R help - Aug 2011 - Howto convert Linear Regression data to text

Dear all,

How can I covert lm data to text in the form of "y=ax+b, r2" and how
do I
calculate R-squared(r2)?

Thanks. 
 
Code:
x=18:29
y=c(7.1,7,7.7,8.2,8.8,9.7,9.9,7.1,7.2,8.8,8.7,8.5)
res=lm(y~x)

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If I understand you correctly, see ?paste

and the following to extract the values you require:

summary(res)[[4]][1] 

summary(res)[[4]][2]  

summary(res)[[8]]

HTH



ashz wrote:
> 
> Dear all,
> 
> How can I covert lm data to text in the form of "y=ax+b, r2" and
how do I
> calculate R-squared(r2)?
> 
> Thanks. 
>  
> Code:
> x=18:29
> y=c(7.1,7,7.7,8.2,8.8,9.7,9.9,7.1,7.2,8.8,8.7,8.5)
> res=lm(y~x)
> 
--
View this message in context:
http://r.789695.n4.nabble.com/Howto-convert-Linear-Regression-data-to-text-tp3766230p3767009.html
Sent from the R help mailing list archive at Nabble.com.

> 
> Dear all,
> 
> How can I covert lm data to text in the form of "y=ax+b, r2" and
how do
I
> calculate R-squared(r2)?
> 
> Thanks. 
> 
> Code:
> x=18:29
> y=c(7.1,7,7.7,8.2,8.8,9.7,9.9,7.1,7.2,8.8,8.7,8.5)
> res=lm(y~x)
I am not sure what do you mean by text. There are some lm extraction 
functions for evaluating your results which you can use in some paste 
construction according to your wished formating.

summary(res)

Call:
lm(formula = y ~ x)

Residuals:
     Min       1Q   Median       3Q      Max 
-1.27448 -0.62684 -0.07483  0.35079  1.62517 

Coefficients:
            Estimate Std. Error t value Pr(>|t|) 
(Intercept)  5.88322    1.97455   2.980   0.0138 *
x            0.09965    0.08313   1.199   0.2583 
---
Signif. codes:  0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 

Residual standard error: 0.9941 on 10 degrees of freedom
Multiple R-squared: 0.1256,     Adjusted R-squared: 0.0382 
F-statistic: 1.437 on 1 and 10 DF,  p-value: 0.2583 

summary(res)$r.squared
[1] 0.1256375
> coef(res)
(Intercept)           x 
 5.88321678  0.09965035

Regards
Petr

> 
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