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Ansley Silva

2016-Apr-18 20:33 UTC

[R] Indicator Species analysis; trouble with multipatt

Hello,

*Error in tx  %*% comb : non-conformable arguments*

Suggestions greatly appreciated.  I am a beginner and this is my first time
posting.

I would like to get the summary for indicator species analysis, using
package indicspecies with multipatt.  I am getting errors, I believe, do to
my data organization.  After reorganizing and reorganizing, nothing has
helped.
> data<- read.csv(file="Data1.csv", header=TRUE, row.names=1,
sep=",")
> ap<-data[c(1:24, 1:81)]
> groups<-c(rep(1:4,6))
> indval<- multipatt(ap, groups, control = how(nperm=999))*Error in tx  %*% comb : non-conformable arguments*



-- 
Ansley Silva


*"The clearest way into the Universe is through a forest wilderness."
John
Muir*


*Graduate Research Assistant*

Jim Lemon

2016-Apr-18 23:11 UTC

head link

[R] Indicator Species analysis; trouble with multipatt

Hi Ansley,
Without your data file (or a meaningful subset) we can only guess, but
you may be trying to define groups on the columns rather than the rows
of the data set. Usually rows represent cases and each case must have
a value for the grouping variable.

Jim


On Tue, Apr 19, 2016 at 6:33 AM, Ansley Silva <daily.puja at gmail.com>
wrote:> Hello,
>
> *Error in tx  %*% comb : non-conformable arguments*
>
> Suggestions greatly appreciated.  I am a beginner and this is my first time
> posting.
>
> I would like to get the summary for indicator species analysis, using
> package indicspecies with multipatt.  I am getting errors, I believe, do to
> my data organization.  After reorganizing and reorganizing, nothing has
> helped.
>
>> data<- read.csv(file="Data1.csv", header=TRUE,
row.names=1, sep=",")
>> ap<-data[c(1:24, 1:81)]
>> groups<-c(rep(1:4,6))
>> indval<- multipatt(ap, groups, control = how(nperm=999))
> *Error in tx  %*% comb : non-conformable arguments*
>
>
>
> --
> Ansley Silva
>
>
> *"The clearest way into the Universe is through a forest
wilderness." John
> Muir*
>
>
> *Graduate Research Assistant*
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

John Kane

2016-Apr-19 10:47 UTC

head link

[R] Indicator Species analysis; trouble with multipatt

Hi Ansely,
As Jim points out we really need some sample data to go with the code.

Have a look at ?dput which is the best way to supply sample data here or have a
look at
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
and/or http://adv-r.had.co.nz/Reproducibility.html for some general suggestions
on asking questions here---including discussions of using dput()

John Kane
Kingston ON Canada

> -----Original Message-----
> From: daily.puja at gmail.com
> Sent: Mon, 18 Apr 2016 16:33:54 -0400
> To: r-help at r-project.org
> Subject: [R] Indicator Species analysis; trouble with multipatt
> 
> Hello,
> 
> *Error in tx  %*% comb : non-conformable arguments*
> 
> Suggestions greatly appreciated.  I am a beginner and this is my first
> time
> posting.
> 
> I would like to get the summary for indicator species analysis, using
> package indicspecies with multipatt.  I am getting errors, I believe, do
> to
> my data organization.  After reorganizing and reorganizing, nothing has
> helped.
> 
>> data<- read.csv(file="Data1.csv", header=TRUE,
row.names=1, sep=",")
>> ap<-data[c(1:24, 1:81)]
>> groups<-c(rep(1:4,6))
>> indval<- multipatt(ap, groups, control = how(nperm=999))
> *Error in tx  %*% comb : non-conformable arguments*
> 
> 
> 
> --
> Ansley Silva
> 
> 
> *"The clearest way into the Universe is through a forest
wilderness."
> John
> Muir*
> 
> 
> *Graduate Research Assistant*
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
____________________________________________________________
FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!

Ansley Silva

2016-Apr-19 12:16 UTC

head link

[R] Indicator Species analysis; trouble with multipatt

Thanks for the replies.

