如何对 R 中某个数据集的摘要进行线性回归？

Question

我想在 R中创建一个线性回归，其中我使用数据集globalterrorismdb_0718dist在 y 轴上显示每年（2000 年到 2017 年之间）的攻击次数，在 x 轴上显示年份。 我已经为每年创建了它自己的变量（ a <- count(globalterrorism, iyear == 2000) , ..., r <- count(globalterrorism, iyear == 2017) ）。 gf_point(country~iyear, data = globalterrorismdb_0718dist) <- 那是我第一次尝试.. 我用library(mosaic)做到了

Answer 1

试试这个：

library(dplyr) 
globalterrorismdb_0718dist %>% 
  count(iyear) %>% 
  ggplot(.,aes(x = iyear, y = n))+geom_point()+
  geom_smooth(method = "loess")+
  labs(x = "Year", y = "Number of attacks")

更新：

  globalterrorismdb_0718dist %>% 
   count(iyear) %>% 
   lm(data = . , iyear~n) %>% summary()

Call:
lm(formula = iyear ~ n, data = .)

Residuals:
    Min      1Q  Median      3Q     Max 
-15.637  -9.578  -4.462  11.605  17.101 

Coefficients:
             Estimate Std. Error t value Pr(>|t|)    
(Intercept) 1.984e+03  2.227e+00 890.832  < 2e-16 ***
n           2.449e-03  4.111e-04   5.958 3.61e-07 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 10.7 on 45 degrees of freedom
Multiple R-squared:  0.4409,    Adjusted R-squared:  0.4285 
F-statistic: 35.49 on 1 and 45 DF,  p-value: 3.61e-07