Hello!!, for linear models fit I use Gretl, but now I'm starting to use R,
I would like to know if is there some function to obtain a extended summary
like in Gretl.

I will write a example in Gretl


Modelo 1: MCO, usando las observaciones 1968-1982 (T = 15)

Variable dependiente: Invest


Coeficient

St error

t-ratio

p-value



const

377,631

35,0955

10,7601

<0,00001

***

GNP

0,63612

0,055015

11,5627

<0,00001

***

CPI

-9,70228

0,913737

-10,6182

<0,00001

***

Interest

-0,941363

2,21077

-0,4258

0,67927



time

8,49182

3,18142

2,6692

0,02353

**



Average of Dep Var.

 276,0067


St Error Dep. Var

 117,5827

Squared Sum of remainders

 818,6362



Regression standar error

 9,047852

R^2

 0,995771



R^2 adj

 0,994079

F(4, 10)

 588,6040



p-value (de F)

 8,09e-12

Log-likelihood

-51,28100



Akaike

 112,5620

Schwarz

 116,1023



Hannan-Quinn

 112,5243

rho

-0,440663



Durbin-Watson

 2,757428


Like you can see Gretl shows more statisticas.

The same model in R:

Call:
lm(formula = Invest ~ CPI + GNP + Interest + Year, data = Tabla6_3)

Residuals:
    Min      1Q  Median      3Q     Max
-16.397  -3.864   1.391   4.219  15.779

Coefficients:
              Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.633e+04  6.250e+03  -2.612   0.0260 *
CPI         -9.702e+00  9.137e-01 -10.618 9.15e-07 ***
GNP          6.361e-01  5.502e-02  11.563 4.14e-07 ***
Interest    -9.414e-01  2.211e+00  -0.426   0.6793
Year         8.492e+00  3.181e+00   2.669   0.0235 *
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Thanks so much,

Otto

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