I have fixed the problem.  I only need to reorganized my data.  Now my
question is about asking questions correctly.  I hope I've got it.  Please
find the script attached here.

R Version 3.2.2

I am looking for indicator species with Indicspecies package.  After
running the function multipatt, I get the following error:

Error in is.factor(x) : object 'groups1' not found

**Is this reproducibility satisfactory?  I fixed the problem by
reorganizing my csv file.  I was trying to be efficient when making my
groups and that was causing the trouble.

Thanks.


On Tue, Apr 19, 2016 at 6:47 AM, John Kane <jrkrideau at inbox.com> wrote:
> Hi Ansely,
> As Jim points out we really need some sample data to go with the code.
>
> Have a look at ?dput which is the best way to supply sample data here or
> have a look at
>
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
> and/or http://adv-r.had.co.nz/Reproducibility.html for some general
> suggestions on asking questions here---including discussions of using
dput()
>
> John Kane
> Kingston ON Canada
>
>
> > -----Original Message-----
> > From: daily.puja at gmail.com
> > Sent: Mon, 18 Apr 2016 16:33:54 -0400
> > To: r-help at r-project.org
> > Subject: [R] Indicator Species analysis; trouble with multipatt
> >
> > Hello,
> >
> > *Error in tx  %*% comb : non-conformable arguments*
> >
> > Suggestions greatly appreciated.  I am a beginner and this is my first
> > time
> > posting.
> >
> > I would like to get the summary for indicator species analysis, using
> > package indicspecies with multipatt.  I am getting errors, I believe,
do
> > to
> > my data organization.  After reorganizing and reorganizing, nothing
has
> > helped.
> >
> >> data<- read.csv(file="Data1.csv", header=TRUE,
row.names=1, sep=",")
> >> ap<-data[c(1:24, 1:81)]
> >> groups<-c(rep(1:4,6))
> >> indval<- multipatt(ap, groups, control = how(nperm=999))
> > *Error in tx  %*% comb : non-conformable arguments*
> >
> >
> >
> > --
> > Ansley Silva
> >
> >
> > *"The clearest way into the Universe is through a forest
wilderness."
> > John
> > Muir*
> >
> >
> > *Graduate Research Assistant*
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> ____________________________________________________________
> FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
> Check it out at http://www.inbox.com/earth
>
>
>

-- 
Ansley Silva


*"The clearest way into the Universe is through a forest wilderness."
John
Muir*


*Graduate Research Assistant*

*University of Georgia*

*D.B. Warnell School of Forestry and Natural Resources*

*180 East Green Street*

*Athens, GA 30602*
-------------- next part --------------
install.packages("indicspecies")
library(indicspecies)

