Re: [R-sig-eco] Help plotting time series from multiple years?
Hi Raphael, Not sure about lattice but the ggplot2 packge has some straight forward examples. see bottom figure on this page http://had.co.nz/ggplot2/scale_date.html plus http://had.co.nz/ggplot2/scale_datetime.html Dates need to be POSIXct ?POSIXct HTH Darren -- Message: 2 Date: Sat, 23 Apr 2011 11:06:47 -0700 From: Raphael Mazor To: r-sig-ecology@r-project.org Subject: [R-sig-eco] Help plotting time series from multiple years? Message-ID: <4db31537.1020...@sccwrp.org> Content-Type: text/plain; charset=ISO-8859-1; format=flowed I would like to make a lattice plot of a variable by date from multiple years, where each panel is a different station, and each year is represented by a different line color. My data look something like this: StationDateScore Site15/19/2009552 Site16/23/2009578 Site18/5/2009604 Site19/15/2009618 Site14/13/2010610 Site15/11/2010618 Site16/15/2010118 Site17/20/2010592 Site19/1/2010590 Site25/18/2009628 Site26/22/2009590 Site28/4/2009628 Site29/16/2009610 Site210/20/2009618 Site24/15/2010200 Site25/11/2010118 Site26/15/2010217 Site27/20/2010479 Site29/1/2010353 I feel like this should be simple enough to do with Lattice using xyplot, but I'm not having much luck. Any suggestions? Thanks! -- Raphael D. Mazor Freshwater Biologist Southern California Coastal Water Research Project 3535 Harbor Blv Suite 110 Costa Mesa, CA 92626 Tel. (714) 755-3235 Fax. (714) 755-3299 -- ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology [[alternative HTML version deleted]] ___ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
Re: [R-sig-eco] subsetting data in R
Thank you for all the responses.
Is there a way to do a complete data set from an object in R?
I have a data set with more than 3000 columns.
The subsetting is ok but it could be dangerous if you are using other
factors to do some analysis as you need to specify the levels for all
your factors again.
Best,
Manuel
On 24/04/2011 08:30 a.m., Gustavo Carvalho wrote:
> pa2<- subset(pa, influencia=="AP")
> pa2$influencia<- factor(pa2$influencia)
> levels(pa2$influencia)
>
> On Sun, Apr 24, 2011 at 11:24 AM, Manuel SpÃnola
> wrote:
>> Thank you very much for your response, Christian, Roman, and Sarah.
>>
>> Sarah,
>>
>> I am trying your suggestion but I cannot see the levels:
>>
>> > pa2 = factor(subset(pa, influencia=="AP")$influencia)
>> > levels(pa2$influencia)
>> Error in pa2$influencia : $ operator is invalid for atomic vectors
>>
>> Best,
>>
>> Manuel
>>
>>
>>
>> On 24/04/2011 07:51 a.m., Sarah Goslee wrote:
>>> By default, read.csv() turns character variables into factors, using all the
>>> unique values as the levels.
>>>
>>> subset() retains those levels by default, as they are a vital element of the
>>> data. If you are studying some attribute of men and women, say height,
>>> even if you are only looking at the heights for women it's important to
>>> remember
>>> that men still exist.
>>>
>>> If you don't want influencia to be a factor, you can change that in the
>>> import
>>> stringsAsFactors=FALSE.
>>>
>>> If you do want influencia to be a factor, but want the unused levels to be
>>> removed, you can use factor() to do that.
>>>
testdata<- data.frame(group=c("A", "B", "C", "A", "B", "C"), value=1:6)
testdata
>>> group value
>>> 1 A 1
>>> 2 B 2
>>> 3 C 3
>>> 4 A 4
>>> 5 B 5
>>> 6 C 6
str(testdata)
>>> 'data.frame': 6 obs. of 2 variables:
>>>$ group: Factor w/ 3 levels "A","B","C": 1 2 3 1 2 3
>>>$ value: int 1 2 3 4 5 6
subset(testdata, group=="A")
>>> group value
>>> 1 A 1
>>> 4 A 4
subset(testdata, group=="A")$group
>>> [1] A A
>>> Levels: A B C
?subset
factor(subset(testdata, group=="A")$group)
>>> [1] A A
>>> Levels: A
>>>
>>> Sarah
>>>
>>> On Sun, Apr 24, 2011 at 9:04 AM, Manuel SpÃnola
>>> wrote:
Dear list members,
I have a question regarding too subsetting a data set in R.
