# [R] linear regression: Is there a way to get the results of lm as variables

CE.KA ce.kaya75 at yahoo.fr
Wed Oct 21 11:07:28 CEST 2009

```Hi R users

I used R to get the results of a linear regression

reg<-lm(y~x)

here are the results:

# Call:
# lm(formula = donnees\$txi7098 ~ donnees\$txs7098)
#
# Residuals:
#       Min        1Q    Median        3Q       Max
# -0.037971 -0.013373 -0.004947  0.010618  0.053235
#
# Coefficients:
#                 Estimate Std. Error t value Pr(>|t|)
# (Intercept)      0.08547    0.03028   2.822 0.011738 *
# donnees\$txs7098  0.62306    0.12847   4.850 0.000150 ***
# ---
# Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#
# Residual standard error: 0.02199 on 17 degrees of freedom
# Multiple R-squared: 0.5805,     Adjusted R-squared: 0.5558
# F-statistic: 23.52 on 1 and 17 DF,  p-value: 0.0001502

I know how to get  the coefficients as variable
for exemple:
reg\$coefficients[1]=0.08547 (Estimate )
reg\$coefficients[2]=0.62306 (Estimate )

My question is:
Is there a way to get the other results of lm as variables?
-Std. Errors?
-t value?
-Pr(>|t|) ?
-Residual standard error?
-Multiple R-squared?
-F-statistic?

Best regards

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