mydata<-
structure(list(necsur = structure(c(6L, 1L, 1L, 4L, 4L, 2L), .Label =
c("0",
"1", "11", "2", "24", "3",
"4", "42", "5", "8", "9",
"PA"), class = "factor"),
    necame = structure(c(11L, 2L, 5L, 5L, 17L, 9L), .Label = c("0", 
    "1", "10", "11", "12",
"13", "15", "2", "20", "22",
"3",
    "4", "5", "6", "7", "8",
"9", "PA"), class = "factor"), niccar =
structure(c(1L,
    1L, 1L, 2L, 1L, 1L), .Label = c("0", "1",
"19", "2", "3",
    "4", "5", "6", "PA"), class =
"factor"), nicorb = structure(c(1L,
    18L, 19L, 17L, 1L, 27L), .Label = c("0", "1",
"10", "11",
    "12", "13", "15", "16",
"18", "19", "2", "20", "21",
"23",
    "25", "29", "3", "30",
"31", "32", "33", "36", "4",
"40",
    "42", "44", "48", "5",
"50", "6", "61", "7", "8",
"9", "PA"
    ), class = "factor"), nicpus = structure(c(1L, 1L, 1L, 1L, 
    1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    nictor = structure(c(1L, 1L, 2L, 1L, 1L, 1L), .Label = c("0", 
    "1", "10", "11", "16",
"18", "2", "22", "3", "4",
"5", "6",
    "7", "8", "9", "PA"), class =
"factor"), oicina = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1",
"15", "2", "3",
    "PA"), class = "factor"), delgib = structure(c(37L, 5L,
7L,
    11L, 11L, 43L), .Label = c("0", "1", "10",
"104", "11", "12",
    "126", "13", "14", "15",
"16", "18", "19", "2", "20",
"21",
    "22", "23", "24", "25",
"26", "27", "28", "29", "3",
"30",
    "31", "32", "33", "34",
"35", "37", "39", "4", "40",
"43",
    "5", "50", "6", "61",
"63", "65", "68", "7", "72",
"8", "81",
    "82", "97", "PA"), class =
"factor"), cancha = structure(c(1L,
    1L, 2L, 7L, 7L, 10L), .Label = c("0", "1",
"11", "12", "16",
    "17", "2", "27", "3", "4",
"5", "6", "7", "8", "9",
"PA"), class = "factor"),
    melbis = structure(c(2L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "11", "17", "18",
"2", "3", "4", "5", "6",
"8", "9",
    "PA"), class = "factor"), atelec = structure(c(1L, 1L,
1L,
    22L, 7L, 2L), .Label = c("0", "1", "10",
"11", "12", "13",
    "14", "15", "17", "174",
"18", "19", "2", "20", "21",
"23",
    "24", "27", "3", "30",
"31", "32", "34", "37", "39",
"41",
    "42", "5", "51", "6",
"61", "66", "7", "72", "76",
"77",
    "79", "8", "81", "83",
"9", "97", "PA"), class = "factor"),
    copmin = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "10", "11", "12",
"2", "3", "33", "4", "5",
"6", "7",
    "8", "PA"), class = "factor"), ontcon =
structure(c(1L, 2L,
    8L, 1L, 1L, 12L), .Label = c("0", "1", "10",
"11", "13",
    "14", "2", "3", "33", "4",
"5", "6", "7", "8", "PA"),
class = "factor"),
    ontdep = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "10", "2", "PA"), class =
"factor"), onthec = structure(c(2L,
    18L, 29L, 7L, 1L, 19L), .Label = c("0", "1",
"10", "11",
    "12", "13", "14", "141",
"143", "16", "17", "18", "19",
"2",
    "20", "21", "24", "28",
"29", "3", "30", "4", "48",
"5",
    "50", "54", "55", "6",
"7", "70", "8", "9", "PA"),
class = "factor"),
    ontstr = structure(c(1L, 2L, 1L, 3L, 1L, 1L), .Label = c("0", 
    "1", "2", "3", "4", "5",
"6", "7", "8", "PA"), class =
"factor"),
    onttau = structure(c(1L, 1L, 12L, 8L, 1L, 12L), .Label = c("0", 
    "1", "10", "104", "2",
"24", "3", "4", "5", "6",
"66", "8",
    "PA"), class = "factor"), ontpen = structure(c(1L, 1L,
8L,
    13L, 1L, 11L), .Label = c("0", "1", "11",
"12", "13", "14",
    "15", "2", "3", "34", "4",
"5", "6", "7", "8", "9",
"PA"), class = "factor"),
    onttub = structure(c(1L, 1L, 7L, 5L, 1L, 10L), .Label = c("0", 
    "1", "11", "12", "2",
"20", "3", "4", "5", "6",
"7", "PA"
    ), class = "factor"), ontsub = structure(c(1L, 1L, 1L, 1L, 
    1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    ontorp = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), phatri =
structure(c(1L, 1L,
    1L, 1L, 1L, 2L), .Label = c("0", "1", "3",
"PA"), class = "factor"),
    phaign = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "2", "PA"), class = "factor"),
phavin = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "2", "3",
"5", "PA"), class = "factor"),
    phival = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), diccar =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    diggaz = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), Phyili =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "3",
"PA"), class = "factor"),
