在R中的图形上绘制对数曲线 [英] Draw a logarithmic curve on graph in R
本文介绍了在R中的图形上绘制对数曲线的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有以下数据集,当绘制时具有曲线关系
I have the following set of data and when plotted has a curvilinear relationship
Fish.species.richness Habitat.Complexity log.habitat
17 0.6376 -0.1954858
13 0.2335 -0.6317131
30 0.2866 -0.5427238
20 0.3231 -0.4906630
22 0.1073 -0.9694003
25 0.2818 -0.5500590
2 0.2182 -0.6612448
4 0.0189 -1.7246886
19 0.2960 -0.5287083
25 0.5507 -0.2590849
29 0.2689 -0.5704900
21 0.6286 -0.2016602
18 0.1557 -0.8078509
24 0.6851 -0.1642460
30 0.5059 -0.2959353
32 0.4434 -0.3532043
29 0.3585 -0.4455108
32 0.5920 -0.2276783
当我记录x轴并进行线性回归以找到截距和斜率时,我可以添加一条适合数据的线:
When I log the x axis and do a linear regression to find the intercept and slope I am able to add a line that fits the data:
summary(lm(Fish.species.richness~log.habitat,data=three))
plot(three$log.habitat,
three$Fish.species.richness,
xlab='Log Habitat Complexity',
ylab='Fish Species Richness')
abline(29.178,13.843)
但是,当我随后进行曲线回归并尝试绘制不适合数据的曲线时,我在哪里出错呢?
However when I then do a curvilinear regression and try to plot the curve it doesn't fit the data, where am I going wrong?
mod.log<-lm(Fish.species.richness~log(Habitat.Complexity),data=three)
plot(three$Habitat.Complexity,
three$Fish.species.richness)
abline(mod.log)
推荐答案
使用 ggplot2
:
ggplot(three, aes(Habitat.Complexity, Fish.species.richness))+
geom_point(shape = 1) + stat_smooth(method = "lm", formula = y ~ log(x))
这篇关于在R中的图形上绘制对数曲线的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
查看全文