ylim(c(0, 500000)) + # draw smoothing line geom_encircle(aes(x=area, y=poptotal), data=midwest_select, color="red", size=2, expand=0.08) + # encircle labs(subtitle="Area Vs Population", y="Population", x="Area", title="Scatterplot + Encircle", caption="Source: midwest") 2、...
ylim(c(0, 500000)) + # draw smoothing line geom_encircle(aes(x=area, y=poptotal), data=midwest_select, color="red", size=2, expand=0.08) + # encircle labs(subtitle="Area Vs Population", y="Population", x="Area", title="Scatterplot + Encircle", caption="Source: midwest") 图片 ...
ggplot(economics) + geom_line(aes(x=date, y=pce, color="pcs")) + geom_line(aes(x=date, y=unemploy, color="unemploy")) + scale_color_discrete(name="Legend") + labs(title="Economics") +# plot multiple time series using 'geom_line'stheme(axis.text.x = element_text(size =10), ...
xlim(c(0, 0.1)) + # draw smoothing line
ggplot(diamonds, aes(x=carat, y=price, color=cut)) + geom_point() + geom_smooth() + # 设定范围 ylim(c(0, 10000)) + labs(title="Datapoints deleted: Note the change in smoothing lines!") `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")' Warning ...
ylim(c(0, 500000)) + # draw smoothing line geom_encircle(aes(x=area, y=poptotal), data=midwest_select, color="red", size=2, expand=0.08) + # encircle labs(subtitle="Area Vs Population", y="Population", x="Area", title="Scatterplot + Encircle", caption="Source: midw...
color, size and linetype: Change the line color, size and type. fill: Change the fill color of the confidence region. A simplified format of the function `geom_smooth(): geom_smooth(method="auto", se=TRUE, fullrange=FALSE, level=0.95) method : smoothing method to be used. Possible va...
library(ggplot2) by_cyl <- mtcars %>% group_by(cyl) %>% summarize(# spline smoothing for a single line plot spline_d <- as.data.frame(spline(by_cyl$cyl, by_cy 浏览9提问于2021-12-13得票数 2 回答已采纳 1回答 geom_bar与geom_linerange的技术差异 、 当我将这些函数与coord_polar (...
ggplot(data1,aes(x=x,y=y))+geom_line() 1. ggplot(data1,aes(x=x,y=y))+geom_line()+geom_point()+geom_smooth() 1. ## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method. ...
考虑ggplot2包的midwest数据集, 这是美国中西部若干个县的数据。 选取其中的IL和IN两个州的数据, 只要将州名映射为fill维, 就可以在geom_histogram()或者geom_line(stat = "density")对各县面积作直方图时按不同州分段显示: midwest|>filter(state %in%c("IL","IN")) |>ggplot(aes( ...