    phyfor = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), physps =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    dippun = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), diplib =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    euehum = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), canvir =
structure(c(1L, 3L,
    3L, 1L, 1L, 2L), .Label = c("0", "1", "2",
"3", "PA"), class = "factor"),
    phycle = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "2", "PA"), class = "factor"), pseper =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    aphrus = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), hybill =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    geobla = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), geoege =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    boltho = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), braalt =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"3", "8", "PA"
    ), class = "factor"), chlery = structure(c(1L, 1L, 1L, 1L, 
    1L, 1L), .Label = c("0", "1", "3",
"PA"), class = "factor"),
    chlema = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "2", "PA"), class = "factor"),
cyclae = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1",
"PA"), class = "factor"),
    cyclev = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "2", "5", "6", "PA"),
class = "factor"), dicdil = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "3",
"PA"), class = "factor"),
    dicfur = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "2", "3", "PA"), class =
"factor"), dicpur = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1",
"PA"), class = "factor"),
    galjan = structure(c(1L, 1L, 1L, 1L, 1L, 2L), .Label = c("0", 
    "1", "2", "3", "4", "5",
"PA"), class = "factor"), carvin = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    carsyl = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), cargor =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    cyclosig = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "3", "5", "PA"), class =
"factor"), helnig = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    helcla = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), scaqua =
structure(c(1L, 1L,
    1L, 1L, 1L, 2L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    scasub = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "2", "PA"), class = "factor"), oodama =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    stemex = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "3", "PA"), class = "factor"), agoalb =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    moctet = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), pasmar =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    passub = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), apesin =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    anirus = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), calopa =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    harsps = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), copgly =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    omomon = structure(c(1L, 1L, 11L, 8L, 1L, 8L), .Label = c("0", 
    "1", "11", "12", "13",
"15", "19", "2", "3", "32",
"4", "5",
    "6", "7", "8", "9", "PA"),
class = "factor"), omosub = structure(c(1L,
    2L, 1L, 1L, 1L, 1L), .Label = c("0", "1",
"PA"), class = "factor"),
    trofov = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "14", "15", "16",
"2", "22", "3", "31", "4",
"5", "6",
    "7", "PA"), class = "factor"), trouni =
structure(c(3L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"4", "6", "8",
    "PA"), class = "factor"), trotub = structure(c(1L, 1L,
1L,
    1L, 1L, 1L), .Label = c("0", "1", "PA"), class
= "factor"),
    troaeq = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), troter =
structure(c(1L, 2L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"3", "6", "8",
    "PA"), class = "factor"), eusass = structure(c(3L, 19L,
63L,
    15L, 14L, 63L), .Label = c("0", "1", "10",
"107", "11", "12",
    "126", "13", "130", "133",
"14", "143", "15", "16", "17",
    "18", "186", "19", "2",
"20", "21", "22", "24", "25",
"26",
    "27", "28", "29", "3",
"30", "31", "32", "33", "34",
"37",
    "38", "39", "4", "42",
"43", "44", "45", "48", "49",
"5",
    "51", "53", "54", "56",
"57", "6", "64", "65", "7",
"70",
    "71", "78", "79", "8",
"82", "88", "89", "9", "93",
"98",
    "99", "PA"), class = "factor"), hiscoe =
structure(c(1L,
    2L, 15L, 1L, 1L, 2L), .Label = c("0", "1",
"10", "11", "13",
