R绘图：在绘图外操作轴上的十进制数字和图例大小
最亲爱的社区！我有一些问题，使我的阴谋完全美丽使用R阴谋。我在这个主题上做了很多研究，但我没能解决最后剩下的问题（此外，我对RStudio和一般的编码非常陌生）。 我有一个用以下代码创建的绘图：R绘图：在绘图外操作轴上的十进制数字和图例大小,r,plot,decimal,legend,axes,R,Plot,Decimal,Legend,Axes,最亲爱的社区！我有一些问题，使我的阴谋完全美丽使用R阴谋。我在这个主题上做了很多研究，但我没能解决最后剩下的问题（此外，我对RStudio和一般的编码非常陌生）。 我有一个用以下代码创建的绘图： df1 <- read.csv2("df1.csv", header=T, sep=";", dec=".") el_x1 <- df1$element el_y1 <- df1$ratio df2 <- read.csv2("df2.csv", header=T, sep=";
df1 <- read.csv2("df1.csv", header=T, sep=";", dec=".")
el_x1 <- df1$element
el_y1 <- df1$ratio
df2 <- read.csv2("df2.csv", header=T, sep=";", dec=".")
el_x2 <- df2$element
el_y2 <- df2$ratio
df3 <- read.csv2("df3.csv", header=T, sep=";", dec=".")
el_x3 <- df3$element
el_y3 <- df3$ratio
df4 <- read.csv2("df4.csv", header=T, sep=";", dec=".")
el_x4 <- df4$element
el_y4 <- df4$ratio
df5 <- read.csv2("df5.csv", header=T, sep=";", dec=".")
el_x5 <- df5$element
el_y5 <- df5$ratio
df6 <- read.csv2("df6.csv", header=T, sep=";", dec=".")
el_x6 <- df6$element
el_y6 <- df6$ratio
df7 <- read.csv2("df7.csv", header=T, sep=";", dec=".")
el_x7 <- df7$element
el_y7 <- df7$ratio
df8 <- read.csv2("df8.csv", header=T, sep=";", dec=".")
el_x8 <- df8$element
el_y8 <- df8$ratio
df9 <- read.csv2("df9.csv", header=T, sep=";", dec=".")
el_x9 <- df9$element
el_y9 <- df9$ratio
df10 <- read.csv2("df10.csv", header=T, sep=";", dec=".")
el_x10 <- df10$element
el_y10 <- df10$ratio
df11 <- read.csv2("df11.csv", header=T, sep=";", dec=".")
el_x11 <- df11$element
el_y11 <- df11$ratio
par(fin = c (5,5), mar = c(5,5,6,1), xpd = "true")
plot (xlim = c(0.1,250), ylim = c(0.003,4), el_x1, el_y1, log = "xy", xlab = "element (ppm)", ylab = "ratio", pch = 0, cex = 0.7, col = "orange1", las = 1, cex.axis = 1, cex.lab = 1.8, yaxs = "i", xaxs = "i")
points (el_x2, el_y2, pch = 3, cex = 0.7, col = "olivedrab2", las = 1, yaxs = "i", xaxs = "i")
points (el_x3, el_y3, pch = 4, cex = 0.7, col = "darkseagreen1", las = 1, yaxs = "i", xaxs = "i")
points (el_x4, el_y4, pch = 2, cex = 0.7, col = "khaki1", las = 1, yaxs = "i", xaxs = "i")
points (el_x5, el_y5, pch = 1, cex = 0.7, col = "lavender", las = 1, yaxs = "i", xaxs = "i")
points (el_x6, el_y6, pch = 15, cex = 0.7, col = "seagreen", las = 1, yaxs = "i", xaxs = "i")
points (el_x7, el_y7, pch = 15, cex = 1, col = "indianred1", las = 1, yaxs = "i", xaxs = "i")
points (el_x8, el_y8, pch = 16, cex = 1, col = "royalblue1", las = 1, yaxs = "i", xaxs = "i")
points (el_x9, el_y9, pch = 15, cex = 1, col = "red2", las = 1, yaxs = "i", xaxs = "i")
points (el_x10, el_y10, pch = 16, cex = 1, col = "navy", las = 1, yaxs = "i", xaxs = "i")
points (el_x11, el_y11, pch = 16, cex = 1, col = "darkmagenta", las = 1, yaxs = "i", xaxs = "i")
legend ("topright", inset=c(-0.46,0), legend=c("df1verylongname", "df2verylongname", "df3verylongname", "df4verylongname", "df5verylongname", "df6verylongname", "df7verylongname","df8verylongname", "df9verylongname", "df10verylongname", "df11verylongname"), pch=c(0,3,4,2,1,15,15,15,16,16,16), col=c("orange1","olivedrab2","darkseagreen1","khaki1", "lavender", "seagreen", "indianred1", "red2", "royalblue2", "navy", "darkmagenta"))
你好 这是一个使用
ggplot2library(ggplot2)
df <- read.table(stringsAsFactors = FALSE, header = TRUE, text = "sample element ratio
1 0.6175 0.063568046
2 4.678133548 0.008924568
3 3.638120051 0.005707297
4 4.116887372 0.007867378
5 3.090387742 0.059814081
6 10.3098635 0.040600128
7 10.29649952 0.019962218
8 8.241753356 0.012910088
9 26.76850701 0.294731393
10 8.136495793 0.031161747
11 7.993317894 0.021593337
12 10.48361696 0.025802074
13 14.37169851 0.030482194