I created an object for my data:
>pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>levels(pa$influencia)
[1] "AID" "AII" "AP"
The object has 3 levels for influencia (AP, AID, AII)
Now I subset only observations with influencia = "AID"
>pa2 = subset(pa, influencia=="AID")
but if I ask for the levels of influencia still show me the 3 levels,
AP, AID, AII.
>levels(pa2$influencia)
[1] "AID" "AII" "AP"
Why is that?
I was thinking that I was creating a new data frame with only AID as a
level for influencia.
How can I make a complete new object with only the observations for
"AID" and that the only level for influencia is indeed "AID"?
Best,
Manuel
>>
>> --
>> *Manuel SpÃnola, Ph.D.*
>> Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> Universidad Nacional
>> Apartado 1350-3000
>> Heredia
>> COSTA RICA
>> mspin...@una.ac.cr
>> mspinol...@gmail.com
>> Teléfono: (506) 2277-3598
>> Fax: (506) 2237-7036
>> Personal website: Lobito de rÃo
>>
Re: [R-sig-eco] subsetting data in R
Thank you very much Gustavo.
That works.
Manuel
On 24/04/2011 08:30 a.m., Gustavo Carvalho wrote:
> pa2<- subset(pa, influencia=="AP")
> pa2$influencia<- factor(pa2$influencia)
> levels(pa2$influencia)
>
> On Sun, Apr 24, 2011 at 11:24 AM, Manuel SpÃnola
> wrote:
>> Thank you very much for your response, Christian, Roman, and Sarah.
>>
>> Sarah,
>>
>> I am trying your suggestion but I cannot see the levels:
>>
>> > pa2 = factor(subset(pa, influencia=="AP")$influencia)
>> > levels(pa2$influencia)
>> Error in pa2$influencia : $ operator is invalid for atomic vectors
>>
>> Best,
>>
>> Manuel
>>
>>
>>
>> On 24/04/2011 07:51 a.m., Sarah Goslee wrote:
>>> By default, read.csv() turns character variables into factors, using all the
>>> unique values as the levels.
>>>
>>> subset() retains those levels by default, as they are a vital element of the
>>> data. If you are studying some attribute of men and women, say height,
>>> even if you are only looking at the heights for women it's important to
>>> remember
>>> that men still exist.
>>>
>>> If you don't want influencia to be a factor, you can change that in the
>>> import
>>> stringsAsFactors=FALSE.
>>>
>>> If you do want influencia to be a factor, but want the unused levels to be
>>> removed, you can use factor() to do that.
>>>
testdata<- data.frame(group=c("A", "B", "C", "A", "B", "C"), value=1:6)
testdata
>>> group value
>>> 1 A 1
>>> 2 B 2
>>> 3 C 3
>>> 4 A 4
>>> 5 B 5
>>> 6 C 6
str(testdata)
>>> 'data.frame': 6 obs. of 2 variables:
>>>$ group: Factor w/ 3 levels "A","B","C": 1 2 3 1 2 3
>>>$ value: int 1 2 3 4 5 6
subset(testdata, group=="A")
>>> group value
>>> 1 A 1
>>> 4 A 4
subset(testdata, group=="A")$group
>>> [1] A A
>>> Levels: A B C
?subset
factor(subset(testdata, group=="A")$group)
>>> [1] A A
>>> Levels: A
>>>
>>> Sarah
>>>
>>> On Sun, Apr 24, 2011 at 9:04 AM, Manuel SpÃnola
>>> wrote:
Dear list members,
I have a question regarding too subsetting a data set in R.
