Hi, perhaps this question was answered previously however I could not find them. My problem is how how to extract a particular statistic from the result given by lm(). For e.g. ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69) group <- gl(2,10,20, labels=c("Ctl","Trt")) weight <- c(ctl, trt)> summary(lm.D9 <- lm(weight ~ group))Call: lm(formula = weight ~ group) Residuals: Min 1Q Median 3Q Max -1.0710 -0.4938 0.0685 0.2462 1.3690 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 5.0320 0.2202 22.850 9.55e-15 *** groupTrt -0.3710 0.3114 -1.191 0.249 --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 Residual standard error: 0.6964 on 18 degrees of freedom Multiple R-squared: 0.07308, Adjusted R-squared: 0.02158 F-statistic: 1.419 on 1 and 18 DF, p-value: 0.249 Here I want to extract the values of "t-stat", "Pr(>|t|)" individually. Can anyone please guide me how to get them? -- View this message in context: http://www.nabble.com/Extract-statistics-from-lm%28%29-tp22265770p22265770.html Sent from the R help mailing list archive at Nabble.com.
http://finzi.psych.upenn.edu/R/Rhelp08/archive/147713.html On Feb 28, 2009, at 2:21 PM, Bogaso wrote:> > Hi, perhaps this question was answered previously however I could > not find > them. My problem is how how to extract a particular statistic from the > result given by lm(). For e.g. > > ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) > trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69) > group <- gl(2,10,20, labels=c("Ctl","Trt")) > weight <- c(ctl, trt) >> summary(lm.D9 <- lm(weight ~ group)) > > Call: > lm(formula = weight ~ group) > > Residuals: > Min 1Q Median 3Q Max > -1.0710 -0.4938 0.0685 0.2462 1.3690 > > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) 5.0320 0.2202 22.850 9.55e-15 *** > groupTrt -0.3710 0.3114 -1.191 0.249 > --- > Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 > > Residual standard error: 0.6964 on 18 degrees of freedom > Multiple R-squared: 0.07308, Adjusted R-squared: 0.02158 > F-statistic: 1.419 on 1 and 18 DF, p-value: 0.249 > > > Here I want to extract the values of "t-stat", "Pr(>|t|)" > individually. Can > anyone please guide me how to get them? > -- > View this message in context: http://www.nabble.com/Extract-statistics-from-lm%28%29-tp22265770p22265770.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help at 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.
Hi,> Hi, perhaps this question was answered previously however I could not find > them. My problem is how how to extract a particular statistic from the > result given by lm(). For e.g. > > ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) > trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69) > group <- gl(2,10,20, labels=c("Ctl","Trt")) > weight <- c(ctl, trt) >> summary(lm.D9 <- lm(weight ~ group)) > > Call: > lm(formula = weight ~ group) > > Residuals: > Min 1Q Median 3Q Max > -1.0710 -0.4938 0.0685 0.2462 1.3690 > > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) 5.0320 0.2202 22.850 9.55e-15 *** > groupTrt -0.3710 0.3114 -1.191 0.249 > --- > Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 > > Residual standard error: 0.6964 on 18 degrees of freedom > Multiple R-squared: 0.07308, Adjusted R-squared: 0.02158 > F-statistic: 1.419 on 1 and 18 DF, p-value: 0.249 > > > Here I want to extract the values of "t-stat", "Pr(>|t|)" individually. Can > anyone please guide me how to get them?summaryD9 <- summary(lm.D9 <- lm(weight ~ group)) (coefD9 <- coef(summaryD9)) coefD9[, "t value"] coefD9[, "Pr(>|t|)"] In order to get an overview of the structure of an object you can use the str function as in: str(summaryD9) HTH, Tobias
Look at the data structure produced by summary()> names(summary(lm.D9))[1] "call" "terms" "residuals" "coefficients" [5] "aliased" "sigma" "df" "r.squared" [9] "adj.r.squared" "fstatistic" "cov.unscaled" Now look at the data structure for the coefficients in the summary:> summary(lm.D9)$coefficientsEstimate Std. Error t value Pr(>|t|) (Intercept) 5.032 0.2202177 22.850117 9.547128e-15 groupTrt -0.371 0.3114349 -1.191260 2.490232e-01> class(summary(lm.D9)$coefficients)[1] "matrix"> summary(lm.D9)$coefficients[,3](Intercept) groupTrt 22.850117 -1.191260 albyn Quoting Bogaso <bogaso.christofer at gmail.com>:> > Hi, perhaps this question was answered previously however I could not find > them. My problem is how how to extract a particular statistic from the > result given by lm(). For e.g. > > ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14) > trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69) > group <- gl(2,10,20, labels=c("Ctl","Trt")) > weight <- c(ctl, trt) >> summary(lm.D9 <- lm(weight ~ group)) > > Call: > lm(formula = weight ~ group) > > Residuals: > Min 1Q Median 3Q Max > -1.0710 -0.4938 0.0685 0.2462 1.3690 > > Coefficients: > Estimate Std. Error t value Pr(>|t|) > (Intercept) 5.0320 0.2202 22.850 9.55e-15 *** > groupTrt -0.3710 0.3114 -1.191 0.249 > --- > Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 > > Residual standard error: 0.6964 on 18 degrees of freedom > Multiple R-squared: 0.07308, Adjusted R-squared: 0.02158 > F-statistic: 1.419 on 1 and 18 DF, p-value: 0.249 > > > Here I want to extract the values of "t-stat", "Pr(>|t|)" individually. Can > anyone please guide me how to get them? > -- > View this message in context: > http://www.nabble.com/Extract-statistics-from-lm%28%29-tp22265770p22265770.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help at 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. >