在R中的DT :: datatable中包括表容器

分类：编程问答

如何解决在R中的DT :: datatable中包括表容器

我是HTML和交互式表的新手，并且在构建表容器以添加数据集标题时遇到了麻烦。有没有一种简单的方法可以为我的数据集插入表头？我希望第2-5列（不包括第1列中的日期）和第6-9列分别具有标题“部门”和“行业”。

我在下面提供了数据集的一部分。

谢谢！

library(tidyverse)
library(DT)

df <- structure(list(date = c("1975 Q1","1975 Q2","1975 Q3","1975 Q4","1976 Q1","1976 Q2"),Sector = c("Accommodation Food Services","Accommodation Food Services","Accommodation Food Services"),industry = structure(c(3L,3L,3L),.Label = c("Goods","Ownership","Services"),class = "factor"),Sector_GDP = c(112.4,110.7,116.6,123.4,125.1,120.7),sector_GDP_change = c(0,-0.0151,0.0533,0.0583,0.0138,-0.0352),goods_producing_industries = c(1014.2,1090.9,1205.7,1269.6,1166.6,1247.6),services_producing_industries = c(1991.7,2019.6,2105.2,2206.6,2154.2,2156.5),total_GDP = c(3087.1,3194,3396.9,3562.9,3409.4,3493.4),industry_GDP_change = c(0,0.0346,0.0635,0.0489,-0.0431,0.0246)),row.names = c(NA,-6L),groups = structure(list(industry = structure(3L,.rows = structure(list(
    1:6),ptype = integer(0),class = c("vctrs_list_of","vctrs_vctr","list"))),row.names = 1L,class = c("tbl_df","tbl","data.frame"
),.drop = TRUE),class = c("grouped_df","tbl_df","data.frame"
))

DT::datatable(df)

