tests of the difference among the factors (amova).
- functions introducing double principal coordinate analysis (dpcoa).
- genet class and related functions to analyse genetic data (tables with
populations in rows and alleles/loci in columns).
- kdist class and related functions to analyse series of distance matrices
measured on the same individuals.
- rlq analysis, a three-tables ordination method, with permutation test (rlq)
- hill-smith analysis, a row-weighted version of dudi.mix (dudi.hillsmith)
- function ktab.match2ktabs, to prepare a...
2010 Jan 07
1
Mantel results shown in a graphical (histogram) form.
I am new at 'R' and not even sure whether I am contacting the appropriate
forum!! However, I have carried out several mantel tests (using 'R') on
genetic data and would like to plot the results in the form of a histogam of
the distribution - and preferably use a procedure that shows the critical
'r' value.
The tail end of my analysis is shown below. I just need help to dig