如何将以下模型构造放入R markdown的kable中。
>modelTT <- glm(formula
,family=gaussian(link = "identity"), data=dataL_TT)
>regr_tab_NM(modelTT)
Estimate Pr(>|t|)
(Intercept) -2.6077 < 0.001
Days_diff_Eff_Subm_2 -0.0114 < 0.001
TR_BS_BROKER_ID_360_2 0.0344 < 0.001
TR_BS_BROKER_ID_360_M 0.8551 < 0.001
RURALPOP_P_CWR_2 -0.0083 < 0.001
RURALPOP_P_CWR_M -0.7106 < 0.001
TR_B_BROKER_ID_360 0.0241 < 0.001
TR_SCW_BROKER_ID_360 -0.0005 < 0.001
PIP_Flag 3.5838 < 0.001
TR_BS_BROKER_INDIVIDUAL_720_2 0.0357 < 0.001
TR_BS_BROKER_INDIVIDUAL_720_M -0.0780 < 0.001
Resolved_Conflictless5m 1.1547 < 0.001
Resolved_Conflict5mTo1d 1.5352 < 0.001
Resolved_Conflictafter1d 2.1279 < 0.001
Priority_2Other -1.1499 < 0.001
所以首先我开始 library(knitr)then kable(modelTT,.....)我不确定这是否正确。
答案 0 :(得分:0)
通过保存要打印的对象,然后使用内联R函数(相对于块)来呈现表,可以使用kable()
在R Markdown中直接从R函数打印表格内容。
要从模型中打印回归系数,需要确定包含该系数的特定对象并进行打印,而不是整个summary()
对象。我们将使用lm()
来说明一个简单的示例。
summary(lm(...))
的输出对象是11个对象的列表,其中一个称为coefficients
。 coefficients
对象包含回归斜率,标准误差,t和概率值。
以下代码可以另存为Rmd文件,并用knitr
编织以将这些项目打印为kable()
表。
---
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
Stackoverflow question [48804938](https://stackoverflow.com/questions/48804938/creating-kable-in-r-markdown) asked how to take output from a linear model and render it with kable in R Markdown. We'll run a `lm()` with the `mtcars` data frame and print the coefficients table with kable.
```{r regression, echo = TRUE, warning = FALSE, eval = TRUE}
library(knitr)
fit <- lm(mpg ~ am + disp + wt, data = mtcars)
theStats <- summary(fit)
```
At this point we can print the coefficients table with `theStats$coefficients` as the argument to the `kable()` function.
`r kable(theStats$coefficients)`
当我们将文档编织为HTML时,它将生成以下文档。