R 找到ggplot2的“我的欲望”情节
我试图在R 找到ggplot2的“我的欲望”情节,r,ggplot2,R,Ggplot2,我试图在ggplot2中绘制散点图。然而，我没有找到如何制作我的最终散点图 如果使用“TBV1.txt”下面的数据集运行R代码，您将看到绘图。如果你考虑的情节中的紫色点，认为在X轴的动画1，我想把紫色点到中心，正好是在垂直线的情节中间。然后，与此移动相关的其余点将围绕紫色点 你能给我一个建议我怎么做？此外，我还将附加数据集和我得到这个图的R程序。你认为修改这个R码能给我的欲望图吗 library(grid) library(reshape2) library(ggplot2) library(R
ggplot2library(grid)
library(reshape2)
library(ggplot2)
library(RColorBrewer)
ss <- read.table("TBV1.txt",header = TRUE)
attach(ss)
b1<-ggplot(ss, aes(x=ID, y=TBV, color=Group,size=TBV)) +
geom_jitter(position=position_jitter(0.3))+ xlab("Best Animal") + ylab("TBV Values") + ggtitle("") +
scale_color_discrete(name = "Group Level")
print(b1)
您正在抖动数据点，然后希望最后一个数据点位于中心。这行不通。此外，
附加xx=c（rnorm（nrow（ss）-1，sd=0.3），0）xlim（c（-1,1））ID AnimID TBV Group
Anim1 46545 1.564848 Anim1rc8085.high650
Anim1 47447 2.021213 Anim1rc8085.high650
Anim1 47452 1.190274 Anim1rc8085.high650
Anim1 47541 1.025038 Anim1rc8085.high650
Anim1 47595 1.642635 Anim1rc8085.high650
Anim1 47721 1.4966 Anim1rc8085.high650
Anim1 47777 0.757948 Anim1rc8085.high650
Anim1 48072 0.494221 Anim1rc8085.high650
Anim1 48158 1.145181 Anim1rc8085.high650
Anim1 48180 0.853342 Anim1rc8085.high650
Anim1 48856 2.312334 Anim1rc8085.high650
Anim1 48901 1.49454 Anim1rc8085.high650
Anim1 49252 0.792544 Anim1rc8085.high650
Anim1 49316 1.589449 Anim1rc8085.high650
Anim1 49355 1.849835 Anim1rc8085.high650
Anim1 49366 1.615332 Anim1rc8085.high650
Anim1 49656 1.73856 Anim1rc8085.high650
Anim1 49727 1.117235 Anim1rc8085.high650
Anim1 49769 0.536753 Anim1rc8085.high650
Anim1 49773 1.895599 Anim1rc8085.high650
Anim1 49820 2.042025 Anim1rc8085.high650
Anim1 49856 2.149416 Anim1rc8085.high650
Anim1 50106 1.5683 Anim1rc8085.high650
Anim1 50398 0.726094 Anim1rc8085.high650
Anim1 50450 2.239882 Anim1rc8085.high650
Anim1 50821 1.384881 Anim1rc8085.high650
Anim1 51254 0.468043 Anim1rc8085.high650
Anim1 51356 0.367031 Anim1rc8085.high650
Anim1 51465 1.7357 Anim1rc8085.high650
Anim1 52015 1.424809 Anim1rc8085.high650
Anim1 52121 0.730174 Anim1rc8085.high650
Anim1 52485 0.716409 Anim1rc8085.high650
Anim1 52573 0.38916 Anim1rc8085.high650
Anim1 53230 1.352233 Anim1rc8085.high650
Anim1 53389 1.865103 Anim1rc8085.high650
Anim1 53556 -0.163423 Anim1rc8085.high650
Anim1 53651 1.371785 Anim1rc8085.high650
Anim1 53894 0.972286 Anim1rc8085.high650
Anim1 53969 0.962242 Anim1rc8085.high650
Anim1 54057 0.502399 Anim1rc8085.high650
Anim1 54720 1.239072 Anim1rc8085.high650
Anim1 54869 1.35958 Anim1rc8085.high650
Anim1 55074 1.903243 Anim1rc8085.high650
Anim1 55184 1.760572 Anim1rc8085.high650
Anim1 55289 1.821192 Anim1rc8085.high650
Anim1 55455 1.398092 Anim1rc8085.high650
Anim1 55564 1.608354 Anim1rc8085.high650
Anim1 55928 2.07984 Anim1rc8085.high650
Anim1 55949 2.251825 Anim1rc8085.high650
Anim1 55951 1.784223 Anim1rc8085.high650
Anim1 56165 2.34612 Anim1rc8085.high650
Anim1 56523 0.843988 Anim1rc8085.high650
Anim1 56654 1.84453 Anim1rc8085.high650
Anim1 56757 1.157245 Anim1rc8085.high650
