是否有一种方法可以在tidyverse
/ dplyr
的管道(%>%
)之间运行独立的操作而不会弄乱主进程?让我分享一个虚构的无效示例,以使用pass
函数在管道之间运行操作来更好地解释自己。
temp <- 1 # Object that will change while using `pass` between pipes
some_df %>%
mutate(x = "dummy1") %>%
pass(temp <- temp + 1) %>% # Here we convert `temp` to 2
mutate(y = "dummy2") %>%
pass(temp <- temp + 1) # Here we convert `temp` to 3
这对于使用officer
构建幻灯片时在PPT上动态添加幻灯片编号非常有用。如果我在中间的某个位置添加了新幻灯片,则必须手动更改所有后幻灯片。我敢肯定一定有办法!谢谢:)
答案 0 :(得分:1)
这是您想要的吗?
library(dplyr)
library(magrittr)
temp <- 1
out <-
mtcars %>%
mutate(x = "dummy1") %T>%
{temp <<- temp + 1} %>% # Need to use `<<-`
mutate(y = "dummy2") %T>%
{temp <<- temp + 1}
out
temp
输出
> out
mpg cyl disp hp drat wt qsec vs am gear carb x y
1 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 dummy1 dummy2
2 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 dummy1 dummy2
3 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 dummy1 dummy2
4 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 dummy1 dummy2
5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 dummy1 dummy2
6 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 dummy1 dummy2
7 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 dummy1 dummy2
8 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 dummy1 dummy2
9 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 dummy1 dummy2
10 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 dummy1 dummy2
11 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 dummy1 dummy2
12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 dummy1 dummy2
13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 dummy1 dummy2
14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 dummy1 dummy2
15 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 dummy1 dummy2
16 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 dummy1 dummy2
17 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 dummy1 dummy2
18 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 dummy1 dummy2
19 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 dummy1 dummy2
20 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 dummy1 dummy2
21 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 dummy1 dummy2
22 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 dummy1 dummy2
23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 dummy1 dummy2
24 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 dummy1 dummy2
25 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 dummy1 dummy2
26 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 dummy1 dummy2
27 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 dummy1 dummy2
28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 dummy1 dummy2
29 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 dummy1 dummy2
30 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 dummy1 dummy2
31 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 dummy1 dummy2
32 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 dummy1 dummy2
> temp
[1] 3