image.png 根据上图确实可以看出学术期刊的作者数量确实是有增加的趋势的 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...
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...
# 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 =...
After running the previously shown R syntax the ggplot2 scatterplot shown in Figure 4 has been drawn. As you can see, we have added three lines with different colors and a legend on the right side of the plot. Example 4: Add Curve to ggplot2 Plot In this example, I’ll demonstrate h...
library(ggplot2)主要函数及参数 • Key functions: geom_line(), geom_step(), geom_path()• Key arguments to customize the plot: alpha, color, linetype and size.绘图数据 df <- data.frame(dose=c("D0.5", "D1", "D2"), len=c(4.2, 10, 29.5))head(df)df2 <- data.frame...
ggplot(aes(x = cyl, y = hp_mean)) Adding points# Next, we want to represent our data in our plot.ggplot2uses various geoms to do this, which are layered into the plot using+. Let’s start with the points themselves by usinggeom_point(): ...
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,...
2)Example: Drawing ggplot2 Plot with Lines & Points 3)Video, Further Resources & Summary Let’s start right away! Constructing Exemplifying Data We’ll use the data below as basement for this R tutorial: data<-data.frame(x=1:5,# Create example datay=c(1,7,4,1,2))data# Print exam...
ggplot(data,aes(x=Time, y=Expression,linetype=type)) + geom_line() 今天画的图也比较简单,小仙就多啰嗦几句。有段时间小仙觉得R语言作图这个系列差不多要结束了,因为常见的图表都快画了一遍了,有点江郎才尽的感觉,不知道接下来还能画什么。好在经过一段时间的学习之后,又有了新的感悟,突然又觉得图是画...
library(ggplot2) library(reshape2) #注释:package使用之前需要调用 Step4.绘图 data_melt<-melt (data, id.vars="Cell") ave_melt<-melt (ave, id.vars = "Type") #注释:melt()函数把表格中的宽数据变成长数据,注意id.vars对应的参数是相应标签列的列名 p<-ggplot()+geom_line(data=data_melt,aes...