flextable 中有条件的粗体值
conditionally bold values in flextable
是否可以bold/color根据 tstat 估计值。
对于 ex - 如果 tstat 大于 1.96 则粗体估计值
这是 的延续,我必须使用 flextable。
library(dplyr)
library(flextable)
attribute <- c("b0", "b1", "b2", "b3", "b4", "b5")
estimate <- round(runif(n = 6, min = 0, max = 5), 2)
tstat <- round(runif(n = 6, min = 0, max = 5), 2)
# tibble
tbl <- tibble(attribute, estimate, tstat) %>%
as_flextable()
我们可以使用 ifelse
或 case_when
为 bold
ing
添加 **<value>**
library(dplyr)
library(flextable)
tbl <- tibble( attribute, estimate, tstat) %>%
mutate(estimate = case_when(tstat > 1.96
~sprintf('**%0.2f**', estimate),
TRUE ~sprintf('%0.2f', estimate))) %>%
as_flextable() %>%
colformat_md()
tbl
-输出
另一个解决方案:
library(dplyr)
library(flextable)
set.seed(4123)
attribute <- c("b0", "b1", "b2", "b3", "b4", "b5")
estimate <- round(runif(n = 6, min = 0, max = 5), 2)
tstat <- round(runif(n = 6, min = 0, max = 5), 2)
tbl <- tibble(attribute, estimate, tstat)
tbl %>%
flextable() %>%
bold(tbl$tstat > 1.96,2)
另一种使用 flextable 行选择器的解决方案:
library(dplyr)
library(flextable)
set.seed(4123)
attribute <- c("b0", "b1", "b2", "b3", "b4", "b5")
estimate <- round(runif(n = 6, min = 0, max = 5), 2)
tstat <- round(runif(n = 6, min = 0, max = 5), 2)
tbl <- tibble(attribute, estimate, tstat)
tbl %>%
flextable() %>%
bold(~ tstat > 1.96,2)
是否可以bold/color根据 tstat 估计值。
对于 ex - 如果 tstat 大于 1.96 则粗体估计值
这是
library(dplyr)
library(flextable)
attribute <- c("b0", "b1", "b2", "b3", "b4", "b5")
estimate <- round(runif(n = 6, min = 0, max = 5), 2)
tstat <- round(runif(n = 6, min = 0, max = 5), 2)
# tibble
tbl <- tibble(attribute, estimate, tstat) %>%
as_flextable()
我们可以使用 ifelse
或 case_when
为 bold
ing
**<value>**
library(dplyr)
library(flextable)
tbl <- tibble( attribute, estimate, tstat) %>%
mutate(estimate = case_when(tstat > 1.96
~sprintf('**%0.2f**', estimate),
TRUE ~sprintf('%0.2f', estimate))) %>%
as_flextable() %>%
colformat_md()
tbl
-输出
另一个解决方案:
library(dplyr)
library(flextable)
set.seed(4123)
attribute <- c("b0", "b1", "b2", "b3", "b4", "b5")
estimate <- round(runif(n = 6, min = 0, max = 5), 2)
tstat <- round(runif(n = 6, min = 0, max = 5), 2)
tbl <- tibble(attribute, estimate, tstat)
tbl %>%
flextable() %>%
bold(tbl$tstat > 1.96,2)
另一种使用 flextable 行选择器的解决方案:
library(dplyr)
library(flextable)
set.seed(4123)
attribute <- c("b0", "b1", "b2", "b3", "b4", "b5")
estimate <- round(runif(n = 6, min = 0, max = 5), 2)
tstat <- round(runif(n = 6, min = 0, max = 5), 2)
tbl <- tibble(attribute, estimate, tstat)
tbl %>%
flextable() %>%
bold(~ tstat > 1.96,2)