r - 如何使用 expss 创建两个标题表
问题描述
我一直在阅读有关 expss 包的两个标题表here和here,但在线代码对我不起作用。我的想法是创建一个与此图像非常相似的表:
数据框是:
df <- data.frame(Categoria = c("gender", "gender" , "gender", "gender", "gender", "gender",
"religion", "religion", "religion", "religion", "religion",
"religion", "religion", "religion", "religion", "religion",
"religion", "religion"),
Opcoes_da_categoria = c("Mulher", "Homem", "Mulher", "Homem", "Mulher",
"Homem", "Outra religião", "Católico", "Agnóstico ou ateu",
"Evangélico", "Outra religião", "Católico",
"Agnóstico ou ateu", "Evangélico", "Outra religião",
"Católico", "Agnóstico ou ateu", "Evangélico"),
Resposta = c("A Favor", "A Favor", "Contra", "Contra", "Não sei", "Não sei",
"A Favor", "A Favor", "A Favor", "A Favor", "Contra", "Contra",
"Contra", "Contra", "Não sei", "Não sei", "Não sei", "Não sei"),
value_perc = c(65, 50, 33, 43, 2, 7, 67, 64, 56, 28, 31, 34, 35, 66, 2, 2, 10, 5))
我创建两个标题表的代码如下,但由于以下问题,它无法正常工作:
- 该表应该有两个标题
- 列名不应出现在表格中
- 该值不应该有十进制大小写
library(expss)
my_table <- df %>%
tab_cells(Resposta) %>%
tab_weight(value_perc) %>%
tab_cols(Opcoes_da_categoria, Categoria) %>%
tab_stat_cpct(total_label = NULL) %>%
tab_pivot()
library(gridExtra)
png("my_table.png", height = 50*nrow(my_table), width = 200*ncol(my_table))
grid.table(my_table)
dev.off()
解决方案
我不知道expss
,但最近使用了 flextable,发现它很好。远离这方面的专家,我设法制作了一张漂亮的桌子,它接近你想要的。从您的 DF 开始,必须进行一些更改,以使 DF 具有您的表格所需的格式。通过提取名称的部分 before 重命名 col-names _
。构建了描述 col 和 header-names 依赖关系的DF类型。(可以在上面的链接中找到)。然后是flextable部分,它首先构建flextable
然后应用typology
和其他格式化命令。
由此产生的结果,显示了所附图片。
library(tidyverse)
library(flextable)
#>
#> Attache Paket: 'flextable'
#> The following object is masked from 'package:purrr':
#>
#> compose
df <- data.frame(
Categoria = c(
"gender", "gender", "gender", "gender", "gender", "gender",
"religion", "religion", "religion", "religion", "religion",
"religion", "religion", "religion", "religion", "religion",
"religion", "religion"
),
Opcoes_da_categoria = c(
"Mulher", "Homem", "Mulher", "Homem", "Mulher",
"Homem", "Outra religião", "Católico", "Agnóstico ou ateu",
"Evangélico", "Outra religião", "Católico",
"Agnóstico ou ateu", "Evangélico", "Outra religião",
"Católico", "Agnóstico ou ateu", "Evangélico"
),
Resposta = c(
"A Favor", "A Favor", "Contra", "Contra", "Não sei", "Não sei",
"A Favor", "A Favor", "A Favor", "A Favor", "Contra", "Contra",
"Contra", "Contra", "Não sei", "Não sei", "Não sei", "Não sei"
),
value_perc = c(65, 50, 33, 43, 2, 7, 67, 64, 56, 28, 31, 34, 35, 66, 2, 2, 10, 5)
)
# adjust your df to match cols and names with tidyvers
dfa <- df %>%
pivot_wider(names_from =c('Opcoes_da_categoria', 'Categoria'), values_from = 'value_perc')
nam <- str_extract(colnames(dfa),'^[^_]+')
colnames(dfa) <- nam
typology <- data.frame(
col_keys = c( "Resposta",
"Mulher", "Homem",
"Outra religião", "Católico",
"Agnóstico ou ateu", "Evangélico"),
what = c("", "Genero", "Genero", "Religio",
"Religio", "Religio", 'Religio'),
measure = c( "Resposta",
"Mulher", "Homem",
"Outra religião", "Católico",
"Agnóstico ou ateu", "Evangélico"),
stringsAsFactors = FALSE )
library(officer) # needed for making border
dftab <- flextable::flextable(dfa)
border_v = fp_border(color="gray")
dftab <- dftab %>%
set_header_df(mapping = typology, key = "col_keys" ) %>%
merge_h(part = "header") %>%
merge_v(part = "header") %>%
theme_booktabs() %>%
vline(border = border_v, j =3, part = 'body') %>%
vline(border = border_v, j =3, part = 'header')
print(dftab)
#> a flextable object.
#> col_keys: `Resposta`, `Mulher`, `Homem`, `Outra religião`, `Católico`, `Agnóstico ou ateu`, `Evangélico`
#> header has 2 row(s)
#> body has 3 row(s)
#> original dataset sample:
#> Resposta Mulher Homem Outra religião Católico Agnóstico ou ateu Evangélico
#> 1 A Favor 65 50 67 64 56 28
#> 2 Contra 33 43 31 34 35 66
#> 3 Não sei 2 7 2 2 10 5
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