之前我们学习了ggplot绘制单变量，两个连续变量的图形，两个离散型变量。对于一个离散型变量，一个连续型变量，有很多作图方式，包括箱图，点图等等 • geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() ...
这里新学到的知识点是使用stat_summary()函数添加置信区间,之前自己也实现过这个图,但是需要提前算好置信区间和平均值,比如之前的推文R语言ggplot2画带有置信区间的折线图和分组求均值遇到的一个问题,如果换成stat_summary()这个函数以后就方便很多 好了,今天的内容就到这里了 大家如果需要推文的示例数据和代码的话可...
ggplot(economics, aes(x=date)) + geom_line(aes(y = psavert), color = "darkred") + geom_line(aes(y = uempmed), color="steelblue", linetype="twodash") + theme_minimal()require(reshape2)df <- melt(economics[, c("date", "psavert", "uempmed")], id="date")ggplot(df,...
# Basic line plotggplot(data=economics, aes(x = date, y = pop))+ geom_line()# Plot a subset of the datass <- subset(economics, date > as.Date("2006-1-1")) ggplot(data = ss, aes(x = date, y = pop)) + geom_line() Change line size : ggplot(data = economics, aes(x =...
ggplot(data, aes(x, y))+# Draw ggplot2 plotgeom_line()+geom_point() As shown in Figure 1, we created a line and point plot (i.e. a graph where the lines connect the points) using the ggplot2 package with the previously shown R syntax. ...
The following R code explains how to draw a line segment and a curve simultaneously to a ggplot2 plot. For this, we have to add the geom_segment function as well as the geom_curve function to our ggp plot object: ggp+# Draw line segment & curvegeom_segment(x=2.5, ...
function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ... ... other arguments to be passed to geom_dotplot. Details...
Note on line chartThis section is tightly linked with other sections. A connected scatterplot is almost the same thing, but each observation is represented as a dot. An area chart fills the surface between the line and the X axis. More generally, the time series section can interest you. ...
在基础的图形上加一些注释,或加一些对比.基本上这就是我们作图的方式,那么ggplot2就跟这差不多了,1....
Line charts are often displayed together with confidence intervals.ggplot2offers 2 main functions to build them.geom_ribbonallows to build the area around the curve from precomputed values.geom_smoothwill compute a model for you and plot the result directly. ...