I created an object for my data:
>pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>levels(pa$influencia)
[1] "AID" "AII" "AP"
The object has 3 levels for influencia (AP, AID, AII)
Now I subset only observations with influencia = "AID"
>pa2 = subset(pa, influencia=="AID")
but if I ask for the levels of influencia still show me the 3 levels,
AP, AID, AII.
>levels(pa2$influencia)
[1] "AID" "AII" "AP"
Why is that?
I was thinking that I was creating a new data frame with only AID as a
level for influencia.
How can I make a complete new object with only the observations for
"AID" and that the only level for influencia is indeed "AID"?
Best,
Manuel
>>
>> --
>> *Manuel SpÃnola, Ph.D.*
>> Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> Universidad Nacional
>> Apartado 1350-3000
>> Heredia
>> COSTA RICA
>> mspin...@una.ac.cr
>> mspinol...@gmail.com
>> Teléfono: (506) 2277-3598
>> Fax: (506) 2237-7036
>> Personal website: Lobito de rÃo
>>
Re: [R-sig-eco] subsetting data in R
Thank you Christian.
Following your suggestion I got the following result,
> pa2 = subset(pa, influencia=="AP")
> pa2$influencia<-as.factor(pa2$influencia)
> levels(pa$influencia)
[1] "AID" "AII" "AP"
On 24/04/2011 07:42 a.m., Christian Parker wrote:
> You are creating a new object, but the columns that are stored as factors are
> not being 'refactored' so you are retaining the original list of levels. To
> fix this you can use the factor function after you subset
>
> pa2 = subset(pa, influencia=="AID")
> pa2$influencia<-as.factor(pa2$influencia)
>
>
>
> On Apr 24, 2011, at 6:04 AM, Manuel SpÃnola wrote:
>
>> Dear list members,
>>
>> I have a question regarding too subsetting a data set in R.
>>
>> I created an object for my data:
>>
>>> pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>>> levels(pa$influencia)
>> [1] "AID" "AII" "AP"
>>
>> The object has 3 levels for influencia (AP, AID, AII)
>>
>> Now I subset only observations with influencia = "AID"
>>
>>> pa2 = subset(pa, influencia=="AID")
>> but if I ask for the levels of influencia still show me the 3 levels,
>> AP, AID, AII.
>>
>>> levels(pa2$influencia)
>> [1] "AID" "AII" "AP"
>>
>> Why is that?
>>
>> I was thinking that I was creating a new data frame with only AID as a
>> level for influencia.
>>
>> How can I make a complete new object with only the observations for
>> "AID" and that the only level for influencia is indeed "AID"?
>>
>> Best,
>>
>> Manuel
>>
>>
>>
>>
>> --
>> *Manuel SpÃnola, Ph.D.*
>> Instituto Internacional en Conservación y Manejo de Vida Silvestre
>> Universidad Nacional
>> Apartado 1350-3000
>> Heredia
>> COSTA RICA
>> mspin...@una.ac.cr
>> mspinol...@gmail.com
>> Teléfono: (506) 2277-3598
>> Fax: (506) 2237-7036
>> Personal website: Lobito de rÃo
>>
Re: [R-sig-eco] subsetting data in R
pa2 <- subset(pa, influencia=="AP")
pa2$influencia <- factor(pa2$influencia)
levels(pa2$influencia)
On Sun, Apr 24, 2011 at 11:24 AM, Manuel Spínola wrote:
> Thank you very much for your response, Christian, Roman, and Sarah.
>
> Sarah,
>
> I am trying your suggestion but I cannot see the levels:
>
> > pa2 = factor(subset(pa, influencia=="AP")$influencia)
> > levels(pa2$influencia)
> Error in pa2$influencia : $ operator is invalid for atomic vectors
>
> Best,
>
> Manuel
>
>
>
> On 24/04/2011 07:51 a.m., Sarah Goslee wrote:
>> By default, read.csv() turns character variables into factors, using all the
>> unique values as the levels.