    "14", "17", "19", "2",
"23", "27", "3", "30", "4",
"43",
    "5", "6", "7", "8", "9",
"PA"), class = "factor"), hisabb = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "3",
"4", "9",
    "PA"), class = "factor"), hisfun = structure(c(1L, 1L,
1L,
    1L, 1L, 1L), .Label = c("0", "1", "PA"), class
= "factor"),
    sappen = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), saplug =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    ontnod = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), dercan =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    cremax = structure(c(23L, 1L, 1L, 1L, 1L, 18L), .Label = c("0", 
    "1", "10", "11", "12",
"13", "17", "18", "2", "23",
"24",
    "25", "28", "3", "30",
"31", "33", "4", "5", "54",
"6", "7",
    "8", "PA"), class = "factor"), plamac =
structure(c(1L, 2L,
    7L, 2L, 1L, 1L), .Label = c("0", "1", "13",
"2", "3", "4",
    "5", "6", "8", "PA"), class =
"factor"), ontcin = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    plafem = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "6", "PA"), class = "factor"),
plafos = structure(c(1L,
    1L, 1L, 2L, 1L, 2L), .Label = c("0", "1",
"11", "2", "3",
    "4", "9", "PA"), class = "factor"),
placom = structure(c(1L,
    3L, 1L, 12L, 9L, 10L), .Label = c("0", "1",
"10", "14", "2",
    "23", "3", "30", "33",
"4", "40", "45", "5", "54",
"6", "7",
    "8", "PA"), class = "factor"), placin =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    plapra = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "2", "PA"), class = "factor"), phiumb =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "2", "PA"),
class = "factor"),
    tacfim = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "2", "4", "6", "7",
"8", "PA"), class = "factor"), alesps =
structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"PA"), class = "factor"),
    tetcar = structure(c(1L, 1L, 1L, 1L, 1L, 2L), .Label = c("0", 
    "1", "3", "4", "PA"), class =
"factor"), tetvir = structure(c(1L,
    1L, 1L, 1L, 1L, 1L), .Label = c("0", "1", "2",
"5", "PA"), class = "factor"),
    cicsex = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsA =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "2", "PA"),
class = "factor"),
    spsB = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsC =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    spsD = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsE =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    spsF = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsG =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    spsH = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsI =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    spsJ = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsK =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    spsL = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), spsM =
structure(c(1L, 1L,
    1L, 1L, 1L, 1L), .Label = c("0", "1", "PA"),
class = "factor"),
    spsN = structure(c(1L, 1L, 1L, 1L, 1L, 1L), .Label = c("0", 
    "1", "PA"), class = "factor"), X = c(NA, NA,
NA, NA, NA,
    NA)), .Names = c("necsur", "necame", "niccar",
"nicorb",
"nicpus", "nictor", "oicina", "delgib",
"cancha", "melbis", "atelec",
"copmin", "ontcon", "ontdep", "onthec",
"ontstr", "onttau", "ontpen",
"onttub", "ontsub", "ontorp", "phatri",
"phaign", "phavin", "phival",
"diccar", "diggaz", "Phyili", "phyfor",
"physps", "dippun", "diplib",
"euehum", "canvir", "phycle", "pseper",
"aphrus", "hybill", "geobla",
"geoege", "boltho", "braalt", "chlery",
"chlema", "cyclae", "cyclev",
"dicdil", "dicfur", "dicpur", "galjan",
"carvin", "carsyl", "cargor",
"cyclosig", "helnig", "helcla",
"scaqua", "scasub", "oodama",
"stemex", "agoalb", "moctet", "pasmar",
"passub", "apesin", "anirus",
"calopa", "harsps", "copgly", "omomon",
"omosub", "trofov", "trouni",
"trotub", "troaeq", "troter", "eusass",
"hiscoe", "hisabb", "hisfun",
"sappen", "saplug", "ontnod", "dercan",
"cremax", "plamac", "ontcin",
"plafem", "plafos", "placom", "placin",
"plapra", "phiumb", "tacfim",
"alesps", "tetcar", "tetvir", "cicsex",
"spsA", "spsB", "spsC",
"spsD", "spsE", "spsF", "spsG",
"spsH", "spsI", "spsJ", "spsK",
"spsL", "spsM", "spsN", "X"), row.names
= c("AP1-1", "AP1-2",
"AP1-3", "AP1-4", "AP2-1", "AP2-2"),
class = "data.frame")

ap<-mydata[1:24, ]
groups<-c(rep(1:4,6))
indval1<- multipatt(ap, groups1, control = how(nperm=999))

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