14 13.19394369 0.032786504
15 3.756483892 0.027182974
16 12.21848391 0.032594756
17 6.560291802 0.049019108
18 10.71912771 0.072430938
19 1.708155726 0.007771124
20 10.0684893 0.054408104
21 16.38043254 0.076730258
22 11.50283707 0.044073631
23 10.11554913 0.064254448
24 13.52364219 0.0707148
25 10.51594695 0.060657727
26 14.51045122 0.07431958
27 16.46248665 0.059498267
28 12.17582522 0.04927026
29 20.83513461 0.059772704
30 18.10278099 0.069570053
31 8.404223175 0.051083018
32 13.96869871 0.069607707
33 9.396932425 0.044899193
34 12.39775022 0.066800258
35 1.625963393 0.009627417
36 16.9934813 0.059799741
37 75.5 0.3775
38 73 0.350961538
39 45.3 0.191949153
40 92.5 0.409292035
41 39.8 0.176106195
42 48.2 0.194354839
43 48.9 0.188076923
44 52.6 0.219166667
45 44.4 0.1734375
46 53.9 0.245
47 168.4 0.559468439
48 165.8 0.587943262
49 87.9 0.412676056
50 99.5 0.328382838
51 105.9 0.318975904
52 172.7 0.579530201
53 190.4 0.602531646
54 206.6 0.586931818
55 101 0.321656051
56 101.8 0.329449838
57 117.7 0.346176471
58 97.9 0.337586207
59 90.5 0.285488959
60 182.1 0.550151057
61 109.9 0.399636364
62 8 0.053619303
63 4.9 0.039294306
64 4.7 0.035768645
65 6.3 0.041888298
66 8.3 0.035698925
67 6.7 0.043733681
68 25.2 0.193548387
69 24.7 0.168600683
70 59.1 0.226610429
71 30.6 0.234303216
72 45.1 0.223710317
73 93.2 0.315611243
74 83.1 0.309151786
75 88.8 0.311360449
76 34.8 0.169014085
77 36.6 0.183550652
79 4.47 0.071565802
80 1.62 0.012413793
81 2.08 0.021010101
82 1.27 0.012330097
83 1.34 0.019705882
84 2.54 0.030274136
85 3.96 0.057641921
86 32.9 0.115438596
87 19.4 0.067595819
88 27.6 0.088461538
89 14.5 0.050699301
90 31 0.096875
91 36.3 0.078232759
92 27.8 0.072395833
93 8.56 0.039447005
94 10.1 0.040239044
95 4.44 0.056060606
96 3.94 0.05317139
97 4.18 0.059123055
98 5.23 0.07568741")
#
ggplot(df, aes(element, ratio, fill="Element 1")) +
geom_point(color="red2") +
#geom_point(color=factor(1), size=1)
coord_cartesian( xlim=c(0, 300), ylim=c(0.0003, 4)) +
scale_x_continuous(labels=c(0, "hundred", 200, ">=300"), breaks=c(0, 100, 200, 300)) +
labs(x = "X axis", y = "Y axis (ratio/ppm)", fill = "Elements") +
theme_minimal() +
theme(#legend.position = "right",
legend.position = c(0.05, 0.95),
legend.justification = c(0.05, 0.95),
axis.title.x = element_text(color="black", hjust = 0),
axis.title.y = element_text(color="black", hjust = 0))
库（ggplot2）
df我无法真正解决第2项到第4项。但是，项目1的关键是使用signif
创建标签，并使用axis
创建自定义轴
首先是一些跨越几个数量级的样本数据：
set.seed(14)
x <- 10^(rnorm(30))
y <- 10^(rnorm(30))
最后，创建不带轴的绘图，添加自定义轴，然后添加框架：
plot(x, y, log = 'xy', axes = FALSE)
axis(1, labels = tick_lbl, at = tick_pos)
axis(2, labels = tick_lbl, at = tick_pos)
box()
欢迎来到stackoverflow。你能给你的数据集举一个最小的可复制的例子吗？谢谢！我添加了一点输入数据。如果还不够，请随时告诉我。谢谢你的回答！是的，这是一个很好的解决方案，但不幸的是，这不是我真正想要的。我必须用不同的轴绘制许多曲线图，因此我可以更快地编辑关联图，以消除不必要的零。你不明白哪个要求？如果你愿意，我可以添加更多数据/这会有帮助（我比前几天稍微不忙）。@Kath\u只是一个想法：尝试编写一个函数myplot（breaks\u vector，labels\u vector）
，封装上面给出的ggplot代码。我不明白你是想用剪辑还是不用剪辑来缩放。我也不理解“距离”问题。如果有这么多的绘图，并且每个绘图都可能在y轴左侧或x轴下方的任何位置有异常值/符号，并且绘图符号可能会干扰轴标签和断开标签，则很难找到通用解决方案。谢谢您的回答！嗯，我希望有一个“更短”的解决方案。我有很多情节，每个人都有不同的轴，所以我担心这个解决方案不会加快我的工作。如此悲伤！是否真的没有办法告诉R不要写50.0，比如定义十进制数字？为什么不使用我提供的代码并定义一个函数？对于任何给定的向量x
和y
，可以键入plot2（x，y）
，并使用函数计算正确的标签并生成绘图。如果每个R脚本都只依赖于base R函数，那么它的用户基数就会小得多。
tick_pos <- c(.03, .1, .3, 1, 3, 10, 30, 100, 300)
tick_lbl <- character(length(tick_pos))
for (i in seq_along(tick_pos)) {
tick_lbl[i] <- signif(tick_pos[i], 1)
}
> signif(tick_pos, 1)
[1] 3e-02 1e-01 3e-01 1e+00 3e+00 1e+01 3e+01 1e+02 3e+02
plot(x, y, log = 'xy', axes = FALSE)
axis(1, labels = tick_lbl, at = tick_pos)
axis(2, labels = tick_lbl, at = tick_pos)
box()