gtsummary regression table 底部的观测数怎么放?
How to put the number of observations at the bottom of gtsummary regression table?
我想将回归模型集中包含的观测值数量放在 gtsummary
table 的底部,与系数估计值在同一列中。将观察数放在列中很简单:
library(dplyr)
library(gtsummary)
df <- mtcars %>%
mutate(cyl_miss = if_else(
cyl == 6,
NA_real_,
cyl
))
model_1 <- lm(
data = df,
formula = mpg ~ cyl + disp
)
model_2 <- lm(
data = df,
formula = mpg ~ cyl_miss + disp
)
table_1 <- tbl_regression(model_1) %>%
add_significance_stars(
pattern = "{estimate}{stars}",
thresholds = c(0.001, 0.01, 0.05),
hide_ci = TRUE,
hide_p = TRUE,
hide_se = FALSE
) %>%
add_n()
table_2 <- tbl_regression(model_2) %>%
add_significance_stars(
pattern = "{estimate}{stars}",
thresholds = c(0.001, 0.01, 0.05),
hide_ci = TRUE,
hide_p = TRUE,
hide_se = FALSE
) %>%
add_n()
tbl_merge(
list(table_1, table_2)
)
如何将数字(此处为 32 和 25)放入 Beta 列中标记为“N”的行中?
要将 N 添加到 table 的新行,您需要使用 add_glance_table()
函数。示例如下!
library(gtsummary)
packageVersion("gtsummary")
#> [1] '1.4.2'
df <-
mtcars %>%
dplyr::mutate(
cyl_miss = ifelse(cyl == 6, NA_real_, cyl)
)
model_1 <- lm(data = df, formula = mpg ~ cyl + disp)
model_2 <- lm(data = df, formula = mpg ~ cyl_miss + disp)
table_1 <-
tbl_regression(model_1) %>%
add_significance_stars() %>%
add_glance_table(include = nobs)
table_2 <-
tbl_regression(model_2) %>%
add_significance_stars() %>%
add_glance_table(include = nobs)
table_final <-
tbl_merge(list(table_1, table_2)) %>%
# ensure the glance statistics are at the bottom of table
modify_table_body(~.x %>% dplyr::arrange(row_type == "glance_statistic"))
由 reprex package (v2.0.1)
于 2021-09-14 创建
我想将回归模型集中包含的观测值数量放在 gtsummary
table 的底部,与系数估计值在同一列中。将观察数放在列中很简单:
library(dplyr)
library(gtsummary)
df <- mtcars %>%
mutate(cyl_miss = if_else(
cyl == 6,
NA_real_,
cyl
))
model_1 <- lm(
data = df,
formula = mpg ~ cyl + disp
)
model_2 <- lm(
data = df,
formula = mpg ~ cyl_miss + disp
)
table_1 <- tbl_regression(model_1) %>%
add_significance_stars(
pattern = "{estimate}{stars}",
thresholds = c(0.001, 0.01, 0.05),
hide_ci = TRUE,
hide_p = TRUE,
hide_se = FALSE
) %>%
add_n()
table_2 <- tbl_regression(model_2) %>%
add_significance_stars(
pattern = "{estimate}{stars}",
thresholds = c(0.001, 0.01, 0.05),
hide_ci = TRUE,
hide_p = TRUE,
hide_se = FALSE
) %>%
add_n()
tbl_merge(
list(table_1, table_2)
)
如何将数字(此处为 32 和 25)放入 Beta 列中标记为“N”的行中?
要将 N 添加到 table 的新行,您需要使用 add_glance_table()
函数。示例如下!
library(gtsummary)
packageVersion("gtsummary")
#> [1] '1.4.2'
df <-
mtcars %>%
dplyr::mutate(
cyl_miss = ifelse(cyl == 6, NA_real_, cyl)
)
model_1 <- lm(data = df, formula = mpg ~ cyl + disp)
model_2 <- lm(data = df, formula = mpg ~ cyl_miss + disp)
table_1 <-
tbl_regression(model_1) %>%
add_significance_stars() %>%
add_glance_table(include = nobs)
table_2 <-
tbl_regression(model_2) %>%
add_significance_stars() %>%
add_glance_table(include = nobs)
table_final <-
tbl_merge(list(table_1, table_2)) %>%
# ensure the glance statistics are at the bottom of table
modify_table_body(~.x %>% dplyr::arrange(row_type == "glance_statistic"))