由reprex package（v0.3.0）于2020-09-04创建

devtools::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value                       
#>  version  R version 4.0.2 (2020-06-22)
#>  os       macOS Catalina 10.15.5      
#>  system   x86_64,darwin17.0          
#>  ui       X11                         
#>  language (EN)                        
#>  collate  en_AU.UTF-8                 
#>  ctype    en_AU.UTF-8                 
#>  tz       Australia/Melbourne         
#>  date     2020-09-04                  
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date       lib source        
#>  assertthat    0.2.1   2019-03-21 [1] CRAN (R 4.0.2)
#>  backports     1.1.9   2020-08-24 [1] CRAN (R 4.0.2)
#>  blob          1.2.1   2020-01-20 [1] CRAN (R 4.0.2)
#>  broom         0.7.0   2020-07-09 [1] CRAN (R 4.0.2)
#>  callr         3.4.3   2020-03-28 [1] CRAN (R 4.0.2)
#>  cellranger    1.1.0   2016-07-27 [1] CRAN (R 4.0.2)
#>  cli           2.0.2   2020-02-28 [1] CRAN (R 4.0.2)
#>  colorspace    1.4-1   2019-03-18 [1] CRAN (R 4.0.2)
#>  crayon        1.3.4   2017-09-16 [1] CRAN (R 4.0.2)
#>  crosstalk     1.1.0.1 2020-03-13 [1] CRAN (R 4.0.2)
#>  curl          4.3     2019-12-02 [1] CRAN (R 4.0.1)
#>  DBI           1.1.0   2019-12-15 [1] CRAN (R 4.0.2)
#>  dbplyr        1.4.4   2020-05-27 [1] CRAN (R 4.0.2)
#>  desc          1.2.0   2018-05-01 [1] CRAN (R 4.0.2)
#>  devtools      2.3.1   2020-07-21 [1] CRAN (R 4.0.2)
#>  digest        0.6.25  2020-02-23 [1] CRAN (R 4.0.2)
#>  dplyr       * 1.0.2   2020-08-18 [1] CRAN (R 4.0.2)
#>  DT          * 0.15    2020-08-05 [1] CRAN (R 4.0.2)
#>  ellipsis      0.3.1   2020-05-15 [1] CRAN (R 4.0.2)
#>  evaluate      0.14    2019-05-28 [1] CRAN (R 4.0.1)
#>  fansi         0.4.1   2020-01-08 [1] CRAN (R 4.0.2)
#>  forcats     * 0.5.0   2020-03-01 [1] CRAN (R 4.0.2)
#>  fs            1.5.0   2020-07-31 [1] CRAN (R 4.0.2)
#>  generics      0.0.2   2018-11-29 [1] CRAN (R 4.0.2)
#>  ggplot2     * 3.3.2   2020-06-19 [1] CRAN (R 4.0.2)
#>  glue          1.4.2   2020-08-27 [1] CRAN (R 4.0.2)
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#>  htmltools     0.5.0   2020-06-16 [1] CRAN (R 4.0.2)
#>  htmlwidgets   1.5.1   2019-10-08 [1] CRAN (R 4.0.2)
#>  httr          1.4.2   2020-07-20 [1] CRAN (R 4.0.2)
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#>  lubridate     1.7.9   2020-06-08 [1] CRAN (R 4.0.2)
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#>  pkgconfig     2.0.3   2019-09-22 [1] CRAN (R 4.0.2)
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#>  prettyunits   1.1.1   2020-01-24 [1] CRAN (R 4.0.2)
#>  processx      3.4.3   2020-07-05 [1] CRAN (R 4.0.2)
#>  ps            1.3.4   2020-08-11 [1] CRAN (R 4.0.2)
#>  purrr       * 0.3.4   2020-04-17 [1] CRAN (R 4.0.2)
#>  R6            2.4.1   2019-11-12 [1] CRAN (R 4.0.2)
#>  Rcpp          1.0.5   2020-07-06 [1] CRAN (R 4.0.2)
#>  readr       * 1.3.1   2018-12-21 [1] CRAN (R 4.0.2)
#>  readxl        1.3.1   2019-03-13 [1] CRAN (R 4.0.2)
#>  remotes       2.2.0   2020-07-21 [1] CRAN (R 4.0.2)
#>  reprex        0.3.0   2019-05-16 [1] CRAN (R 4.0.2)
#>  rlang         0.4.7   2020-07-09 [1] CRAN (R 4.0.2)
#>  rmarkdown     2.3     2020-06-18 [1] CRAN (R 4.0.2)
#>  rprojroot     1.3-2   2018-01-03 [1] CRAN (R 4.0.2)
#>  rvest         0.3.6   2020-07-25 [1] CRAN (R 4.0.2)
#>  scales        1.1.1   2020-05-11 [1] CRAN (R 4.0.2)
#>  sessioninfo   1.1.1   2018-11-05 [1] CRAN (R 4.0.2)
#>  stringi       1.4.6   2020-02-17 [1] CRAN (R 4.0.2)
#>  stringr     * 1.4.0   2019-02-10 [1] CRAN (R 4.0.2)
#>  testthat      2.3.2   2020-03-02 [1] CRAN (R 4.0.2)
#>  tibble      * 3.0.3   2020-07-10 [1] CRAN (R 4.0.2)
#>  tidyr       * 1.1.2   2020-08-27 [1] CRAN (R 4.0.2)
#>  tidyselect    1.1.0   2020-05-11 [1] CRAN (R 4.0.2)
#>  tidyverse   * 1.3.0   2019-11-21 [1] CRAN (R 4.0.2)
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#>  vctrs         0.3.4   2020-08-29 [1] CRAN (R 4.0.2)
#>  webshot       0.5.2   2019-11-22 [1] CRAN (R 4.0.2)
#>  withr         2.2.0   2020-04-20 [1] CRAN (R 4.0.2)
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#> 
#> [1] /Library/Frameworks/R.framework/Versions/4.0/Resources/library

解决方法

这会产生您想要的东西吗？

# a custom table container
sketch = htmltools::withTags(table(
   class = 'display',thead(
      tr(
         th(rowspan = 2,'date'),th(colspan = 4,'Sector'),'Industry')
      ),tr(
         lapply(names(df)[-1],th)
      )
   )
))
print(sketch)

DT::datatable(df,container = sketch,rownames = FALSE)

enter image description here

改编自第2.6节 https://rstudio.github.io/DT/

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