>>
>> subset() retains those levels by default, as they are a vital element of the
>> data. If you are studying some attribute of men and women, say height,
>> even if you are only looking at the heights for women it's important to
>> remember
>> that men still exist.
>>
>> If you don't want influencia to be a factor, you can change that in the
>> import
>> stringsAsFactors=FALSE.
>>
>> If you do want influencia to be a factor, but want the unused levels to be
>> removed, you can use factor() to do that.
>>
>>> testdata<- data.frame(group=c("A", "B", "C", "A", "B", "C"), value=1:6)
>>> testdata
>> group value
>> 1 A 1
>> 2 B 2
>> 3 C 3
>> 4 A 4
>> 5 B 5
>> 6 C 6
>>> str(testdata)
>> 'data.frame': 6 obs. of 2 variables:
>> $ group: Factor w/ 3 levels "A","B","C": 1 2 3 1 2 3
>> $ value: int 1 2 3 4 5 6
>>> subset(testdata, group=="A")
>> group value
>> 1 A 1
>> 4 A 4
>>> subset(testdata, group=="A")$group
>> [1] A A
>> Levels: A B C
>>> ?subset
>>> factor(subset(testdata, group=="A")$group)
>> [1] A A
>> Levels: A
>>
>> Sarah
>>
>> On Sun, Apr 24, 2011 at 9:04 AM, Manuel Spínola wrote:
>>> Dear list members,
>>>
>>> I have a question regarding too subsetting a data set in R.
>>>
>>> I created an object for my data:
>>>
>>> >pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>>>
>>> > levels(pa$influencia)
>>> [1] "AID" "AII" "AP"
>>>
>>> The object has 3 levels for influencia (AP, AID, AII)
>>>
>>> Now I subset only observations with influencia = "AID"
>>>
>>> >pa2 = subset(pa, influencia=="AID")
>>>
>>> but if I ask for the levels of influencia still show me the 3 levels,
>>> AP, AID, AII.
>>>
>>> > levels(pa2$influencia)
>>> [1] "AID" "AII" "AP"
>>>
>>> Why is that?
>>>
>>> I was thinking that I was creating a new data frame with only AID as a
>>> level for influencia.
>>>
>>> How can I make a complete new object with only the observations for
>>> "AID" and that the only level for influencia is indeed "AID"?
>>>
>>> Best,
>>>
>>> Manuel
>>>
>>>
>
>
> --
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> mspin...@una.ac.cr
> mspinol...@gmail.com
> Teléfono: (506) 2277-3598
> Fax: (506) 2237-7036
> Personal website: Lobito de río
>
Re: [R-sig-eco] subsetting data in R
Thank you very much for your response, Christian, Roman, and Sarah.
Sarah,
I am trying your suggestion but I cannot see the levels:
> pa2 = factor(subset(pa, influencia=="AP")$influencia)
> levels(pa2$influencia)
Error in pa2$influencia : $ operator is invalid for atomic vectors
Best,
Manuel
On 24/04/2011 07:51 a.m., Sarah Goslee wrote:
> By default, read.csv() turns character variables into factors, using all the
> unique values as the levels.
>
> subset() retains those levels by default, as they are a vital element of the
> data. If you are studying some attribute of men and women, say height,
> even if you are only looking at the heights for women it's important to
> remember
> that men still exist.
>
> If you don't want influencia to be a factor, you can change that in the import
> stringsAsFactors=FALSE.
>
> If you do want influencia to be a factor, but want the unused levels to be
> removed, you can use factor() to do that.
>
>> testdata<- data.frame(group=c("A", "B", "C", "A", "B", "C"), value=1:6)
>> testdata
>group value
> 1 A 1
> 2 B 2
> 3 C 3
> 4 A 4
> 5 B 5
> 6 C 6
>> str(testdata)
> 'data.frame': 6 obs. of 2 variables:
> $ group: Factor w/ 3 levels "A","B","C": 1 2 3 1 2 3
> $ value: int 1 2 3 4 5 6
>> subset(testdata, group=="A")
>group value
> 1 A 1
> 4 A 4
>> subset(testdata, group=="A")$group
> [1] A A
> Levels: A B C
>> ?subset
>> factor(subset(testdata, group=="A")$group)
> [1] A A
> Levels: A
>
> Sarah
>
> On Sun, Apr 24, 2011 at 9:04 AM, Manuel Spínola wrote:
>> Dear list members,
>>
>> I have a question regarding too subsetting a data set in R.
>>
>> I created an object for my data:
>>
>> >pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>>
>> > levels(pa$influencia)
>> [1] "AID" "AII" "AP"
>>
>> The object has 3 levels for influencia (AP, AID, AII)
>>
>> Now I subset only observations with influencia = "AID"
>>
>> >pa2 = subset(pa, influencia=="AID")
>>
>> but if I ask for the levels of influencia still show me the 3 levels,
>> AP, AID, AII.
>>
>> > levels(pa2$influencia)
>> [1] "AID" "AII" "AP"
>>
>> Why is that?
>>
>> I was thinking that I was creating a new data frame with only AID as a
>> level for influencia.
>>
>> How can I make a complete new object with only the observations for
>> "AID" and that the only level for influencia is indeed "AID"?
>>
>> Best,
>>
>> Manuel
>>
>>
--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspin...@una.ac.cr
mspinol...@gmail.com
Teléfono: (506) 2277-3598
Fax: (506) 2237-7036
Personal website: Lobito de río
Re: [R-sig-eco] subsetting data in R
By default, read.csv() turns character variables into factors, using all the
unique values as the levels.
subset() retains those levels by default, as they are a vital element of the
data. If you are studying some attribute of men and women, say height,
even if you are only looking at the heights for women it's important to remember
that men still exist.
If you don't want influencia to be a factor, you can change that in the import
stringsAsFactors=FALSE.
If you do want influencia to be a factor, but want the unused levels to be
removed, you can use factor() to do that.
> testdata <- data.frame(group=c("A", "B", "C", "A", "B", "C"), value=1:6)
> testdata
group value
1 A 1
2 B 2
3 C 3
4 A 4
5 B 5
6 C 6
> str(testdata)
'data.frame': 6 obs. of 2 variables:
$ group: Factor w/ 3 levels "A","B","C": 1 2 3 1 2 3
$ value: int 1 2 3 4 5 6
> subset(testdata, group=="A")
group value
1 A 1
4 A 4
> subset(testdata, group=="A")$group
[1] A A
Levels: A B C
> ?subset
> factor(subset(testdata, group=="A")$group)
[1] A A
Levels: A
Sarah
On Sun, Apr 24, 2011 at 9:04 AM, Manuel Spínola wrote:
> Dear list members,
>
> I have a question regarding too subsetting a data set in R.
>
> I created an object for my data:
>
> >pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>
> > levels(pa$influencia)
> [1] "AID" "AII" "AP"
>
> The object has 3 levels for influencia (AP, AID, AII)
>
> Now I subset only observations with influencia = "AID"
>
> >pa2 = subset(pa, influencia=="AID")
>
> but if I ask for the levels of influencia still show me the 3 levels,
> AP, AID, AII.
>
> > levels(pa2$influencia)
> [1] "AID" "AII" "AP"
>
> Why is that?
>
> I was thinking that I was creating a new data frame with only AID as a
> level for influencia.
>
> How can I make a complete new object with only the observations for
> "AID" and that the only level for influencia is indeed "AID"?
>
> Best,
>
> Manuel
>
>
--
Sarah Goslee
http://www.functionaldiversity.org
___
R-sig-ecology mailing list
R-sig-ecology@r-project.org
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Re: [R-sig-eco] subsetting data in R
You can also use droplevels() on your new object (as of R 2.12).
Cheers,
Roman
On Sun, Apr 24, 2011 at 3:42 PM, Christian Parker wrote:
> You are creating a new object, but the columns that are stored as factors
> are not being 'refactored' so you are retaining the original list of levels.
> To fix this you can use the factor function after you subset
>
> pa2 = subset(pa, influencia=="AID")
> pa2$influencia<-as.factor(pa2$influencia)
>
>
>
> On Apr 24, 2011, at 6:04 AM, Manuel Spínola wrote:
>
> > Dear list members,
> >
> > I have a question regarding too subsetting a data set in R.
> >
> > I created an object for my data:
> >
> >> pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
> >
> >> levels(pa$influencia)
> > [1] "AID" "AII" "AP"
> >
> > The object has 3 levels for influencia (AP, AID, AII)
> >
> > Now I subset only observations with influencia = "AID"
> >
> >> pa2 = subset(pa, influencia=="AID")
> >
> > but if I ask for the levels of influencia still show me the 3 levels,
> > AP, AID, AII.
> >
> >> levels(pa2$influencia)
> > [1] "AID" "AII" "AP"
> >
> > Why is that?
> >
> > I was thinking that I was creating a new data frame with only AID as a
> > level for influencia.
> >
> > How can I make a complete new object with only the observations for
> > "AID" and that the only level for influencia is indeed "AID"?
> >
> > Best,
> >
> > Manuel
> >
> >
> >
> >
> > --
> > *Manuel Spínola, Ph.D.*
> > Instituto Internacional en Conservación y Manejo de Vida Silvestre
> > Universidad Nacional
> > Apartado 1350-3000
> > Heredia
> > COSTA RICA
> > mspin...@una.ac.cr
> > mspinol...@gmail.com
> > Teléfono: (506) 2277-3598
> > Fax: (506) 2237-7036
> > Personal website: Lobito de río
> >
Re: [R-sig-eco] subsetting data in R
You are creating a new object, but the columns that are stored as factors are
not being 'refactored' so you are retaining the original list of levels. To fix
this you can use the factor function after you subset
pa2 = subset(pa, influencia=="AID")
pa2$influencia<-as.factor(pa2$influencia)
On Apr 24, 2011, at 6:04 AM, Manuel Spínola wrote:
> Dear list members,
>
> I have a question regarding too subsetting a data set in R.
>
> I created an object for my data:
>
>> pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
>
>> levels(pa$influencia)
> [1] "AID" "AII" "AP"
>
> The object has 3 levels for influencia (AP, AID, AII)
>
> Now I subset only observations with influencia = "AID"
>
>> pa2 = subset(pa, influencia=="AID")
>
> but if I ask for the levels of influencia still show me the 3 levels,
> AP, AID, AII.
>
>> levels(pa2$influencia)
> [1] "AID" "AII" "AP"
>
> Why is that?
>
> I was thinking that I was creating a new data frame with only AID as a
> level for influencia.
>
> How can I make a complete new object with only the observations for
> "AID" and that the only level for influencia is indeed "AID"?
>
> Best,
>
> Manuel
>
>
>
>
> --
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> mspin...@una.ac.cr
> mspinol...@gmail.com
> Teléfono: (506) 2277-3598
> Fax: (506) 2237-7036
> Personal website: Lobito de río
>
[R-sig-eco] subsetting data in R
Dear list members,
I have a question regarding too subsetting a data set in R.
I created an object for my data:
>pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F)
> levels(pa$influencia)
[1] "AID" "AII" "AP"
The object has 3 levels for influencia (AP, AID, AII)
Now I subset only observations with influencia = "AID"
>pa2 = subset(pa, influencia=="AID")
but if I ask for the levels of influencia still show me the 3 levels,
AP, AID, AII.
> levels(pa2$influencia)
[1] "AID" "AII" "AP"
Why is that?
I was thinking that I was creating a new data frame with only AID as a
level for influencia.
How can I make a complete new object with only the observations for
"AID" and that the only level for influencia is indeed "AID"?
Best,
Manuel
--
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspin...@una.ac.cr
mspinol...@gmail.com
Teléfono: (506) 2277-3598
Fax: (506) 2237-7036
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