我的朋友
> df <- data.frame(food = c("fruit banana", "fruit apple", "fruit grape", "bread", "meat"), sold = rnorm(5, 100))
> df
food sold
1 fruit banana 99.47171
2 fruit apple 99.40878
3 fruit grape 99.28727
4 bread 99.15934
5 meat 100.53438
Run Code Online (Sandbox Code Playgroud)
现在我想要替换以"水果"开头的食物中的所有值,然后按食物分组并总结出售的总和.
> df %>%
+ mutate(food = replace(food, str_detect(food, "fruit"), "fruit")) %>%
+ group_by(food) %>%
+ summarise(sold = sum(sold))
Source: local data frame [3 x 2]
food sold
(fctr) (dbl)
1 bread 99.15934
2 meat 100.53438
3 NA 298.16776
Run Code Online (Sandbox Code Playgroud)
为什么这个命令不起作用?它给了我NA而不是水果?
这对我有用,我认为你的数据是因素:
stringsAsFactors=FALSE在制作如下数据时使用,或者您可以options(stringsAsFactors=FALSE)在R环境中运行以避免相同:
df <- data.frame(food = c("fruit banana", "fruit apple", "fruit grape", "bread", "meat"), sold = rnorm(5, 100),stringsAsFactors = FALSE)
df %>%
mutate(food = replace(food, str_detect(food, "fruit"), "fruit")) %>%
group_by(food) %>%
summarise(sold = sum(sold))
Run Code Online (Sandbox Code Playgroud)
输出:
# A tibble: 3 × 2
food sold
<chr> <dbl>
1 bread 99.67661
2 fruit 300.28520
3 meat 99.88566
Run Code Online (Sandbox Code Playgroud)
| 归档时间: |
|
| 查看次数: |
7836 次 |
| 最近记录: |