bill=c(10,30,15))head(df)#creat line plots and change line typeslibrary(ggplot2)#basic line plot with pointsggplot(df,aes(x=time,y=bill,group=1))+geom_line()+geom_point()#change the line typeggplot(df,aes(x=time,y=bill,group=1))+geom_line(linetype="dashed")+geom_point()#cre...
ggplot(data, aes(x, y)) + # Draw ggplot2 plot geom_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 functiongeom_errorbar()can be used to produce a line graph with error bars : # Standard deviation of the mean ggplot(df3, aes(x=dose, y=len, group=supp, color=supp)) + geom_errorbar(aes(ymin=len-sd, ymax=len+sd), width=.1) + geom_line() + geom_point()+ scale_...
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 range to include 0 scale_colour_hue(name="Sex of payer", # Set legend title l=30) + # Use darker colors ...
() # 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 ...
An area chart is an extension of a line graph, where the area under the line is filled in. While a line graph measures change between points, an area chart emphasizes the data volume. 代码语言:javascript 复制 # Data manipulation before making time series plot ...
https://stackoverflow.com/questions/7549694/add-regression-line-equation-and-r2-on-graph 首先是模拟一份数据集 代码语言:javascript 代码运行次数:0 复制Cloud Studio 代码运行 df<-data.frame(x = c(1:100)) df$y <- 2 + 3 * df$x + rnorm(100, sd = 40) head(df) ggplot2基本的散点图并...
ggplot(data=point3, aes(x=Person, y=Percentage, fill=factor(Quarter))) + geom_bar(colour="black", stat="identity", position=position_dodge(width=0.9), width=.8) + geom_errorbar(aes(y=TotalPercentage, ymax=TotalPercentage, ymin=TotalPercentage), linetype="solid",size=1) + scale_fill...
# A basic graph lp <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, shape=sex)) + geom_line() + geom_point() lp 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. # 修改图例 lp + scale_shape_discrete(name ="Payer",
# install.packages("ggplot2")library(ggplot2)# Data with dates and variables. The column 'date' is of class "Date"df<-economics[economics$date>as.Date("2000-01-01"),]ggplot(df,aes(x=date,y=unemploy))+geom_line() As stated before, you can add the points to the time series chart...