ggplot(linetypes, aes(0, y)) +geom_segment(aes(xend = 5, yend = y, linetype = lty)) +scale_linetype_identity() + geom_text(aes(label = lty), hjust = 0, nudge_y = 0.2) + scale_x_continuous(NULL, breaks = NULL) + scale_y_reverse(NULL, breaks = NULL) 使用名称直接指定线...
scale_linetype_manual(),scale_color_manual()andscale_size_manual(): ggplot2 functions to set manually lines type, color and size. Show the different line types in R The list of line types available in R, includes: “blank”, 1. “solid”, 2. “dashed”, 3. “dotted”, 4. “dot...
p <- ggplot(df2, aes(x = dose, y = len, group = supp))# Change line types and point shapes by groupsp + geom_line(aes(linetype = supp)) + geom_point(aes(shape = supp))# Change line types, point shapes and colors# Change color manually: custom colorp + geom_line(aes(linety...
首先,我们需要加载ggplot2包,该包提供了创建各种图表的功能。使用以下代码加载ggplot2包: AI检测代码解析 library(ggplot2) 1. 创建ggplot对象,并设置x轴和y轴变量,同时设置linetype和shape参数为group变量。这里的data是数据集的名称,x和y是数据集中的两个变量名称,group是用于设置linetype和shape的变量名称。使用以...
Example 2: Adjust Color, Size & Linetype of Line Segment in ggplot2 Plot In this example, I’ll demonstrate how to change the color, size and linetype of our line segment. Consider the R code below: ggp+# Modify color, size & linetypegeom_segment(x=2.5, ...
也可以通过 scale_linetype_manual()手段设置线的类型 # Set line types manually ggplot(df2, aes(x=dose, y=len, group=...不同分组,绘制不同颜色的线 pggplot(df2, aes(x=dose, y=len, group=supp)) + geom_line(aes(color=supp))+ geom_point...修改线的大小 # Change line size ggplot(...
(sex=="F") #plot data %>% ggplot( aes(x=year, y=n, group=name, color=name)) + geom_line...="none") + ggtitle("Popularity of American names in the previous 30 years") + theme_ipsum() geom_segment...Ashley, label=year)) + geom_point(color="#69b3a2") + geom_text_repel...
The problem is that we haven’t specified that the lines should be grouped by transmission, so it’s just using the already provided number of cylinders. To handle this, we assign thegroupandlinetypeaesthetics to our second categorical variable,am. Note thatgroupis handled inggplot, butlinetyp...
linetype = c(0, 0, 1, 1))) # prepare geoms gglines <- geom_line(aes(x = Date, y = Val2_scl, color = ID, group = ID), na.rm = TRUE) # generate ggplot ggplot(dfAll) + ggtiles + gglines + scale_y_continuous(sec.axis = dup_axis(breaks = rev(brks2), labels = rev...
() # A line graph ggplot(data=dat1, aes(x=time, y=total_bill, group=sex, shape=sex, colour=sex)) + geom_line(aes(linetype=sex), size=1) + # Set linetype by sex geom_point(size=3, fill="white") + # Use larger points, fill with white expand_limits(y=0) + # Set y ...