相关疑难解决方法(0)

tidyr::complete()将行添加到a data.frame中,以获取数据中缺少的列值组合.例:

library(dplyr)
library(tidyr)

df <- data.frame(person = c(1,2,2),
                 observation_id = c(1,1,2),
                 value = c(1,1,1))
df %>%
  tidyr::complete(person,
                  observation_id,
                  fill = list(value=0))

产量

# A tibble: 4 × 3
  person observation_id value
   <dbl>          <dbl> <dbl>
1      1              1     1
2      1              2     0
3      2              1     1
4      2              2     1

其中value组合person == 1和observation_id == 2缺少的组合df已填入值0.

什么相当于这个data.table？

我有以下数据

library(tidyr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(data.table)
#> 
#> Attaching package: 'data.table'
#> The following objects are masked from 'package:dplyr':
#> 
#>     between, first, last

df <- structure(list(filename = c("PS92_019-6_rovT_irrad.tab", "PS92_019-6_rovT_irrad.tab", 
  "PS92_019-6_rovT_irrad.tab", "PS92_019-6_rovT_irrad.tab"), depth = c(5, 
  10, 20, 75), ps = c(3.26223404971255, 3.38947945477306, 3.97380593851983, 
  0.428074807655144)), row.names = c(NA, -4L), class = c("tbl_df", …