【发布时间】:2012-01-01 14:26:45
【问题描述】:
我正在绘制在来自两个群体的每个个体中测量的两种同位素的相关系数(值 = 0.0:1.0)。我想为我的散点图设置一个固定的纵横比,这样无论图形设备如何,x 轴和 y 轴的大小都完全相同。有什么建议吗?
这是我在 R 中的第一个情节,感谢任何对我的代码进行改进的 cmets?最后,是否值得投资学习基本的绘图技术,还是应该直接跳到 ggplot2 或 lattice?
我的剧情脚本:
## Create dataset
WW_corr <-
structure(list(South_N15 = c(0.7976495, 0.1796725, 0.5338347,
0.4103769, 0.7447027, 0.5080296, 0.7566544, 0.7432026, 0.8927161
), South_C13 = c(0.76706752, 0.02320767, 0.88429902, 0.36648357,
0.73840937, 0.0523504, 0.52145159, 0.50707858, 0.51874445), North_N15 = c(0.7483608,
0.4294148, 0.9283554, 0.8831571, 0.5056481, 0.1945943, 0.8492716,
0.5759033, 0.7483608), North_C13 = c(0.08114805, 0.47268136,
0.94975596, 0.06023815, 0.33652839, 0.53055943, 0.30228833, 0.8864435,
0.08114805)), .Names = c("South_N15", "South_C13", "North_N15",
"North_C13"), row.names = c(NA, -9L), class = "data.frame")
opar <- par()
## Plot results
par(oma = c(1, 0, 0, 0), mar = c(4, 5, 2, 2))
plot(1,1,xlim=c(0:1.0), ylim=c(0:1.0), type="n", las=1, bty="n", main = NULL,
ylab=expression(paste("Correlation Coefficient (r) for ", delta ^{15},"N ",
"\u0028","\u2030","\u0029")),
xlab=expression(paste("Correlation Coefficient (r) for ", delta ^{13},"C ",
"\u0028","\u2030","\u0029")))
points(WW_corr$South_N15, WW_corr$South_C13, pch = 23, cex = 1.25,
bg ="antiquewhite4", col = "antiquewhite4")
points(WW_corr$North_N15, WW_corr$North_C13, pch = 15, cex = 1.25,
bg ="black")
axis(1, at = seq(0, 1.0, by = 0.1), labels = F, tick = TRUE, tck = -0.01)
axis(2, at = seq(0, 1.0, by = 0.1), labels = F, tick = TRUE, tck = -0.01)
abline(h=.86, v=.86, col = "gray60", lty = 2)
legend("topleft", c("North", "South"), pch = c(15, 23),
col = c("black", "antiquewhite4"), pt.bg = c("black", "antiquewhite4"),
horiz=TRUE, bty = "n")
par(opar)
【问题讨论】:
-
是的,照我说的做,不要照我做的:-),学习
ggplot。 -
你显然已经很好地掌握了基本图形的基础知识,所以我建议至少对 ggplot2/lattice 有所了解,因为考虑到这个问题的质量,它不会是一个巨大的问题为您投资时间。它们完全不同,但您会很快掌握它们。一旦您了解了每种语法的一般语法+流程,您就可以决定要花大部分时间在哪个语法上。但是对每种语法有基本的了解是非常值得的。
-
希望看到最终情节的图片!
标签: r aspect-ratio scatter-plot