>
> 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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> Linear-Regression-data-to-text-tp3766230p3766230.html
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>
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