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. Video, Further Resources & Summary Have a ...
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 运行 AI代码解释 df<-data.frame(x = c(1:100)) df$y <- 2 + 3 * df$x + rnorm(100, sd = 40) head(df) ggplot2基本的散点图并添加拟合...
This post explains how to build a line chart that represents several groups with ggplot2. It provides several examples with explanation and reproducible code.
Note that I saved everything except the original graph’s first ggplot() line of code to the custom geom.Here’s how simple it is to use that new geom:ggplot(snowfall2000s, aes(x = Winter, y = Total)) + my_geom_col()Sharon MachlisGraph created with a custom ggpackets geom.ggpac...
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 代码运行次数:0 运行 AI代码解释 ...
Plot easily a histogram plot with R package easyGgplot2. usage ggplot2.histogram(data, xName=NULL, groupName=NULL, position=c("identity", "stack", "dodge"), addMeanLine=FALSE, meanLineColor=NULL, meanLineType="dashed", meanLineSize=1, addDensityCurve=FALSE, densityFill="#FF6666", densi...
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_...
theme(panel.grid.major.y = element_blank(),panel.grid.minor.x = element_blank(),axis.line.x = element_line(size = 1, colour = "black", linetype=1),axis.title=element_blank(),legend.position="bottom") 为了更好的说明,我想调整图的线条和形状。线条应该粗一点,形状应该大一点。
(p8<-ggplot(data.frame(x = c(-6,6)), aes(x = x)) + stat_function(fun = dt, args = list(df = 18), geom = "line", linewidth = 0.4) + labs(tag = "p8", x = expression(t[0]), y = "Probability Density", caption = "R_ggplot绘图:基础技能(1)-绘制第二坐标轴", title ...
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 ...