Stop posting HTML. What you see is NOT what we see.
As regards to your problems... you need to learn how to get data into and out
of R, so please read the R Input/Output document supplied with R. The most
foolproof way is to write the data to a CSV file and read it from there into a
spreadsheet. Depending on your operating system you may be able to write into a
clipboard for more convenience.
As to your goal of making predictions, with only a few more steps you can make
those predictions using R. See the examples in the help for predict ( type
"?predict.lm" without the quotes).
---------------------------------------------------------------------------
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DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
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Sent from my phone. Please excuse my brevity.
Krunal Nanavati <krunal.nanav...@cogitaas.com> wrote:
>Hi Jean,
>
>
>
>Thank you very much for getting back to me.
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>I tried the solutions that you have provided.
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>First I tried the �coef(result) statement�.and I got the below output
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>>coef(result)
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>(Intercept) X Volume
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>-30.40275264 0.57786290 0.02594024
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>Then, I simply selected this output from the R window, and pasted it
>into
>an Excel Sheet, and it go pasted in the below manner.
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>(Intercept) X Volume
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>-30.40275264 0.57786290 0.02594024
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>So, here all the output is getting pasted in a single cell. What I am
>looking for is something different.
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>Here is what I am looking for
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>(Intercept)
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>X
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>Volume
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>-30.40275264
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>0.57786292
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>0.02594024
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>So, once the beta values are placed in different cells, I can work on
>those
>numbers individually to calculate elasticities.
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>I tried with the other statements as well, but they are not addressing
>this
>issue.
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>Can you please help me out with this. I really appreciate your time and
>effort.
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>Thanks & Regards,
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>Krunal Nanavati
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>9769-919198
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>
>*From:* Jean V Adams [mailto:jvad...@usgs.gov]
>*Sent:* 26 July 2012 20:53
>*To:* Krunal Nanavati
>*Cc:* r-help@r-project.org
>*Subject:* Re: [R] Working with Numbers generated from Regression
>Output
>
>
>
>You can learn a lot from the help files. Check out the help files for
>the
>lm() and summary.lm() functions
>
>?lm
>?summary.lm
>
>You can extract the beta values in a few different ways.
>These two will give you just the estimates in a vector:
>
>coef(result)
>result$coef
>
>These two will give you the estimates and more in a matrix:
>
>coef(summary(result))
>summary(result)$coef
>
>Jean
>
>
>Krunal Nanavati <krunal.nanav...@cogitaas.com> wrote on 07/26/2012
>07:28:02
>AM:
>>
>> Hi,
>>
>> I have a query on regression output generated by R.
>>
>> > result=lm( Y~X , data=trail)
>> > summary(result)
>>
>> After running this 2 statements the following output is generated.
>>
>> Call:
>> lm(formula = Y ~ X, data = trail)
>>
>> Residuals:
>> Min 1Q Median 3Q Max
>> -245.30 -90.77 -30.30 54.99 532.78
>>
>> Coefficients:
>> Estimate Std. Error t value Pr(>|t|)
>> (Intercept) 245.2982 62.1307 3.948 0.000376 ***
>> X 0.5192 0.1752 2.963 0.005533 **
>> ---
>> Signif. codes: 0 �***� 0.001 �**� 0.01 �*� 0.05 �.� 0.1 � � 1
>>
>> Residual standard error: 169.1 on 34 degrees of freedom
>> Multiple R-squared: 0.2052, Adjusted R-squared: 0.1818
>> F-statistic: 8.777 on 1 and 34 DF, p-value: 0.005533
>>
>> From this output, I intend to use the beta values to calculate
>> elasticities. Is this possible directly in R?
>>
>> If not, then when I paste this output in Excel, It is pasted as an
>image,
>> and thus I cannot use the beta values for calculating any other
>metric.
>>
>> Can anyone please help me out!!!
>>
>> Thanks & Regards,
>>
>> Krunal Nanavati
>> 9769-919198
>
> [[alternative HTML version deleted]]
>
>______________________________________________
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>PLEASE do read the posting guide
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>and provide commented, minimal, self-contained, reproducible code.
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