On Jul 27, 2012, at 12:14 AM, Krunal Nanavati wrote:
Hi Jeff,
Sorry for the previous email.
I tried using write function, and used the following syntax
write(result,file="C:\\Users\\Krunal\\Desktop\\Book1.csv")
but it is giving the following error
Error in cat(list(...), file, sep, fill, labels, append) :
argument 1 (type 'list') cannot be handled by 'cat'
Can you tell me where I am going wrong
(First off, we have no wat y=to know what result is. I'm guessing its
an lm-object.
If that's correct, then you could try:
write.csv( coef(result), file="C:\\Users\\Krunal\\Desktop\
\Book1.csv")
It is designed to write dataframes, but a simple list or vector of
coefficients sould get written (after coercion).
I think you can also do this (in Windows)
write.csv( coef(result), file="clipboard") # and then paste into
Excel
Excel doesn't really have a corresponding data structure to a named
vector, so you won't get the names if you go the second route.
And finally, Excel has a /Data/Text to Columns facility that is useful
for turning console output into columnar data. Choose the fixed format
menu.
--
David.
Thanks & Regards,
Krunal Nanavati
9769-919198
-----Original Message-----
From: Jeff Newmiller [mailto:jdnew...@dcn.davis.ca.us]
Sent: 27 July 2012 12:11
To: Krunal Nanavati; Jean V Adams
Cc: r-help@r-project.org
Subject: Re: [R] 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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Live...
DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#.
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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.
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: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
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David Winsemius, MD
Alameda, CA, USA
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