3

我想修改部分单元格的格式,同时保留未修改的剩余文本以包含在 .docx 报告中:
例如,Brill ( Scophthalmus rhombus ) 在细分 22-32 (Baltic Sea)

我的数据是使用 HTML 标签设置的,我一直在尝试使用该display()函数对其进行修改。我的例子(有点明显)修改了整个单元格。我希望pattern可以修改参数{{moustaches}}以使嵌套格式成为可能,但我没有任何运气。

library(flextable)
library(officer)
library(dplyr)

data <- structure(list(Description = c("Brill (<em>Scophthalmus rhombus</em>) in subdivisions 22-32 (Baltic Sea)", 
                                       "Cod (<em>Gadus morhua</em>) in subdivisions 22-24, western Baltic stock (western Baltic Sea)", 
                                       "Cod (<em>Gadus morhua</em>) in subdivisions 25-32, eastern Baltic stock (eastern Baltic Sea)", 
                                       "Dab (<em>Limanda limanda</em>) in subdivisions 22-32 (Baltic Sea)", 
                                       "Flounder (<em>Platichthys flesus</em>) in subdivisions 22 and 23 (Belt Seas and the Sound)", 
                                       "Flounder (<em>Platichthys flesus</em>) in subdivisions 24 and 25 (west of Bornholm and southwestern central Baltic)"),
                       SpeciesScientificName = c("Scophthalmus rhombus", "Gadus morhua", "Gadus morhua", "Limanda limanda", "Platichthys flesus", "Platichthys flesus")),
                  .Names = c("Description", "SpeciesScientificName"), 
                  row.names = c(NA, 6L), class = "data.frame")

data %>% 
  mutate(Description = gsub("<em>.*?</em>", "%s", Description)) %>%
  flextable() %>% 
  display(col_key = "Description", pattern = "{{sp_italics}}",
          formatters = list(sp_italics ~ sprintf(Description, SpeciesScientificName)),
          fprops = list(sp_italics = fp_text(italic = TRUE)))
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2 回答 2

5

显示功能正在定义显示值。它不允许仅格式化单元格中文本的一部分,它定义了段落内容及其格式。我将从一个整洁的data.frame 开始。

data <- structure(list(id = c("Brill", "Cod", "Cod", "Dab", "Flounder", 
"Flounder"), SpeciesScientificName = c("Scophthalmus rhombus", 
"Gadus morhua", "Gadus morhua", "Limanda limanda", "Platichthys flesus", 
"Platichthys flesus"), subdivision = c("22-32", "22-24, western Baltic stock", 
"25-32, eastern Baltic stock", "22-32", "22 and 23", "24 and 25"
), location = c("Baltic Sea", "western Baltic Sea", "eastern Baltic Sea", 
"Baltic Sea", "Belt Seas and the Sound", "west of Bornholm and southwestern central Baltic"
)), class = "data.frame", .Names = c("id", "SpeciesScientificName",  "subdivision", "location"), 
row.names = c(NA, -6L))

> data
        id SpeciesScientificName                 subdivision
1    Brill  Scophthalmus rhombus                       22-32
2      Cod          Gadus morhua 22-24, western Baltic stock
3      Cod          Gadus morhua 25-32, eastern Baltic stock
4      Dab       Limanda limanda                       22-32
5 Flounder    Platichthys flesus                   22 and 23
6 Flounder    Platichthys flesus                   24 and 25
                                          location
1                                       Baltic Sea
2                               western Baltic Sea
3                               eastern Baltic Sea
4                                       Baltic Sea
5                          Belt Seas and the Sound
6 west of Bornholm and southwestern central Baltic

您的示例是在一段中连接 4 个信息,该参数formatters将需要 4 个参数...

ft <- data %>% 
  flextable(col_keys = c("dummy_col", "SpeciesScientificName")) %>% 
  display(col_key = "dummy_col", pattern = "{{id_}} ({{sciname_}}) in {{subdivision_}} ({{location_}})",
          formatters = list(id_ ~ id, sciname_ ~ SpeciesScientificName, subdivision_ ~ subdivision, location_ ~ location ),
          fprops = list(sciname_ = fp_text(italic = TRUE), location_ = fp_text(color="red") )) %>% 
  set_header_labels(dummy_col="whatever") %>% 
  theme_booktabs() %>% autofit()

read_docx() %>% body_add_flextable(ft) %>% print("test.docx")

在此处输入图像描述

于 2017-06-27T15:24:43.133 回答
2

可能有更简单的解决方案。使用ftExtraandcolformat_md()会让你做降价格式(虽然它似乎不允许纯 HTML)

https://ardata-fr.github.io/flextable-book/extensions.html#fttextra

library(ftExtra)
data.frame(x = c("**bold**", "*italic*"),
           y = c("^superscript^", "~subscript~"),
           z = c("***^ft^~Extra~** is*", "*Cool*")) %>% 
flextable() %>% 
colformat_md()
于 2021-05-11T04:49:49.833 回答