Michael Friendly wrote: > Thanks to all who replied, particularly Duncan Murdoch, whose solution I > adopted. > It thought it might be of interest to some to see the results and > compare these ways > of representing the distribution of historical events over time. > The events are the items I record on my site, Milestones in the History > of Data > Visualization, > http://www.math.yorku.ca/SCS/Gallery/milestones > > Here is the subset of events post 1500: > > subset<- > c(1530, 1533, 1545, 1550, 1556, 1562, 1569, 1570, 1572, 1581, > 1605, 1603, 1603, 1614, 1617, 1624, 1623, 1626, 1632, 1637, 1644, > 1646, 1654, 1654, 1657, 1663, 1662, 1666, 1669, 1671, 1686, 1686, > 1687, 1693, 1693, 1701, 1710, 1711, 1712, 1724, 1727, 1745, 1741, > 1748, 1752, 1752, 1752, 1753, 1765, 1760, 1763, 1765, 1765, 1781, > 1776, 1778, 1779, 1782, 1782, 1782, 1785, 1786, 1787, 1794, 1795, > 1796, 1798, 1798, 1800, 1800, 1801, 1801, 1809, 1811, 1817, 1819, > 1825, 1821, 1822, 1825, 1827, 1828, 1832, 1830, 1832, 1833, 1833, > 1833, 1833, 1836, 1836, 1837, 1838, 1839, 1839, 1843, 1843, 1843, > 1844, 1846, 1846, 1851, 1852, 1853, 1855, 1857, 1857, 1857, 1861, > 1861, 1863, 1868, 1869, 1869, 1869, 1872, 1872, 1872, 1872, 1873, > 1874, 1874, 1874, 1874, 1875, 1875, 1877, 1877, 1877, 1878, 1878, > 1879, 1879, 1889, 1880, 1882, 1882, 1883, 1884, 1884, 1884, 1884, > 1884, 1885, 1885, 1885, 1888, 1892, 1895, 1896, 1899, 1901, 1904, > 1905, 1910, 1910, 1911, 1912, 1913, 1913, 1913, 1913, 1914, 1914, > 1915, 1920, 1916, 1917, 1925, 1919, 1920, 1923, 1923, 1924, 1925, > 1926, 1929, 1928, 1928, 1929, 1930, 1931, 1933, 1942, 1937, 1939, > 1944, 1944, 1957, 1957, 1958, 1962, 1965, 1966, 1965, 1967, 1968, > 1969, 1969, 1969, 1971, 1971, 1972, 1973, 1973, 1974, 1974, 1974, > 1974, 1975, 1975, 1975, 1975, 1975, 1976, 1977, 1977, 1978, 1978, > 1979, 1981, 1981, 1981, 1982, 1982, 1983, 1983, 1985, 1985, 1987, > 1988, 1988, 1989, 1989, 1990, 1990, 1990, 1990, 1990, 1991, 1991, > 1993, 1992, 1994, 1996, 1999) > > > > The standard density plot, labeled according to periods of time > shows quite interpretable trends, > > # standard plot > plot(density(subset, from=1500, to=1990, bw="sj"), > main="Milestones: Time course of development", > xlab="Year") > ref <-c(1600, 1700, 1800, 1850, 1900, 1950, 1975) > abline(v= ref, lty=3, col="blue") > > labx<-c(1550, 1650, 1750, 1825, 1875, 1925, 1962, 1987) > laby<- 0.003 + 0.0003 * c(0, 1, 2, 3, 5, 3, 5, 2) > txt1 <-c("Early maps", > "Measurement\n& theory", > "New graphic\nforms", > "Modern\nage", > "Golden Age", > "Modern dark\nages", > "Re-birth", > "Hi-D Vis") > text(labx, laby, labels=txt1, cex=1.25, xpd=TRUE) > rug(subset, quiet=TRUE) > > The idea of a reverse log scale for representing events in time was > suggested by > \whom{Heinz}{Von Foerster} in 1930, and this (below) produces the > corresponding > plot; you might imagine this as a view of the density of events standing at > the year 2000, and looking back at time through a log-scaled telescope. > I wanted to see what this looked like, but I'm not sure it is of > particularly > greater use here, except to suggest alternative ways to represent historical > time. Any comments? > > # reverse log plot > rlogyear <- -log(2000-subset) > > #from <- -log(2000-1990) > #to <- -log(2000-start) > # need to swap, so from < to for density > to <- -log(2000-1990) > from <- -log(2000-start) > > > plot(density(rlogyear, from=from, to=to, bw="sj"), axes=F, > main="Milestones: Time course of development", > xlab="Year (reverse log scale)") > rug(rlogyear, quiet=TRUE) > > labels <- pretty(subset) > labels <- c(labels[labels<2000], 1950, 1975, 1990) > axis(1, labels, at=-log(2000-labels)) > > minorticks <- pretty(subset, n=30) > minorticks <- minorticks[minorticks<2000] > axis(1, labels=FALSE, at=-log(2000-minorticks), tcl=-0.25) > axis(2) > > ref <-c(1600, 1700, 1800, 1850, 1900, 1950, 1975) > abline(v= -log(2000-ref), lty=3, col="blue") > > labx<-c(1550, 1650, 1750, 1825, 1875, 1925, 1962, 1987) > laby<- 0.35 + 0.03 * c(-1, .5, 2.2, 4, 1.6, .3, -1, -2) > text(-log(2000-labx), laby, labels=txt1, cex=1.2, xpd=TRUE) > box() > > Final question: > How can I reduce the interline space in multiline strings? > From ?par, I tried lheight: > > text(-log(2000-labx), laby, labels=txt1, cex=1.2, xpd=TRUE, lheight=.8) > NULL > Warning message: > parameter "lheight" couldn't be set in high-level plot() function > > >
(sorry, it send on the wrong reply) Try: olpar <- par(lheight = 0.8, no.readonly = TRUE) text(-log(2000-labx), laby, labels=txt1, cex=1.2, xpd=TRUE) par(olpar) HTH, --sundar ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
