Hi CE.KA, Take a look at the following:
# Data set.seed(123) x <- rnorm(100) y <- 2 + 1.5*x + rnorm(100) # Regression model reg <- lm(y ~ x) # The summary summary(reg) # Objects present in the summary() names(summary(reg)) # Extracting the coefficients summary(reg)$coeff HTH, Jorge On Wed, Oct 21, 2009 at 5:07 AM, CE.KA <> wrote: > > Hi R users > > I used R to get the results of a linear regression > > reg<-lm(y~x) > > here are the results: > > # Call: > # lm(formula = donnees$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 > > > -- > View this message in context: > http://www.nabble.com/linear-regression%3A-Is-there-a-way-to-get-the-results-of-lm-as-variables-tp25988916p25988916.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
