gtsummary回归表的生成标头

Question

我正在使用gtsummary程序包将回归结果制成表格。

遇到困难，我试图使用以下函数modify_spanning_header(starts_with("stat_") ~ "**Logistic regression for years in US states**")为我的表提供一个扩展标头。

当我将此函数与下面的代码一起使用时，得到以下响应：

Error: Can't join on `x$column` x `y$column` because of incompatible types.
ℹ `x$column` is of type <character>>.
ℹ `y$column` is of type <integer>>.

有什么想法吗？包含伪数据和数据包的完整代码如下：

 # load packages
library(gtsummary)


# dummy data 
crime <-data.frame(State = sample(c("SF", "AR", "NYC","MN"),13000,replace = TRUE),
                   Year = sample(as.factor(c(1990, 2000)),13000, replace = TRUE)
                   )

# logistic model with visual  
glm(Year ~ State, data = crime, family = binomial) %>%
  tbl_regression(exponentiate = TRUE)

我正在尝试在此插图中重复并复制示例二-参见here。

Answer 1

您遇到的此问题是您选择了所有以"stat_"开头的列。但是在tbl_regression()表中，没有以"stat_"开头的列。使用辅助函数show_header_names()可以打印当前列名及其标题。这将有助于指导您选择适当的列。下面的示例。

# load packages
library(gtsummary)


# dummy data 
crime <-data.frame(State = sample(c("SF", "AR", "NYC","MN"),13000,replace = TRUE),
                   Year = sample(as.factor(c(1990, 2000)),13000, replace = TRUE)
)

# logistic model with visual  
tbl <- 
  glm(Year ~ State, data = crime, family = binomial) %>%
  tbl_regression(exponentiate = TRUE)

show_header_names(tbl)
#> 
#> 
#> Column Name   Column Header      
#> ------------  -------------------
#> label         **Characteristic** 
#> estimate      **OR**             
#> ci            **95% CI**         
#> p.value       **p-value**
#> i As a usage guide, the code below re-creates the current column headers.
#>   modify_header(update = list(
#>     label ~ "**Characteristic**",
#>     estimate ~ "**OR**",
#>     ci ~ "**95% CI**",
#>     p.value ~ "**p-value**"
#>   ))
# adding header here
tbl %>%
  modify_spanning_header(
    c(estimate, ci, p.value) ~ 
      "**Logistic regression for years in US states**")

^{由reprex package（v0.3.0）于2020-10-21创建}