Working with Numbers generated from Regression Output
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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Krunal Nanavati <krunal.nanavati at cogitaas.com> wrote:
Hi Jean, Thank you very much for getting back to me. I tried the solutions that you have provided. First I tried the ?coef(result) statement?.and I got the below output
coef(result)
(Intercept) X Volume -30.40275264 0.57786290 0.02594024 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. (Intercept) X Volume -30.40275264 0.57786290 0.02594024 So, here all the output is getting pasted in a single cell. What I am looking for is something different. Here is what I am looking for (Intercept) X Volume -30.40275264 0.57786292 0.02594024 So, once the beta values are placed in different cells, I can work on those numbers individually to calculate elasticities. I tried with the other statements as well, but they are not addressing this issue. Can you please help me out with this. I really appreciate your time and effort. Thanks & Regards, Krunal Nanavati 9769-919198 *From:* Jean V Adams [mailto:jvadams at usgs.gov] *Sent:* 26 July 2012 20:53 *To:* Krunal Nanavati *Cc:* r-help at 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.nanavati at 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
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