R ioanalysis pkg

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R ioanalysis pkg

Gaspar Núñez
Hi,

Hope you are doing well, I´m trying to start working
with ioanalysis package, however its being difficult for me
to prepare data from my own input-output table,
import it into R in order to apply the ioanalysis functions
Any help on this will be highly appreciated.
Please note that I do not need links to the ioanalysis manual
nor to pages describing the package and its functions,
but something like a tutorial or worked example on
how to prepare data from the input-output table
import data into R, so that after that i can work with ioanalysis

Thank you very much in advance

Gaspar Núñez

        [[alternative HTML version deleted]]

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Re: R ioanalysis pkg

Bert Gunter-2
There are around 20,000 specialized packages for R. This list is set up to
help on standard R features and packages, but cannot possibly be expected
to support 20,000 packages. As the posting guide says (did you read it??!):

"If the question relates to a *contributed package* , e.g., one downloaded
from CRAN, try contacting the package maintainer first. You can also use
find("functionname") and packageDescription("packagename") to find this
information. *Only* send such questions to R-help or R-devel if you get no
reply or need further assistance. This applies to both requests for help
and to bug reports."
(Note also: ?maintainer)

So did you you do this?

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Nov 10, 2020 at 4:55 PM Gaspar Núñez <[hidden email]> wrote:

> Hi,
>
> Hope you are doing well, I´m trying to start working
> with ioanalysis package, however its being difficult for me
> to prepare data from my own input-output table,
> import it into R in order to apply the ioanalysis functions
> Any help on this will be highly appreciated.
> Please note that I do not need links to the ioanalysis manual
> nor to pages describing the package and its functions,
> but something like a tutorial or worked example on
> how to prepare data from the input-output table
> import data into R, so that after that i can work with ioanalysis
>
> Thank you very much in advance
>
> Gaspar Núñez
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] 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.
>

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] 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.
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Re: R ioanalysis pkg

David Winsemius

On 11/10/20 5:08 PM, Bert Gunter wrote:

> There are around 20,000 specialized packages for R. This list is set up to
> help on standard R features and packages, but cannot possibly be expected
> to support 20,000 packages. As the posting guide says (did you read it??!):
>
> "If the question relates to a *contributed package* , e.g., one downloaded
> from CRAN, try contacting the package maintainer first. You can also use
> find("functionname") and packageDescription("packagename") to find this
> information. *Only* send such questions to R-help or R-devel if you get no
> reply or need further assistance. This applies to both requests for help
> and to bug reports."
> (Note also: ?maintainer)
>
> So did you you do this?
>
> Bert Gunter

To follow up on this ... the StackOverflow forum also handles coding
questions but it specifically advises against posting overly broad
questions or requests for package recommendations or other requests for
external sources of programming advice or tutoring.

Like Rhelp, SO advises questioners is to prepare a test dataset and to show what efforts have been made using R code. The code should preferably install the package and then load it. It should then make whatever preliminary transformations you have attempted along with the compete error messages or descriptions of what results failed to meet your expectations.

Neither Rhelp or SO should be considered as sources for one-off tutorials or as places to ask for one-off projects builds.

--
David.

  On Tue, Nov 10, 2020 at 4:55 PM Gaspar Núñez <[hidden email]> wrote:

>> Hi,
>>
>> Hope you are doing well, I´m trying to start working
>> with ioanalysis package, however its being difficult for me
>> to prepare data from my own input-output table,
>> import it into R in order to apply the ioanalysis functions
>> Any help on this will be highly appreciated.
>> Please note that I do not need links to the ioanalysis manual
>> nor to pages describing the package and its functions,
>> but something like a tutorial or worked example on
>> how to prepare data from the input-output table
>> import data into R, so that after that i can work with ioanalysis
>>
>> Thank you very much in advance
>>
>> Gaspar Núñez
>>
>>          [[alternative HTML version deleted]
And .... Rhelp does not accept HTML code. If you had included code, it
would probably have been mangles. Use plain text.

______________________________________________
[hidden email] 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.
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Re: R ioanalysis pkg

Jim Lemon-4
In reply to this post by Gaspar Núñez
Hi Gaspar,
I can see why you are having trouble with this. The "as.inputoutput"
function seems to be the core. While the manual claims you can just input
the "Z", "RS_label" and and "X" matrices to "as.inputoutput" and get the
"InputOutput" object that you need for all the other functions, it looks to
me as though the required input matrices are not trivial to create. The
manual is confusing as the argument name "Z" is overprinted by "RS_label"
My guess is that you will have to know a bit about what you are doing to
use the package.

Jim

On Wed, Nov 11, 2020 at 11:55 AM Gaspar Núñez <[hidden email]> wrote:

> Hi,
>
> Hope you are doing well, I´m trying to start working
> with ioanalysis package, however its being difficult for me
> to prepare data from my own input-output table,
> import it into R in order to apply the ioanalysis functions
> Any help on this will be highly appreciated.
> Please note that I do not need links to the ioanalysis manual
> nor to pages describing the package and its functions,
> but something like a tutorial or worked example on
> how to prepare data from the input-output table
> import data into R, so that after that i can work with ioanalysis
>
> Thank you very much in advance
>
> Gaspar Núñez
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] 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.
>

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] 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.
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Re: R ioanalysis pkg

Gaspar Núñez
In reply to this post by Bert Gunter-2
Thank you very much Bert and David,
I appreciate your kind answers
which will be of great help to me no doubt.

G


On Tue, Nov 10, 2020 at 7:08 PM Bert Gunter <[hidden email]> wrote:

> There are around 20,000 specialized packages for R. This list is set up to
> help on standard R features and packages, but cannot possibly be expected
> to support 20,000 packages. As the posting guide says (did you read it??!):
>
> "If the question relates to a *contributed package* , e.g., one
> downloaded from CRAN, try contacting the package maintainer first. You can
> also use find("functionname") and packageDescription("packagename") to
> find this information. *Only* send such questions to R-help or R-devel if
> you get no reply or need further assistance. This applies to both requests
> for help and to bug reports."
> (Note also: ?maintainer)
>
> So did you you do this?
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Tue, Nov 10, 2020 at 4:55 PM Gaspar Núñez <[hidden email]> wrote:
>
>> Hi,
>>
>> Hope you are doing well, I´m trying to start working
>> with ioanalysis package, however its being difficult for me
>> to prepare data from my own input-output table,
>> import it into R in order to apply the ioanalysis functions
>> Any help on this will be highly appreciated.
>> Please note that I do not need links to the ioanalysis manual
>> nor to pages describing the package and its functions,
>> but something like a tutorial or worked example on
>> how to prepare data from the input-output table
>> import data into R, so that after that i can work with ioanalysis
>>
>> Thank you very much in advance
>>
>> Gaspar Núñez
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> [hidden email] 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.
>>
>

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] 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.