提取latex中回归模型的总结
Extract summary of regression model in latex
有没有一种方法可以像我在下面附上的相关性 table 那样以漂亮的乳胶格式提取回归模型的摘要?
# install.packages("dplyr")
# install.packages("kableExtra")
library(dplyr)
library(kableExtra)
mlm1 <- lm(mpg ~ . , data = mtcars)
summary(mlm1)
summary(mlm1) %>%
kbl(caption="Table 1: Summary Statistics of Financial Well-Being
Score by Gender and Education",
format= "html",
align="r") %>%
kable_classic(full_width = F, html_font = "helvetica")
我建议使用 gt
包,它正在成为常态,同时 gtsummary
有很多 options and customizations for regression tables。
library(dplyr)
library(gt)
library(gtsummary)
mlm1 <- lm(mpg ~ . , data = mtcars)
# summary(mlm1)
mlm1 %>%
gtsummary::tbl_regression() %>%
gtsummary::modify_caption("Table 1: Summary Statistics of Financial Well-Being
Score by Gender and Education")
# Use gt::as_latex() for Latex
由 reprex package (v2.0.1)
创建于 2022-01-24
有没有一种方法可以像我在下面附上的相关性 table 那样以漂亮的乳胶格式提取回归模型的摘要?
# install.packages("dplyr")
# install.packages("kableExtra")
library(dplyr)
library(kableExtra)
mlm1 <- lm(mpg ~ . , data = mtcars)
summary(mlm1)
summary(mlm1) %>%
kbl(caption="Table 1: Summary Statistics of Financial Well-Being
Score by Gender and Education",
format= "html",
align="r") %>%
kable_classic(full_width = F, html_font = "helvetica")
我建议使用 gt
包,它正在成为常态,同时 gtsummary
有很多 options and customizations for regression tables。
library(dplyr)
library(gt)
library(gtsummary)
mlm1 <- lm(mpg ~ . , data = mtcars)
# summary(mlm1)
mlm1 %>%
gtsummary::tbl_regression() %>%
gtsummary::modify_caption("Table 1: Summary Statistics of Financial Well-Being
Score by Gender and Education")
# Use gt::as_latex() for Latex
由 reprex package (v2.0.1)
创建于 2022-01-24