Anim1 56821 1.056802 Anim1rc8085.high650
Anim1 56864 1.382028 Anim1rc8085.high650
Anim1 56915 1.030436 Anim1rc8085.high650
Anim1 56923 1.595493 Anim1rc8085.high650
Anim1 56962 1.226185 Anim1rc8085.high650
Anim1 57303 1.018069 Anim1rc8085.high650
Anim1 57477 1.309901 Anim1rc8085.high650
Anim1 57716 1.739054 Anim1rc8085.high650
Anim1 57737 1.119489 Anim1rc8085.high650
Anim1 57898 1.104568 Anim1rc8085.high650
Anim1 58094 1.801297 Anim1rc8085.high650
Anim1 58254 1.607398 Anim1rc8085.high650
Anim1 58269 2.17588 Anim1rc8085.high650
Anim1 58335 1.847848 Anim1rc8085.high650
Anim1 58426 1.781369 Anim1rc8085.high650
Anim1 58704 2.270906 Anim1rc8085.high650
Anim1 58729 1.274592 Anim1rc8085.high650
Anim1 58749 1.485773 Anim1rc8085.high650
Anim1 58845 0.962652 Anim1rc8085.high650
Anim1 59125 1.882016 Anim1rc8085.high650
Anim1 59162 1.942503 Anim1rc8085.high650
Anim1 59174 0.750822 Anim1rc8085.high650
Anim1 59253 1.545588 Anim1rc8085.high650
Anim1 59318 0.915935 Anim1rc8085.high650
Anim1 59445 1.828562 Anim1rc8085.high650
Anim1 59499 1.355698 Anim1rc8085.high650
Anim1 60014 1.595345 Anim1rc8085.high650
Anim1 60056 1.496742 Anim1rc8085.high650
Anim1 60057 1.763686 Anim1rc8085.high650
Anim1 60186 0.925772 Anim1rc8085.high650
Anim1 60347 0.911981 Anim1rc8085.high650
Anim1 60674 1.128057 Anim1rc8085.high650
Anim1 60759 1.489789 Anim1rc8085.high650
Anim1 61032 2.927886 Anim1rc8085.high650
Anim1 61175 1.782051 Anim1rc8085.high650
Anim1 61399 1.318839 Anim1rc8085.high650
Anim1 47099 1.180385 Anim1rc8590.high650
Anim1 47578 1.0676 Anim1rc8590.high650
Anim1 48106 1.898607 Anim1rc8590.high650
Anim1 49088 1.822606 Anim1rc8590.high650
Anim1 49307 1.454201 Anim1rc8590.high650
Anim1 49374 2.324009 Anim1rc8590.high650
Anim1 49573 2.018634 Anim1rc8590.high650
Anim1 49757 1.769592 Anim1rc8590.high650
Anim1 51577 1.451644 Anim1rc8590.high650
Anim1 52011 0.813521 Anim1rc8590.high650
Anim1 52135 1.927702 Anim1rc8590.high650
Anim1 52690 1.36903 Anim1rc8590.high650
Anim1 54265 1.331152 Anim1rc8590.high650
Anim1 54267 1.576529 Anim1rc8590.high650
Anim1 54497 1.891641 Anim1rc8590.high650
Anim1 54656 1.701011 Anim1rc8590.high650
Anim1 54707 1.586344 Anim1rc8590.high650
Anim1 56711 1.586944 Anim1rc8590.high650
Anim1 57152 1.673363 Anim1rc8590.high650
Anim1 58093 2.074895 Anim1rc8590.high650
Anim1 59695 0.970035 Anim1rc8590.high650
Anim1 59702 0.971871 Anim1rc8590.high650
Anim1 59784 1.787217 Anim1rc8590.high650
Anim1 60134 1.508719 Anim1rc8590.high650
Anim1 60691 1.674558 Anim1rc8590.high650
Anim1 60940 0.980665 Anim1rc8590.high650
Anim1 49265 1.590452 Anim1rc90.high650
Anim1 51105 1.780677 Anim1rc90.high650
Anim1 57020 1.547244 Anim1rc90.high650
Anim1 57922 1.498998 Anim1rc90.high650
Anim1 61034 0.960186 Anim1rc90.high650
Anim1 47652 1.265 SelectedAnimal
ggplot(ss, aes(x = c(rnorm(nrow(ss) - 1, sd = 0.3),0), y = TBV, color = Group, size = TBV)) +
geom_point() +
xlab("Best Animal") +
ylab("TBV Values") +
ggtitle("") +
scale_color_discrete(name = "Group Level") +
xlim(c(-1,1))