plot <- plot + labs(title = "Multiple Lines Timeplot", x = "Time", y = "Value") 使用print函数打印图表: 代码语言:txt 复制 print(plot) 这样就可以使用ggplot在R中为timeplot绘制多条线了。 请注意,以上答案中没有提及任何特定的云计算品牌商,因为问题与云计算无关。如果您需要了解与云计算相关的...
它还可以将图表保存到指定的位置。...去掉图例: multiple_line + guides(colour=FALSE) #or multiple_line + theme(legend.position = "none") 改变图例位置 4.2K20 网络可视化R包-geomnet geomnet是一个基于ggplot2可视化图形和网络的R包,它使用sna包计算网络布局,并且包含了使用ggplot2绘制圆的geom_circle函数...
# Scatter Plot library(ggplot2) ggplt <- ggplot(Orange,aes(x=circumference,y=age))+ geom_point()+ theme_classic() ggplt # Plotting a single Regression Line ggplt+geom_smooth(method=lm,se=FALSE,fullrange=TRUE) R Copy输出这是一个单一的平滑线,或俗称为回归线。在这里,各点是结合在一起...
Line plot of the variable ‘psavert’ by date: ggplot(data = economics, aes(x = date, y = psavert))+ geom_line() Plot with multiple lines Well plot both ‘psavert’ and ‘uempmed’ on the same line chart. Solution 1: Make two calls togeom_line(): ...
# Scatter Plot library(ggplot2) ggplt<-ggplot(Orange,aes(x=circumference,y=age))+ geom_point()+ theme_classic() ggplt # Plotting a single Regression Line ggplt+geom_smooth(method=lm,se=FALSE,fullrange=TRUE) 输出: 这是一条平滑线或俗称的回归线。在这里,点是合并的,而不是根据任何组进行隔...
(# 设置标题plot.title=element_text(size=20,# 字体大小face="bold",# 字体加粗family="SimSun",# 字体类型color="tomato",# 字体颜色hjust=0.5,# 标题离左边距距离lineheight=1.2),# 线条高度# 设置子标题plot.subtitle=element_text(size=15,# 字体大小family="SimSun",# 字体类型face="bold",# 字体...
geom_line(): 线图 geom_bar(): 条形图 箱线图 e+geom_boxplot() 1. 添加有缺口的箱线图 e+geom_boxplot(notch = TRUE) 1. 按dose分组映射给颜色 e+geom_boxplot(aes(color=dose)) 1. 将dose映射给填充颜色 e+geom_boxplot(aes(fill=dose)) 1. 按supp进行分类并映射给填充颜色 ggplot(ToothGrow...
options(repr.plot.width=4, repr.plot.height=4) labs(x ="Log2 fold change",y ="-Log10(P-value)", title = my_title) + # geom_hline(aes(yintercept=1), colour="grey50", linetype="dashed", size=0.2) + # geom_vline(aes(xintercept=0.5), colour="red", linetype="dashed", si...
(p1 <- p0 + labs(tag = "p1") + theme(plot.background = element_blank(), panel.background = element_blank(), panel.grid = element_blank(), legend.position = "none", axis.line = element_line(color = "black", linewidth = 0.4), axis.ticks.length = unit(-0.25 , "lines"), axi...
15, 13, 40, 17) ) head(df2) ## sex time bill ## 1 Female breakfeast 10 ## 2 Female Lunch 30 ## 3 Female Dinner 15 ## 4 Male breakfeast 13 ## 5 Male Lunch 40 ## 6 Male Dinner 17 # Line plot with multiple