数据平滑的方法主要有:loess局部加权回归(locallyweighted scatterplot smoothing,LOWESS或LOESS)、gam广义可加模型(Generalisedadditive model)、Savitzky-Golay光滑、样条光滑(SmoothingSpline) 1. Loess数据平滑,主要思想是取一定比例的局部数据,在这部分子集中拟合多项式回归曲线,这样就可以观察到数据在局部展现出来的规律和...
(0, 0.1)) + 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:...
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), ...
有的时候画出来的figure过于尖锐, 不够平滑, 这样就不好标注了, 这里也提供了text_smoothing参数用来解决这个问题,0 (none) to 100 (maximum), 大家试一下吧, 我在这里先做一个示范. dat2 %>% ggplot(aes(Sepal.Length, Petal.Length)) + geom_textline(linecolour = "red4", size = 4, vjust = -...
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", ...
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. ...
# draw smoothing line ylim(c(0,500000))+ # encircle 画边界 geom_encircle(aes(x=area,y=poptotal), data=midwest_select, color="red", size=2, expand=0.08)+# labs(subtitle="Area Vs Population", y="Population", x="Area", title="Scatterplot + Encircle", ...
method: smoothing method to be used. Possible values are lm, glm, gam, loess, rlm. method = “loess”: This is the default value for small number of observations. It computes a smooth local regression. You can read more aboutloessusing the R code?loess. ...
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...
R语言 ggplot2 画平滑图 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14.