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Errors with Simprof for cluster significance

I can't duplicate your error. Assuming the attached document describes
your data, it works fine. I changed the code to use braycurtis instead
of euclidean, as you wanted, and it does return a warning, just as the
help file documents.

So you'll need to provide more information.


data<- structure(list(necsur = c(1L, 4L, 0L, 8L, 0L, 1L), necame = c(4L,
5L, 9L, 9L, 4L, 7L), niccar = c(1L, 1L, 1L, 2L, 1L, 4L), nicorb = c(2L,
20L, 23L, 26L, 3L, 12L), nicpus = c(0L, 0L, 1L, 0L, 0L, 0L),
    nictor = c(0L, 2L, 1L, 3L, 2L, 1L), delgib = c(10L, 31L,
    47L, 48L, 15L, 55L), cancha = c(5L, 6L, 4L, 4L, 1L, 6L),
    melbis = c(3L, 0L, 1L, 3L, 0L, 1L), atelec = c(4L, 6L, 28L,
    22L, 8L, 52L), copmin = c(0L, 0L, 1L, 1L, 0L, 1L), ontcon = c(3L,
    3L, 11L, 7L, 1L, 2L), ontdep = c(2L, 0L, 0L, 0L, 0L, 0L),
    onthec = c(17L, 15L, 9L, 6L, 6L, 2L), ontstr = c(0L, 0L,
    0L, 1L, 1L, 0L), onttau = c(20L, 13L, 6L, 2L, 0L, 2L), ontpen = c(2L,
    3L, 5L, 3L, 2L, 4L), onttub = c(2L, 3L, 4L, 1L, 1L, 0L),
    phavin = c(1L, 0L, 0L, 0L, 0L, 1L), Phyili = c(0L, 0L, 0L,
    0L, 0L, 1L), canvir = c(0L, 1L, 0L, 0L, 0L, 0L), hybill = c(1L,
    0L, 0L, 0L, 0L, 0L), cyclev = c(0L, 0L, 0L, 0L, 1L, 1L),
    galjan = c(0L, 0L, 1L, 1L, 0L, 0L), cyclosig = c(0L, 0L,
    0L, 0L, 1L, 0L), omomon = c(1L, 2L, 4L, 10L, 1L, 6L), trofov = c(1L,
    2L, 3L, 1L, 0L, 1L), trouni = c(1L, 0L, 0L, 1L, 0L, 0L),
    troter = c(0L, 1L, 1L, 0L, 0L, 0L), eusass = c(9L, 8L, 23L,
    14L, 11L, 28L), hiscoe = c(2L, 1L, 10L, 4L, 2L, 4L), hisabb = c(0L,
    0L, 0L, 0L, 2L, 0L), cremax = c(4L, 7L, 1L, 2L, 2L, 5L),
    plamac = c(1L, 0L, 3L, 2L, 2L, 2L), plafem = c(0L, 0L, 0L,
    0L, 0L, 0L), plafos = c(1L, 1L, 3L, 2L, 1L, 2L), placom = c(6L,
    3L, 3L, 10L, 13L, 7L), tacfim = c(0L, 0L, 1L, 0L, 0L, 0L)), .Names
= c("necsur",
"necame", "niccar", "nicorb", "nicpus", "nictor", "delgib", "cancha",
"melbis", "atelec", "copmin", "ontcon", "ontdep", "onthec", "ontstr",
"onttau", "ontpen", "onttub", "phavin", "Phyili", "canvir", "hybill",
"cyclev", "galjan", "cyclosig", "omomon", "trofov", "trouni",
"troter", "eusass", "hiscoe", "hisabb", "cremax", "plamac", "plafem",
"plafos", "placom", "tacfim"), row.names = c("AP-0", "AP-100",
"AP-200", "AP-300", "ST-0", "ST-100"), class = "data.frame")
+      method.cluster="average", method.distance="braycurtis",
+      method.transform="identity", alpha=0.05,
+      sample.orientation="row", const=0,
+      silent=TRUE, increment=100,
+      undef.zero=TRUE, warn.braycurtis=TRUE)
$numgroups
[1] 2

$pval
     [,1] [,2]        [,3]
[1,]   -3   -4          NA
[2,]   -6    1 0.461461461
[3,]   -1   -2          NA
[4,]   -5    3 0.905905906
[5,]    2    4 0.003003003

$hclust

Call:
hclust(d = rawdata.dist, method = method.cluster)

Cluster method   : average
Number of objects: 6


$significantclusters
$significantclusters[[1]]
[1] "ST-100" "AP-200" "AP-300"

$significantclusters[[2]]
[1] "ST-0"   "AP-0"   "AP-100"


Warning messages:
1: This version of the Bray-Curtis index does not use standardization.
2: To use the standardized version, use "actual-braycurtis".
3: See the help documentation for more information.
On Thu, Oct 6, 2016 at 8:43 PM, Ansley Silva <daily.puja at gmail.com> wrote: