Dear List, I am looking to calculate two things from my data frame and was after some advice. For the example below i want to know. 1. How many unique Orders/Families and Genera there are per eco-name 2. How many incidences are there for each Order/Family and Genus there are per eco-region I have 650 econame. I.e for Biak-Numfoor rain forests there are 2 orders, 2 families and two genera. Also, Alismatales are represented once, Asparagales once etc etc. Thanks for any advice. Chris ECO_NAME Order Family Genus Biak-Numfoor rain forests Alismatales Araceae Homalomena Biak-Numfoor rain forests Asparagales Orchidaceae Bromheadia Central Range montane rain forests Alismatales Araceae Homalomena Central Range montane rain forests Asparagales Lomandraceae Cordyline Central Range montane rain forests Asparagales Orchidaceae Thelymitra Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Vanda Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Commelinales Commelinaceae Murdannia Central Range montane rain forests Poales Centrolepidaceae Centrolepis Central Range montane rain forests Poales Cyperaceae Machaerina Central Range montane rain forests Poales Cyperaceae Eleocharis Central Range montane rain forests Poales Eriocaulaceae Eriocaulon Central Range montane rain forests Poales Poaceae Schizostachyum Central Range montane rain forests Poales Poaceae Poa Central Range montane rain forests Zingiberales Zingiberaceae Alpinia Central Range montane rain forests Zingiberales Zingiberaceae Curcuma Central Range montane rain forests Zingiberales Zingiberaceae Amomum Huon Peninsula montane rain forests Asparagales Orchidaceae Taeniophyllum Huon Peninsula montane rain forests Asparagales Orchidaceae Corybas Huon Peninsula montane rain forests Asparagales Orchidaceae Thelymitra Huon Peninsula montane rain forests Asparagales Orchidaceae Glomera Huon Peninsula montane rain forests Poales Centrolepidaceae Centrolepis Huon Peninsula montane rain forests Poales Poaceae Poa
Multiple count if style "queries"
8 messages · jim holtman, David Winsemius, Phil Spector +1 more
use the 'sqldf' package. Also use 'dput' to include sample data since
it was impossible to use the data in the format you provided, so my
guess at a solution would be:
answer <- sqldf("
select ECO_NAME
, count(distinct Order) as Order
, count(distinct Family) as Family
, count(distinct Genus) as Genus
from yourData
group by ECO_NAME
")
Not sure exactly what you wanted in the second question; it would be
nice to include what some sample output would be so we have an idea of
what you are after.
On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen <chrismcowen at gmail.com> wrote:
Dear List, I am looking to calculate two things from my data frame and was after some advice. For the example below i want to know. 1. How many unique Orders/Families and Genera there are per eco-name 2. How many incidences are there for each Order/Family and Genus there are per eco-region I have 650 econame. I.e for Biak-Numfoor rain forests there are 2 orders, 2 families and two genera. Also, Alismatales are represented once, Asparagales once etc etc. Thanks for any advice. Chris ECO_NAME ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?Order ? ? ? ? ? Family ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?Genus Biak-Numfoor rain forests ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Alismatales ? ? ? ? ? ? Araceae ? ? ? ? ? ? ? ? ? ? ? ? Homalomena Biak-Numfoor rain forests ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Bromheadia Central Range montane rain forests ? ? ?Alismatales ? ? ? ? ? ? Araceae ? ? ? ? ? ? ? ? ? ? ? ? Homalomena Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Lomandraceae ? ? ? ? ? ?Cordyline Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Thelymitra Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Dendrobium Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Vanda Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Bulbophyllum Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Bulbophyllum Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Dendrobium Central Range montane rain forests ? ? ?Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Dendrobium Central Range montane rain forests ? ? ?Commelinales ? ?Commelinaceae ? ? ? ? ? Murdannia Central Range montane rain forests ? ? ?Poales ? ? ? ? ? ? ? ? ?Centrolepidaceae ? ? ? ?Centrolepis Central Range montane rain forests ? ? ?Poales ? ? ? ? ? ? ? ? ?Cyperaceae ? ? ? ? ? ? ? ? ? ? ?Machaerina Central Range montane rain forests ? ? ?Poales ? ? ? ? ? ? ? ? ?Cyperaceae ? ? ? ? ? ? ? ? ? ? ?Eleocharis Central Range montane rain forests ? ? ?Poales ? ? ? ? ? ? ? ? ?Eriocaulaceae ? ? ? ? ? Eriocaulon Central Range montane rain forests ? ? ?Poales ? ? ? ? ? ? ? ? ?Poaceae ? ? ? ? ? ? ? ? Schizostachyum Central Range montane rain forests ? ? ?Poales ? ? ? ? ? ? ? ? ?Poaceae ? ? ? ? ? ? ? ? Poa Central Range montane rain forests ? ? ?Zingiberales ? ? ? ? ? ?Zingiberaceae ? ? ? ? ? Alpinia Central Range montane rain forests ? ? ?Zingiberales ? ? ? ? ? ?Zingiberaceae ? ? ? ? ? Curcuma Central Range montane rain forests ? ? ?Zingiberales ? ? ? ? ? ?Zingiberaceae ? ? ? ? ? Amomum Huon Peninsula montane rain forests ? ? Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Taeniophyllum Huon Peninsula montane rain forests ? ? Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Corybas Huon Peninsula montane rain forests ? ? Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Thelymitra Huon Peninsula montane rain forests ? ? Asparagales ? ? ? ? ? ? Orchidaceae ? ? ? ? ? ? ? ? ? ? Glomera Huon Peninsula montane rain forests ? ? Poales ? ? ? ? ? ? ? ? ?Centrolepidaceae ? ? ? ?Centrolepis Huon Peninsula montane rain forests ? ? Poales ? ? ? ? ? ? ? ? ?Poaceae ? ? ? ? ? ? ? ? Poa
______________________________________________ R-help at r-project.org mailing list 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.
Jim Holtman Data Munger Guru What is the problem that you are trying to solve?
Sorry for not including the data, i did intend to. I tried your code but got this error:
answer <- sqldf("
+ select ECO_NAME + , count(distinct Order) as Order + , count(distinct Family) as Family + , count(distinct Genus) as Genus + from data2 + group by ECO_NAME + ") Loading required package: tcltk Loading Tcl/Tk interface ... done Error in sqliteExecStatement(con, statement, bind.data) : RS-DBI driver: (error in statement: near "Order": syntax error)
For the second question i would want:
The number of times each Order/Family and Genus was represented in each eco_region.
I.E
Biak-Numfoor rain forests
Order: Alismatales-1, Araceae-1
Family: Homalomena -1, Asparagales-1
Genus: Orchidaceae-1, Bromheadia-1
So the number after each name is the count.
Thanks for the help.
Chris
data2 <- structure(list(ECO_NAME = structure(c(1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
3L, 3L, 3L, 3L, 3L), .Label = c("Biak-Numfoor rain forests",
"Central Range montane rain forests", "Huon Peninsula montane rain forests"
), class = "factor"), Order = structure(c(1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
2L, 2L, 2L, 2L, 4L, 4L), .Label = c("Alismatales", "Asparagales",
"Commelinales", "Poales", "Zingiberales"), class = "factor"),
Family = structure(c(1L, 7L, 1L, 6L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 3L, 2L, 4L, 4L, 5L, 8L, 8L, 9L, 9L, 9L, 7L, 7L, 7L,
7L, 2L, 8L), .Label = c("Araceae", "Centrolepidaceae", "Commelinaceae",
"Cyperaceae", "Eriocaulaceae", "Lomandraceae", "Orchidaceae",
"Poaceae", "Zingiberaceae"), class = "factor"), Genus = structure(c(13L,
3L, 13L, 6L, 19L, 9L, 20L, 4L, 4L, 9L, 9L, 15L, 5L, 14L,
10L, 11L, 17L, 16L, 1L, 8L, 2L, 18L, 7L, 19L, 12L, 5L, 16L
), .Label = c("Alpinia", "Amomum", "Bromheadia", "Bulbophyllum",
"Centrolepis", "Cordyline", "Corybas", "Curcuma", "Dendrobium",
"Eleocharis", "Eriocaulon", "Glomera", "Homalomena", "Machaerina",
"Murdannia", "Poa", "Schizostachyum", "Taeniophyllum", "Thelymitra",
"Vanda"), class = "factor")), .Names = c("ECO_NAME", "Order",
"Family", "Genus"), class = "data.frame", row.names = c(NA, -27L
))
On 20 May 2011, at 22:33, jim holtman wrote:
use the 'sqldf' package. Also use 'dput' to include sample data since
it was impossible to use the data in the format you provided, so my
guess at a solution would be:
answer <- sqldf("
select ECO_NAME
, count(distinct Order) as Order
, count(distinct Family) as Family
, count(distinct Genus) as Genus
from yourData
group by ECO_NAME
")
Not sure exactly what you wanted in the second question; it would be
nice to include what some sample output would be so we have an idea of
what you are after.
On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen <chrismcowen at gmail.com> wrote:
Dear List, I am looking to calculate two things from my data frame and was after some advice. For the example below i want to know. 1. How many unique Orders/Families and Genera there are per eco-name 2. How many incidences are there for each Order/Family and Genus there are per eco-region I have 650 econame. I.e for Biak-Numfoor rain forests there are 2 orders, 2 families and two genera. Also, Alismatales are represented once, Asparagales once etc etc. Thanks for any advice. Chris ECO_NAME Order Family Genus Biak-Numfoor rain forests Alismatales Araceae Homalomena Biak-Numfoor rain forests Asparagales Orchidaceae Bromheadia Central Range montane rain forests Alismatales Araceae Homalomena Central Range montane rain forests Asparagales Lomandraceae Cordyline Central Range montane rain forests Asparagales Orchidaceae Thelymitra Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Vanda Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Commelinales Commelinaceae Murdannia Central Range montane rain forests Poales Centrolepidaceae Centrolepis Central Range montane rain forests Poales Cyperaceae Machaerina Central Range montane rain forests Poales Cyperaceae Eleocharis Central Range montane rain forests Poales Eriocaulaceae Eriocaulon Central Range montane rain forests Poales Poaceae Schizostachyum Central Range montane rain forests Poales Poaceae Poa Central Range montane rain forests Zingiberales Zingiberaceae Alpinia Central Range montane rain forests Zingiberales Zingiberaceae Curcuma Central Range montane rain forests Zingiberales Zingiberaceae Amomum Huon Peninsula montane rain forests Asparagales Orchidaceae Taeniophyllum Huon Peninsula montane rain forests Asparagales Orchidaceae Corybas Huon Peninsula montane rain forests Asparagales Orchidaceae Thelymitra Huon Peninsula montane rain forests Asparagales Orchidaceae Glomera Huon Peninsula montane rain forests Poales Centrolepidaceae Centrolepis Huon Peninsula montane rain forests Poales Poaceae Poa
______________________________________________ R-help at r-project.org mailing list 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.
Jim Holtman Data Munger Guru What is the problem that you are trying to solve?
On May 20, 2011, at 5:50 PM, Chris Mcowen wrote:
Sorry for not including the data, i did intend to.
You included the data, just not in a format that anyone could reasonably be expected to edit so it can be used. Please read the Posting Guide.
David.
>
> I tried your code but got this error:
>
>>> answer <- sqldf("
>> + select ECO_NAME
>> + , count(distinct Order) as Order
>> + , count(distinct Family) as Family
>> + , count(distinct Genus) as Genus
>> + from data2
>> + group by ECO_NAME
>> + ")
>> Loading required package: tcltk
>> Loading Tcl/Tk interface ... done
>> Error in sqliteExecStatement(con, statement, bind.data) :
>> RS-DBI driver: (error in statement: near "Order": syntax error)
>
> For the second question i would want:
>
> The number of times each Order/Family and Genus was represented in
> each eco_region.
>
> I.E
>
> Biak-Numfoor rain forests
> Order: Alismatales-1, Araceae-1
> Family: Homalomena -1, Asparagales-1
> Genus: Orchidaceae-1, Bromheadia-1
>
> So the number after each name is the count.
>
> Thanks for the help.
>
> Chris
>
>
> data2 <- structure(list(ECO_NAME = structure(c(1L, 1L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
> 3L, 3L, 3L, 3L, 3L), .Label = c("Biak-Numfoor rain forests",
> "Central Range montane rain forests", "Huon Peninsula montane rain
> forests"
> ), class = "factor"), Order = structure(c(1L, 2L, 1L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
> 2L, 2L, 2L, 2L, 4L, 4L), .Label = c("Alismatales", "Asparagales",
> "Commelinales", "Poales", "Zingiberales"), class = "factor"),
> Family = structure(c(1L, 7L, 1L, 6L, 7L, 7L, 7L, 7L, 7L,
> 7L, 7L, 3L, 2L, 4L, 4L, 5L, 8L, 8L, 9L, 9L, 9L, 7L, 7L, 7L,
> 7L, 2L, 8L), .Label = c("Araceae", "Centrolepidaceae",
> "Commelinaceae",
> "Cyperaceae", "Eriocaulaceae", "Lomandraceae", "Orchidaceae",
> "Poaceae", "Zingiberaceae"), class = "factor"), Genus =
> structure(c(13L,
> 3L, 13L, 6L, 19L, 9L, 20L, 4L, 4L, 9L, 9L, 15L, 5L, 14L,
> 10L, 11L, 17L, 16L, 1L, 8L, 2L, 18L, 7L, 19L, 12L, 5L, 16L
> ), .Label = c("Alpinia", "Amomum", "Bromheadia", "Bulbophyllum",
> "Centrolepis", "Cordyline", "Corybas", "Curcuma", "Dendrobium",
> "Eleocharis", "Eriocaulon", "Glomera", "Homalomena", "Machaerina",
> "Murdannia", "Poa", "Schizostachyum", "Taeniophyllum",
> "Thelymitra",
> "Vanda"), class = "factor")), .Names = c("ECO_NAME", "Order",
> "Family", "Genus"), class = "data.frame", row.names = c(NA, -27L
> ))
>
>
> On 20 May 2011, at 22:33, jim holtman wrote:
>
> use the 'sqldf' package. Also use 'dput' to include sample data since
> it was impossible to use the data in the format you provided, so my
> guess at a solution would be:
>
> answer <- sqldf("
> select ECO_NAME
> , count(distinct Order) as Order
> , count(distinct Family) as Family
> , count(distinct Genus) as Genus
> from yourData
> group by ECO_NAME
> ")
>
> Not sure exactly what you wanted in the second question; it would be
> nice to include what some sample output would be so we have an idea of
> what you are after.
>
> On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen
> <chrismcowen at gmail.com> wrote:
>> Dear List,
>>
>> I am looking to calculate two things from my data frame and was
>> after some advice. For the example below i want to know.
>>
>> 1. How many unique Orders/Families and Genera there are per eco-name
>>
>> 2. How many incidences are there for each Order/Family and Genus
>> there are per eco-region
>>
>> I have 650 econame.
>>
>> I.e for Biak-Numfoor rain forests there are 2 orders, 2 families
>> and two genera. Also, Alismatales are represented once, Asparagales
>> once etc etc.
>>
>> Thanks for any advice.
>>
>> Chris
>>
>>
>> ECO_NAME
>> Order Family Genus
>> Biak-Numfoor rain forests
>> Alismatales Araceae Homalomena
>> Biak-Numfoor rain forests
>> Asparagales Orchidaceae Bromheadia
>> Central Range montane rain forests Alismatales
>> Araceae Homalomena
>> Central Range montane rain forests Asparagales
>> Lomandraceae Cordyline
>> Central Range montane rain forests Asparagales
>> Orchidaceae Thelymitra
>> Central Range montane rain forests Asparagales
>> Orchidaceae Dendrobium
>> Central Range montane rain forests Asparagales
>> Orchidaceae Vanda
>> Central Range montane rain forests Asparagales
>> Orchidaceae Bulbophyllum
>> Central Range montane rain forests Asparagales
>> Orchidaceae Bulbophyllum
>> Central Range montane rain forests Asparagales
>> Orchidaceae Dendrobium
>> Central Range montane rain forests Asparagales
>> Orchidaceae Dendrobium
>> Central Range montane rain forests Commelinales
>> Commelinaceae Murdannia
>> Central Range montane rain forests Poales
>> Centrolepidaceae Centrolepis
>> Central Range montane rain forests Poales
>> Cyperaceae Machaerina
>> Central Range montane rain forests Poales
>> Cyperaceae Eleocharis
>> Central Range montane rain forests Poales
>> Eriocaulaceae Eriocaulon
>> Central Range montane rain forests Poales
>> Poaceae Schizostachyum
>> Central Range montane rain forests Poales
>> Poaceae Poa
>> Central Range montane rain forests Zingiberales
>> Zingiberaceae Alpinia
>> Central Range montane rain forests Zingiberales
>> Zingiberaceae Curcuma
>> Central Range montane rain forests Zingiberales
>> Zingiberaceae Amomum
>> Huon Peninsula montane rain forests Asparagales
>> Orchidaceae Taeniophyllum
>> Huon Peninsula montane rain forests Asparagales
>> Orchidaceae Corybas
>> Huon Peninsula montane rain forests Asparagales
>> Orchidaceae Thelymitra
>> Huon Peninsula montane rain forests Asparagales
>> Orchidaceae Glomera
>> Huon Peninsula montane rain forests Poales
>> Centrolepidaceae Centrolepis
>> Huon Peninsula montane rain forests Poales
>> Poaceae Poa
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>>
>
>
>
> --
> Jim Holtman
> Data Munger Guru
>
> What is the problem that you are trying to solve?
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
David Winsemius, MD
West Hartford, CT
Is the dput output included not usable either? I have tested it on my machine and it works fine. Thanks
On 20 May 2011, at 22:57, David Winsemius wrote:
On May 20, 2011, at 5:50 PM, Chris Mcowen wrote:
Sorry for not including the data, i did intend to.
You included the data, just not in a format that anyone could reasonably be expected to edit so it can be used. Please read the Posting Guide.
David.
>
> I tried your code but got this error:
>
>>> answer <- sqldf("
>> + select ECO_NAME
>> + , count(distinct Order) as Order
>> + , count(distinct Family) as Family
>> + , count(distinct Genus) as Genus
>> + from data2
>> + group by ECO_NAME
>> + ")
>> Loading required package: tcltk
>> Loading Tcl/Tk interface ... done
>> Error in sqliteExecStatement(con, statement, bind.data) :
>> RS-DBI driver: (error in statement: near "Order": syntax error)
>
> For the second question i would want:
>
> The number of times each Order/Family and Genus was represented in each eco_region.
>
> I.E
>
> Biak-Numfoor rain forests
> Order: Alismatales-1, Araceae-1
> Family: Homalomena -1, Asparagales-1
> Genus: Orchidaceae-1, Bromheadia-1
>
> So the number after each name is the count.
>
> Thanks for the help.
>
> Chris
>
>
> data2 <- structure(list(ECO_NAME = structure(c(1L, 1L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
> 3L, 3L, 3L, 3L, 3L), .Label = c("Biak-Numfoor rain forests",
> "Central Range montane rain forests", "Huon Peninsula montane rain forests"
> ), class = "factor"), Order = structure(c(1L, 2L, 1L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
> 2L, 2L, 2L, 2L, 4L, 4L), .Label = c("Alismatales", "Asparagales",
> "Commelinales", "Poales", "Zingiberales"), class = "factor"),
> Family = structure(c(1L, 7L, 1L, 6L, 7L, 7L, 7L, 7L, 7L,
> 7L, 7L, 3L, 2L, 4L, 4L, 5L, 8L, 8L, 9L, 9L, 9L, 7L, 7L, 7L,
> 7L, 2L, 8L), .Label = c("Araceae", "Centrolepidaceae", "Commelinaceae",
> "Cyperaceae", "Eriocaulaceae", "Lomandraceae", "Orchidaceae",
> "Poaceae", "Zingiberaceae"), class = "factor"), Genus = structure(c(13L,
> 3L, 13L, 6L, 19L, 9L, 20L, 4L, 4L, 9L, 9L, 15L, 5L, 14L,
> 10L, 11L, 17L, 16L, 1L, 8L, 2L, 18L, 7L, 19L, 12L, 5L, 16L
> ), .Label = c("Alpinia", "Amomum", "Bromheadia", "Bulbophyllum",
> "Centrolepis", "Cordyline", "Corybas", "Curcuma", "Dendrobium",
> "Eleocharis", "Eriocaulon", "Glomera", "Homalomena", "Machaerina",
> "Murdannia", "Poa", "Schizostachyum", "Taeniophyllum", "Thelymitra",
> "Vanda"), class = "factor")), .Names = c("ECO_NAME", "Order",
> "Family", "Genus"), class = "data.frame", row.names = c(NA, -27L
> ))
>
>
> On 20 May 2011, at 22:33, jim holtman wrote:
>
> use the 'sqldf' package. Also use 'dput' to include sample data since
> it was impossible to use the data in the format you provided, so my
> guess at a solution would be:
>
> answer <- sqldf("
> select ECO_NAME
> , count(distinct Order) as Order
> , count(distinct Family) as Family
> , count(distinct Genus) as Genus
> from yourData
> group by ECO_NAME
> ")
>
> Not sure exactly what you wanted in the second question; it would be
> nice to include what some sample output would be so we have an idea of
> what you are after.
>
> On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen <chrismcowen at gmail.com> wrote:
>> Dear List,
>>
>> I am looking to calculate two things from my data frame and was after some advice. For the example below i want to know.
>>
>> 1. How many unique Orders/Families and Genera there are per eco-name
>>
>> 2. How many incidences are there for each Order/Family and Genus there are per eco-region
>>
>> I have 650 econame.
>>
>> I.e for Biak-Numfoor rain forests there are 2 orders, 2 families and two genera. Also, Alismatales are represented once, Asparagales once etc etc.
>>
>> Thanks for any advice.
>>
>> Chris
>>
>>
>> ECO_NAME Order Family Genus
>> Biak-Numfoor rain forests Alismatales Araceae Homalomena
>> Biak-Numfoor rain forests Asparagales Orchidaceae Bromheadia
>> Central Range montane rain forests Alismatales Araceae Homalomena
>> Central Range montane rain forests Asparagales Lomandraceae Cordyline
>> Central Range montane rain forests Asparagales Orchidaceae Thelymitra
>> Central Range montane rain forests Asparagales Orchidaceae Dendrobium
>> Central Range montane rain forests Asparagales Orchidaceae Vanda
>> Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum
>> Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum
>> Central Range montane rain forests Asparagales Orchidaceae Dendrobium
>> Central Range montane rain forests Asparagales Orchidaceae Dendrobium
>> Central Range montane rain forests Commelinales Commelinaceae Murdannia
>> Central Range montane rain forests Poales Centrolepidaceae Centrolepis
>> Central Range montane rain forests Poales Cyperaceae Machaerina
>> Central Range montane rain forests Poales Cyperaceae Eleocharis
>> Central Range montane rain forests Poales Eriocaulaceae Eriocaulon
>> Central Range montane rain forests Poales Poaceae Schizostachyum
>> Central Range montane rain forests Poales Poaceae Poa
>> Central Range montane rain forests Zingiberales Zingiberaceae Alpinia
>> Central Range montane rain forests Zingiberales Zingiberaceae Curcuma
>> Central Range montane rain forests Zingiberales Zingiberaceae Amomum
>> Huon Peninsula montane rain forests Asparagales Orchidaceae Taeniophyllum
>> Huon Peninsula montane rain forests Asparagales Orchidaceae Corybas
>> Huon Peninsula montane rain forests Asparagales Orchidaceae Thelymitra
>> Huon Peninsula montane rain forests Asparagales Orchidaceae Glomera
>> Huon Peninsula montane rain forests Poales Centrolepidaceae Centrolepis
>> Huon Peninsula montane rain forests Poales Poaceae Poa
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>>
>
>
>
> --
> Jim Holtman
> Data Munger Guru
>
> What is the problem that you are trying to solve?
>
> ______________________________________________
> R-help at r-project.org mailing list
> 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.
David Winsemius, MD
West Hartford, CT
Chris -
It's pretty easy to calculate these counts, the tricky part
is what kind of object to put them in. Here's a way that returns
a list of lists:
parts = split(data2,data2$ECO_NAME) result = lapply(parts,function(x)
list(Order=table(as.character(x$Order)),
Family=table(as.character(x$Family)),
Genus=table(as.character(x$Genus))))
So to reproduce your (poorly chosen) example:
result[['Biak-Numfoor rain forests']]
$Order
Alismatales Asparagales
1 1
$Family
Araceae Orchidaceae
1 1
$Genus
Bromheadia Homalomena
1 1
or to see each piece individually:
result[['Biak-Numfoor rain forests']]$Order
Alismatales Asparagales
1 1
result[['Biak-Numfoor rain forests']]$Family
Araceae Orchidaceae
1 1
result[['Biak-Numfoor rain forests']]$Genus
Bromheadia Homalomena
1 1
Hope this helps.
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spector at stat.berkeley.edu
On Fri, 20 May 2011, Chris Mcowen wrote:
Sorry for not including the data, i did intend to. I tried your code but got this error:
answer <- sqldf("
+ select ECO_NAME + , count(distinct Order) as Order + , count(distinct Family) as Family + , count(distinct Genus) as Genus + from data2 + group by ECO_NAME + ") Loading required package: tcltk Loading Tcl/Tk interface ... done Error in sqliteExecStatement(con, statement, bind.data) : RS-DBI driver: (error in statement: near "Order": syntax error)
For the second question i would want:
The number of times each Order/Family and Genus was represented in each eco_region.
I.E
Biak-Numfoor rain forests
Order: Alismatales-1, Araceae-1
Family: Homalomena -1, Asparagales-1
Genus: Orchidaceae-1, Bromheadia-1
So the number after each name is the count.
Thanks for the help.
Chris
data2 <- structure(list(ECO_NAME = structure(c(1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
3L, 3L, 3L, 3L, 3L), .Label = c("Biak-Numfoor rain forests",
"Central Range montane rain forests", "Huon Peninsula montane rain forests"
), class = "factor"), Order = structure(c(1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
2L, 2L, 2L, 2L, 4L, 4L), .Label = c("Alismatales", "Asparagales",
"Commelinales", "Poales", "Zingiberales"), class = "factor"),
Family = structure(c(1L, 7L, 1L, 6L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 3L, 2L, 4L, 4L, 5L, 8L, 8L, 9L, 9L, 9L, 7L, 7L, 7L,
7L, 2L, 8L), .Label = c("Araceae", "Centrolepidaceae", "Commelinaceae",
"Cyperaceae", "Eriocaulaceae", "Lomandraceae", "Orchidaceae",
"Poaceae", "Zingiberaceae"), class = "factor"), Genus = structure(c(13L,
3L, 13L, 6L, 19L, 9L, 20L, 4L, 4L, 9L, 9L, 15L, 5L, 14L,
10L, 11L, 17L, 16L, 1L, 8L, 2L, 18L, 7L, 19L, 12L, 5L, 16L
), .Label = c("Alpinia", "Amomum", "Bromheadia", "Bulbophyllum",
"Centrolepis", "Cordyline", "Corybas", "Curcuma", "Dendrobium",
"Eleocharis", "Eriocaulon", "Glomera", "Homalomena", "Machaerina",
"Murdannia", "Poa", "Schizostachyum", "Taeniophyllum", "Thelymitra",
"Vanda"), class = "factor")), .Names = c("ECO_NAME", "Order",
"Family", "Genus"), class = "data.frame", row.names = c(NA, -27L
))
On 20 May 2011, at 22:33, jim holtman wrote:
use the 'sqldf' package. Also use 'dput' to include sample data since
it was impossible to use the data in the format you provided, so my
guess at a solution would be:
answer <- sqldf("
select ECO_NAME
, count(distinct Order) as Order
, count(distinct Family) as Family
, count(distinct Genus) as Genus
from yourData
group by ECO_NAME
")
Not sure exactly what you wanted in the second question; it would be
nice to include what some sample output would be so we have an idea of
what you are after.
On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen <chrismcowen at gmail.com> wrote:
Dear List, I am looking to calculate two things from my data frame and was after some advice. For the example below i want to know. 1. How many unique Orders/Families and Genera there are per eco-name 2. How many incidences are there for each Order/Family and Genus there are per eco-region I have 650 econame. I.e for Biak-Numfoor rain forests there are 2 orders, 2 families and two genera. Also, Alismatales are represented once, Asparagales once etc etc. Thanks for any advice. Chris ECO_NAME Order Family Genus Biak-Numfoor rain forests Alismatales Araceae Homalomena Biak-Numfoor rain forests Asparagales Orchidaceae Bromheadia Central Range montane rain forests Alismatales Araceae Homalomena Central Range montane rain forests Asparagales Lomandraceae Cordyline Central Range montane rain forests Asparagales Orchidaceae Thelymitra Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Vanda Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Commelinales Commelinaceae Murdannia Central Range montane rain forests Poales Centrolepidaceae Centrolepis Central Range montane rain forests Poales Cyperaceae Machaerina Central Range montane rain forests Poales Cyperaceae Eleocharis Central Range montane rain forests Poales Eriocaulaceae Eriocaulon Central Range montane rain forests Poales Poaceae Schizostachyum Central Range montane rain forests Poales Poaceae Poa Central Range montane rain forests Zingiberales Zingiberaceae Alpinia Central Range montane rain forests Zingiberales Zingiberaceae Curcuma Central Range montane rain forests Zingiberales Zingiberaceae Amomum Huon Peninsula montane rain forests Asparagales Orchidaceae Taeniophyllum Huon Peninsula montane rain forests Asparagales Orchidaceae Corybas Huon Peninsula montane rain forests Asparagales Orchidaceae Thelymitra Huon Peninsula montane rain forests Asparagales Orchidaceae Glomera Huon Peninsula montane rain forests Poales Centrolepidaceae Centrolepis Huon Peninsula montane rain forests Poales Poaceae Poa
______________________________________________ R-help at r-project.org mailing list 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.
-- Jim Holtman Data Munger Guru What is the problem that you are trying to solve?
______________________________________________ R-help at r-project.org mailing list 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.
Thanks Phil, I will investigate how to put it into a exportable object. Chris
On 20 May 2011, at 23:08, Phil Spector wrote:
Chris - It's pretty easy to calculate these counts, the tricky part is what kind of object to put them in. Here's a way that returns a list of lists:
parts = split(data2,data2$ECO_NAME) result = lapply(parts,function(x)
list(Order=table(as.character(x$Order)),
Family=table(as.character(x$Family)),
Genus=table(as.character(x$Genus))))
So to reproduce your (poorly chosen) example:
result[['Biak-Numfoor rain forests']]
$Order
Alismatales Asparagales
1 1
$Family
Araceae Orchidaceae
1 1
$Genus
Bromheadia Homalomena
1 1
or to see each piece individually:
result[['Biak-Numfoor rain forests']]$Order
Alismatales Asparagales
1 1
result[['Biak-Numfoor rain forests']]$Family
Araceae Orchidaceae
1 1
result[['Biak-Numfoor rain forests']]$Genus
Bromheadia Homalomena
1 1
Hope this helps.
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spector at stat.berkeley.edu
On Fri, 20 May 2011, Chris Mcowen wrote:
Sorry for not including the data, i did intend to. I tried your code but got this error:
answer <- sqldf("
+ select ECO_NAME + , count(distinct Order) as Order + , count(distinct Family) as Family + , count(distinct Genus) as Genus + from data2 + group by ECO_NAME + ") Loading required package: tcltk Loading Tcl/Tk interface ... done Error in sqliteExecStatement(con, statement, bind.data) : RS-DBI driver: (error in statement: near "Order": syntax error)
For the second question i would want:
The number of times each Order/Family and Genus was represented in each eco_region.
I.E
Biak-Numfoor rain forests
Order: Alismatales-1, Araceae-1
Family: Homalomena -1, Asparagales-1
Genus: Orchidaceae-1, Bromheadia-1
So the number after each name is the count.
Thanks for the help.
Chris
data2 <- structure(list(ECO_NAME = structure(c(1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
3L, 3L, 3L, 3L, 3L), .Label = c("Biak-Numfoor rain forests",
"Central Range montane rain forests", "Huon Peninsula montane rain forests"
), class = "factor"), Order = structure(c(1L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
2L, 2L, 2L, 2L, 4L, 4L), .Label = c("Alismatales", "Asparagales",
"Commelinales", "Poales", "Zingiberales"), class = "factor"),
Family = structure(c(1L, 7L, 1L, 6L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 3L, 2L, 4L, 4L, 5L, 8L, 8L, 9L, 9L, 9L, 7L, 7L, 7L,
7L, 2L, 8L), .Label = c("Araceae", "Centrolepidaceae", "Commelinaceae",
"Cyperaceae", "Eriocaulaceae", "Lomandraceae", "Orchidaceae",
"Poaceae", "Zingiberaceae"), class = "factor"), Genus = structure(c(13L,
3L, 13L, 6L, 19L, 9L, 20L, 4L, 4L, 9L, 9L, 15L, 5L, 14L,
10L, 11L, 17L, 16L, 1L, 8L, 2L, 18L, 7L, 19L, 12L, 5L, 16L
), .Label = c("Alpinia", "Amomum", "Bromheadia", "Bulbophyllum",
"Centrolepis", "Cordyline", "Corybas", "Curcuma", "Dendrobium",
"Eleocharis", "Eriocaulon", "Glomera", "Homalomena", "Machaerina",
"Murdannia", "Poa", "Schizostachyum", "Taeniophyllum", "Thelymitra",
"Vanda"), class = "factor")), .Names = c("ECO_NAME", "Order",
"Family", "Genus"), class = "data.frame", row.names = c(NA, -27L
))
On 20 May 2011, at 22:33, jim holtman wrote:
use the 'sqldf' package. Also use 'dput' to include sample data since
it was impossible to use the data in the format you provided, so my
guess at a solution would be:
answer <- sqldf("
select ECO_NAME
, count(distinct Order) as Order
, count(distinct Family) as Family
, count(distinct Genus) as Genus
from yourData
group by ECO_NAME
")
Not sure exactly what you wanted in the second question; it would be
nice to include what some sample output would be so we have an idea of
what you are after.
On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen <chrismcowen at gmail.com> wrote:
Dear List, I am looking to calculate two things from my data frame and was after some advice. For the example below i want to know. 1. How many unique Orders/Families and Genera there are per eco-name 2. How many incidences are there for each Order/Family and Genus there are per eco-region I have 650 econame. I.e for Biak-Numfoor rain forests there are 2 orders, 2 families and two genera. Also, Alismatales are represented once, Asparagales once etc etc. Thanks for any advice. Chris ECO_NAME Order Family Genus Biak-Numfoor rain forests Alismatales Araceae Homalomena Biak-Numfoor rain forests Asparagales Orchidaceae Bromheadia Central Range montane rain forests Alismatales Araceae Homalomena Central Range montane rain forests Asparagales Lomandraceae Cordyline Central Range montane rain forests Asparagales Orchidaceae Thelymitra Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Vanda Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Bulbophyllum Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Asparagales Orchidaceae Dendrobium Central Range montane rain forests Commelinales Commelinaceae Murdannia Central Range montane rain forests Poales Centrolepidaceae Centrolepis Central Range montane rain forests Poales Cyperaceae Machaerina Central Range montane rain forests Poales Cyperaceae Eleocharis Central Range montane rain forests Poales Eriocaulaceae Eriocaulon Central Range montane rain forests Poales Poaceae Schizostachyum Central Range montane rain forests Poales Poaceae Poa Central Range montane rain forests Zingiberales Zingiberaceae Alpinia Central Range montane rain forests Zingiberales Zingiberaceae Curcuma Central Range montane rain forests Zingiberales Zingiberaceae Amomum Huon Peninsula montane rain forests Asparagales Orchidaceae Taeniophyllum Huon Peninsula montane rain forests Asparagales Orchidaceae Corybas Huon Peninsula montane rain forests Asparagales Orchidaceae Thelymitra Huon Peninsula montane rain forests Asparagales Orchidaceae Glomera Huon Peninsula montane rain forests Poales Centrolepidaceae Centrolepis Huon Peninsula montane rain forests Poales Poaceae Poa
______________________________________________ R-help at r-project.org mailing list 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.
-- Jim Holtman Data Munger Guru What is the problem that you are trying to solve?
______________________________________________ R-help at r-project.org mailing list 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.
On May 20, 2011, at 6:01 PM, Chris Mcowen wrote:
Is the dput output included not usable either? I have tested it on my machine and it works fine.
It's fine. I assumed you were referring to the "data" you did include
in the first posting with all the spaces and tabs and didn't scroll
down.
dat5 <-as.data.frame( with(data2,
table(ECO_NAME,Order,Family,Genus) ) )
dat5[dat5$Freq >0, ]
David.
>
> Thanks
>
>
>
> On 20 May 2011, at 22:57, David Winsemius wrote:
>
>
> On May 20, 2011, at 5:50 PM, Chris Mcowen wrote:
>
>> Sorry for not including the data, i did intend to.
>
> You included the data, just not in a format that anyone could
> reasonably be expected to edit so it can be used. Please read the
> Posting Guide.
>
> --
> David.
>
>>
>> I tried your code but got this error:
>>
>>>> answer <- sqldf("
>>> + select ECO_NAME
>>> + , count(distinct Order) as Order
>>> + , count(distinct Family) as Family
>>> + , count(distinct Genus) as Genus
>>> + from data2
>>> + group by ECO_NAME
>>> + ")
>>> Loading required package: tcltk
>>> Loading Tcl/Tk interface ... done
>>> Error in sqliteExecStatement(con, statement, bind.data) :
>>> RS-DBI driver: (error in statement: near "Order": syntax error)
>>
>> For the second question i would want:
>>
>> The number of times each Order/Family and Genus was represented in
>> each eco_region.
>>
>> I.E
>>
>> Biak-Numfoor rain forests
>> Order: Alismatales-1, Araceae-1
>> Family: Homalomena -1, Asparagales-1
>> Genus: Orchidaceae-1, Bromheadia-1
>>
>> So the number after each name is the count.
>>
>> Thanks for the help.
>>
>> Chris
>>
>>
>> data2 <- structure(list(ECO_NAME = structure(c(1L, 1L, 2L, 2L, 2L,
>> 2L,
>> 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,
>> 3L, 3L, 3L, 3L, 3L), .Label = c("Biak-Numfoor rain forests",
>> "Central Range montane rain forests", "Huon Peninsula montane rain
>> forests"
>> ), class = "factor"), Order = structure(c(1L, 2L, 1L, 2L, 2L,
>> 2L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L,
>> 2L, 2L, 2L, 2L, 4L, 4L), .Label = c("Alismatales", "Asparagales",
>> "Commelinales", "Poales", "Zingiberales"), class = "factor"),
>> Family = structure(c(1L, 7L, 1L, 6L, 7L, 7L, 7L, 7L, 7L,
>> 7L, 7L, 3L, 2L, 4L, 4L, 5L, 8L, 8L, 9L, 9L, 9L, 7L, 7L, 7L,
>> 7L, 2L, 8L), .Label = c("Araceae", "Centrolepidaceae",
>> "Commelinaceae",
>> "Cyperaceae", "Eriocaulaceae", "Lomandraceae", "Orchidaceae",
>> "Poaceae", "Zingiberaceae"), class = "factor"), Genus =
>> structure(c(13L,
>> 3L, 13L, 6L, 19L, 9L, 20L, 4L, 4L, 9L, 9L, 15L, 5L, 14L,
>> 10L, 11L, 17L, 16L, 1L, 8L, 2L, 18L, 7L, 19L, 12L, 5L, 16L
>> ), .Label = c("Alpinia", "Amomum", "Bromheadia", "Bulbophyllum",
>> "Centrolepis", "Cordyline", "Corybas", "Curcuma", "Dendrobium",
>> "Eleocharis", "Eriocaulon", "Glomera", "Homalomena", "Machaerina",
>> "Murdannia", "Poa", "Schizostachyum", "Taeniophyllum", "Thelymitra",
>> "Vanda"), class = "factor")), .Names = c("ECO_NAME", "Order",
>> "Family", "Genus"), class = "data.frame", row.names = c(NA, -27L
>> ))
>>
>>
>> On 20 May 2011, at 22:33, jim holtman wrote:
>>
>> use the 'sqldf' package. Also use 'dput' to include sample data
>> since
>> it was impossible to use the data in the format you provided, so my
>> guess at a solution would be:
>>
>> answer <- sqldf("
>> select ECO_NAME
>> , count(distinct Order) as Order
>> , count(distinct Family) as Family
>> , count(distinct Genus) as Genus
>> from yourData
>> group by ECO_NAME
>> ")
>>
>> Not sure exactly what you wanted in the second question; it would be
>> nice to include what some sample output would be so we have an idea
>> of
>> what you are after.
>>
>> On Fri, May 20, 2011 at 5:18 PM, Chris Mcowen
>> <chrismcowen at gmail.com> wrote:
>>> Dear List,
>>>
>>> I am looking to calculate two things from my data frame and was
>>> after some advice. For the example below i want to know.
>>>
>>> 1. How many unique Orders/Families and Genera there are per eco-name
>>>
>>> 2. How many incidences are there for each Order/Family and Genus
>>> there are per eco-region
>>>
>>> I have 650 econame.
>>>
>>> I.e for Biak-Numfoor rain forests there are 2 orders, 2 families
>>> and two genera. Also, Alismatales are represented once,
>>> Asparagales once etc etc.
>>>
>>> Thanks for any advice.
>>>
>>> Chris
>>>
>>>
>>> ECO_NAME
>>> Order Family Genus
>>> Biak-Numfoor rain forests
>>> Alismatales Araceae Homalomena
>>> Biak-Numfoor rain forests
>>> Asparagales Orchidaceae Bromheadia
>>> Central Range montane rain forests Alismatales
>>> Araceae Homalomena
>>> Central Range montane rain forests Asparagales
>>> Lomandraceae Cordyline
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Thelymitra
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Dendrobium
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Vanda
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Bulbophyllum
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Bulbophyllum
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Dendrobium
>>> Central Range montane rain forests Asparagales
>>> Orchidaceae Dendrobium
>>> Central Range montane rain forests Commelinales
>>> Commelinaceae Murdannia
>>> Central Range montane rain forests Poales
>>> Centrolepidaceae Centrolepis
>>> Central Range montane rain forests Poales
>>> Cyperaceae Machaerina
>>> Central Range montane rain forests Poales
>>> Cyperaceae Eleocharis
>>> Central Range montane rain forests Poales
>>> Eriocaulaceae Eriocaulon
>>> Central Range montane rain forests Poales
>>> Poaceae Schizostachyum
>>> Central Range montane rain forests Poales
>>> Poaceae Poa
>>> Central Range montane rain forests Zingiberales
>>> Zingiberaceae Alpinia
>>> Central Range montane rain forests Zingiberales
>>> Zingiberaceae Curcuma
>>> Central Range montane rain forests Zingiberales
>>> Zingiberaceae Amomum
>>> Huon Peninsula montane rain forests Asparagales
>>> Orchidaceae Taeniophyllum
>>> Huon Peninsula montane rain forests Asparagales
>>> Orchidaceae Corybas
>>> Huon Peninsula montane rain forests Asparagales
>>> Orchidaceae Thelymitra
>>> Huon Peninsula montane rain forests Asparagales
>>> Orchidaceae Glomera
>>> Huon Peninsula montane rain forests Poales
>>> Centrolepidaceae Centrolepis
>>> Huon Peninsula montane rain forests Poales
>>> Poaceae Poa
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> 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.
>>>
>>
>>
>>
>> --
>> Jim Holtman
>> Data Munger Guru
>>
>> What is the problem that you are trying to solve?
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> 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.
>
> David Winsemius, MD
> West Hartford, CT
>
>
David Winsemius, MD
West Hartford, CT