R语言可视化plot函数中不同lty参数对应的线条类型(实现、虚线、点线)、对比可视化不同线条类型的差异 TypeDescription 0 Blank 1 Solid line (default) 2 Dashed line 3 Dotted line 4 Dotdash line 5 Longdash line 6 Twodash line matplot(M, type = c("l"), lty = 1:6, col = "black", lwd...
plot也可以像boxplot和barplot一样使用变量间的函数形式来指明变量: plot(formula, data = parent.frame(), ..., subset, ylab = varnames[response], ask = dev.interactive()) 1. 2. formula、data、subset参数同barplot.formula; lines、points和text等低级函数也有此用法。 par(mfrow = c(1,2)) plot...
如果设为 “scaled”,那么x0、x1和path中的x坐标指的是 x 轴上的具体数据值 或者 是绘图区域的宽度比例(如果xref设为 “paper”);如果设为 “pixel”,xanchor指定了数据(data)或绘制分数(plot fraction)的 x 位置,但是x0、x1和path中的x坐标 是相对于xanchor的像素,这样,shape可以有一个固定的宽度,同时...
“dotted”, “dotdash”, “longdash”, “twodash”等类型;lineend为线条末端的形态,有“round”, “butt” or “square”等类型。 3.1示例 我们设置轴线为橘黄色、粗细为2,线条类型为dotdash,线条末端为圆形。 R+ theme( axis.line = element_line( colour = "orange", size = 2, linetype = "dotdas...
lty:line type,线性 0:或"blank",不可见线 1:或“solid“,实线 (默认的) 2:或“dashed” 3:或”dotted“ 4:或”dotdash“ 5:或”longdash“ 6:或”twodash“ plot函数 基本用法:plot(x, y, ...) plot函数的默认值: plot(x,y=NULL,type="p",xlim=NULL,ylim=NULL, ...
#change the visualization,using lines insteadofribbonggplot(data,aes(Year,Anomaly10y))+geom_line(aes(y=Anomaly10y-Unc10y),colour="blue",linetype="dotted")+geom_line(aes(y=Anomaly10y+Unc10y),colour="red",linetype="dotted")+geom_line() ...
plot.title= element_text(size =14, hjust = .5, color ="gray30"), strip.text= element_text(color ="gray30", size =12), axis.line.y= element_line(size=1,linetype ='dotted'), axis.line.x=element_blank(), axis.text.x= element_text(vjust =0), ...
可以按这个顺序来输入线形命令：线形 - Solid line (default)-- Dashed line : Dotted line -. Dash-dot line 颜色 r Red g Green b Blue c Cyan m Magenta y Yellow k Black w White 数据点的形状 + Plus sign o Circle Asterisk . Point x Cross ...
Based on Figure 1 you can also see that our line graph is relatively plain and simple. In the following examples, I’ll explain how to modify the different parameters of this plot. So keep on reading! Example 2: Add Main Title & Change Axis Labels ...
yval, group = cond)) + geom_line(aes(linetype=cond), # 线的类型取决于cond size = 1.5) + # 粗线 geom_point(aes(shape=cond), # 点形状取决于cond size = 4) + # 大型点标记 scale_shape_manual(values=c(6,5)) + # 改变点形状 scale_linetype_manual(values=c("dotdash", "dotted"...