| anscombe | R Documentation |
A set of four bivariate datasets with the same conditional means, conditional variances, linear regressions, and correlations, but with dramatically different forms of association.
data(anscombe)
A data frame with 11 observations on the following 8 variables.
x1The first conditional variable in the first bivariate dataset.
y1The second conditional variable in the first bivariate dataset.
x2The first conditional variable in the second bivariate dataset.
y2The second conditional variable in the second bivariate dataset.
x3The first conditional variable in the third bivariate dataset.
y3The second conditional variable in the third bivariate dataset.
x4The first conditional variable in the fourth bivariate dataset.
y4The second conditional variable in the fourth bivariate dataset.
Anscombe (1973) used these datasets to demonstrate that summary statistics are inadequate for describing association.
Anscombe, F. J. (1973) Graphs in statistical analysis. American Statistician 27 (1): 17-21.
Anscombe, F. J. (1973) Graphs in statistical analysis. American Statistician 27 (1): 17-21.
# dev.new(height=3.5)
op <- par(mfrow=c(1,4),mar=c (0,0,2,3), oma = c(5, 4.2, 0, 0))
with(anscombe, plot(x1, y1, xlab = "", ylab = "", main = bquote(paste(italic(r),
" = ",.(round(cor(x1, y1),2)))))); abline(3,0.5)
with(anscombe, plot(x2, y2, xlab = "", ylab = "",, main = bquote(paste(italic(r),
" = ",.(round(cor(x2, y2),2)))))); abline(3,0.5)
with(anscombe, plot(x3, y3, xlab = "", ylab = "",, main = bquote(paste(italic(r),
" = ",.(round(cor(x3, y3),2)))))); abline(3,0.5)
with(anscombe, plot(x4, y4, xlab = "", ylab = "",, main = bquote(paste(italic(r),
" = ",.(round(cor(x4, y4),2)))))); abline(3,0.5)
mtext(expression(italic(y[1])),side=1, outer = TRUE, line = 3)
mtext(expression(italic(y[2])),side=2, outer = TRUE, line = 2.6)
mtext("(a)",side=3, at = -42, line = .5)
mtext("(b)",side=3, at = -26, line = .5)
mtext("(c)",side=3, at = -10.3, line = .5)
mtext("(d)",side=3, at = 5.5, line = .5)
par(op)
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