调整中的R

Question

豆情节和传说我有一个关于我的豆情节和传说中的问题。我无法找到一个方法来做到以下几点

• 改变X轴标签（从communication_focused到communication-focused）
• 显示更精细的方式y轴（如减免应该是从0开始，25 ，50,75,100,125 ... 300）
• 把传说中的情节
• 保持在传说中比我得到现在
• 标志着在每个类别中的mean（黑色实线越大文本的字体以外）在“红”色的每个类别

这里是我的代码：

beanplot(onset_s~ group*meaning, data=mu3,ll = 0.08, 
    main = "Distribution of movement units", side = "both", 
    col = list("black", c("grey", "white")), 
    axes=T, beanlines = "median") 

legend("topleft",fill = c("grey", "black"), legend = c("Non-Performers", "Experts"), cex=0.65) 

我的数据集：

tier   meaning  onset_sgroup 
head_face_mu self_focused 0 expert 
head_face_mu self_focused 0 expert 
head_face_mu context_focused 0 expert 
upper_body_mu self_focused 0 expert 
upper_body_mu self_focused 0 expert 
head_face_mu communication_focused 0 novice 
head_face_mu context_focused 0 novice 
head_face_mu context_focused 0 novice 
upper_body_mu self_focused 0 novice 
upper_body_mu self_focused 0 novice 
upper_body_mu self_focused 0 novice 
head_face_mu self_focused 0.18 novice 
lower_body_mu self_focused 0.667 novice 
head_face_mu communication_focused 0.69 novice 
head_face_mu context_focused 1.139 novice 
head_face_mu context_focused 1.301 novice 
head_face_mu context_focused 1.32 novice 
lower_body_mu self_focused 1.66 novice 
head_face_mu context_focused 1.98 novice 
lower_body_mu self_focused 2.205 novice 
head_face_mu communication_focused 2.297 novice 
head_face_mu context_focused 2.349 novice 
lower_body_mu self_focused 2.417 novice 
upper_body_mu self_focused 2.666 novice 
head_face_mu self_focused 2.675 expert 
head_face_mu context_focused 3.218 novice 
head_face_mu context_focused 3.353 novice 
head_face_mu context_focused 3.436 expert 
head_face_mu context_focused 3.588 novice 
head_face_mu context_focused 3.697 novice 
upper_body_mu self_focused 4.006 novice 
upper_body_mu context_focused 4.033 novice 
upper_body_mu self_focused 4.06 expert 
head_face_mu context_focused 4.33 novice 
upper_body_mu self_focused 4.332 novice 
upper_body_mu self_focused 4.44 novice 
head_face_mu context_focused 4.738 novice 
lower_body_mu self_focused 5.395 novice 
head_face_mu self_focused 5.428 novice 
lower_body_mu self_focused 5.926 novice 
head_face_mu context_focused 6.283 novice 
head_face_mu context_focused 7.002 novice 
head_face_mu self_focused 7.031 novice 
lower_body_mu self_focused 7.189 novice 
upper_body_mu communication_focused 7.45 novice 
lower_body_mu self_focused 7.632 expert 1.144 
head_face_mu self_focused 7.739 expert 2.159 
lower_body_mu self_focused 8.943 novice 9.517 
head_face_mu context_focused 9.002 expert 4.608 

这是我的图：

enter image description here

任何的反馈和评论都超过欢迎！

预先感谢您。

Answer 1

嗯，我已经用它玩了一段时间，我已成功地回答你所有的问题只是改变mean线的颜色。在col = arguement在beanplot()功能集合起来似乎有点挑剔我。然而，这里是我对一切：

par(xpd=F, mai = c(1, 1, 1, 2)) 
beanplot(onset_s~ group*meaning, data=df,ll = 0.08, 
     main = "Distribution of movement units", side = "both", 
     col = list("black", c("grey", "white")), 
     axes=F, beanlines = "median", ylim = c(-5, 15)) #axes = F let's you define your own axes 

#now you can define the x and y axes like this 
#note - this also takes care of your renaming issue 
#although you could just change the character values using subsetting 
#axis 1 is the x axis 
axis(1, at = 1:3, labels = c("communication-focused", "context-focused",  "self-focused")) 

#axis 2 is the y axis, and you can change the values in the "at =" vector 
axis(2, at = c(-5, -2.5, 0, 2.5, 5, 7.5, 10, 12.5, 15)) 


#this creates the outer box around the plot, which is removed with axes = F 
box(which = "plot") 

#This now lets you add things to the graphic system outside of the plotting area 
par(xpd=TRUE) 

#you will need to change the x and y coordinates 
#also, the "cex =' arguement of the legend function controls 
#the size of the text, so by setting this equal to one, you achieve larger text 
legend(3.7, 15.8,fill = c("grey", "black"), legend = c("Non-Performers", "Experts"), cex=1) 

现在，我在col =论点试图内beanplot多种不同的组合，以解决您平均线的问题。然而，我所得到的最接近的是将这条线变成了红色，但随后摆脱了每个bean的分割设置。我想你应该刚刚玩不同的组合，并阅读?beanplot帮助页面的具体参数的描述。

无论如何，我希望这有助于

UPDATE我已经加入了mai = c()参数的par()第一个函数调用。此参数允许您通过以英寸为单位指定每个相应边距的边距大小（按照从底部，左侧，顶部，右侧的顺序）来控制图形周围的边距。这应该可以解决你的问题。我添加了图形图像以显示它当前的样子：