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11028137
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2012-06-14T06:56:26.210
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2012-06-14T06:56:26.210
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text
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<p>The object <code>a</code> is class <code>integer</code>, <code>b</code> is class <code>data.frame</code>. A <code>data frame</code> is a <code>list</code> with certain properties and with class <code>data.frame</code> (<a href="http://cran.r-project.org/doc/manuals/R-intro.html#Data-frames" rel="nofollow">http://cran.r-project.org/doc/manuals/R-intro.html#Data-frames</a>). Many functions, including <code>summary</code>, handle objects of different classes differently (see that you can use <code>summary</code> on an object of class <code>lm</code> and it gives you something completely different). If you want to apply the function <code>summary</code> to every components in <code>b</code>, you could use <code>lapply</code>:</p> <pre><code>> a <- 0:628846 > b <- data.frame(b = 0:628846) > class(a) [1] "integer" > class(b) [1] "data.frame" > names(b) [1] "b" > length(b) [1] 1 > summary(b[[1]]) # b[[1]] gives the first component of the list b Min. 1st Qu. Median Mean 3rd Qu. Max. 0 157200 314400 314400 471600 628800 > class(b$b) [1] "integer" > summary(b$b) Min. 1st Qu. Median Mean 3rd Qu. Max. 0 157200 314400 314400 471600 628800 > lapply(b,summary) $b Min. 1st Qu. Median Mean 3rd Qu. Max. 0 157200 314400 314400 471600 628800 > > # example of summary on a linear model > x <- rnorm(100) > y <- x + rnorm(100) > my.lm <- lm(y~x) > class(my.lm) [1] "lm" > summary(my.lm) Call: lm(formula = y ~ x) Residuals: Min 1Q Median 3Q Max -2.6847 -0.5460 0.1175 0.6610 2.2976 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.04122 0.09736 0.423 0.673 x 1.14790 0.09514 12.066 <2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.9735 on 98 degrees of freedom Multiple R-squared: 0.5977, Adjusted R-squared: 0.5936 F-statistic: 145.6 on 1 and 98 DF, p-value: < 2.2e-16 </code></pre>
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1. POSummary method results do not seem to be accurate for vectors
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1. POSummary method results do not seem to be accurate for vectors
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