pander生成的报告中的小数位数

pander生成的报告中的小数位数

本文介绍了如何设置用knitr/pander生成的报告中的小数位数?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我知道这是一个相当老的问题,之前已经讨论过,但是我无法按预期工作.

I know it's a fairly old problem, and it has been discussed before, but I can't get it work as expected.

我有一个markdown文档,我想使用knitrpander来生成一个.docx报告,该报告具有一致的数字格式,带有两个小数,例如 内联和块输出.我已阅读此线程如何避免在每个\ Sexpr {}中使用round()?建议在其中可以自动执行.但是,它似乎对我不起作用.请让我知道我在这里想念的东西.

I have a markdown document, and I would like to use knitr and pander to produce a .docx report with a consistent numeric format with two decimals, such as 0.12, 3.60, 14.00, or 163.21 for both inline and chunk outputs. I have read this thread How to avoid using round() in every \Sexpr{}? where it was suggested that pander can do that automatically. However, it does not seem to work for me. Please let me know what I'm missing here.

脚本:

```{r, echo=FALSE}
library(knitr)
opts_chunk$set(echo = FALSE, message = FALSE, results = 'asis')
```

```{r}
require(pander)
panderOptions('digits' , 2) #this should do the trick, right?
```

Test
=====

Let's produce some test stats:


```{r}
model1 = lm(weight~feed, chickwts)
anova.m1 = anova(model1)
pander(anova.m1)
pander(coef(summary(model1)))
```

In-line R codes: "Type of food affects body mass of the chicks
(F~`r anova.m1$Df[1]`,`r anova.m1$Df[2]`~ = `r anova.m1$F[1]`, p =  `r anova.m1$Pr[1]`)."


```{r}
FILE <- "Test"
system(paste0("pandoc -o ", FILE, ".docx ", FILE, ".md"))
```

但是结果不是我期望的(请注意,小数的范围几乎是0到7之间的所有数字):

But the results are not what I would expect (note that the range of decimals is almost everything between 0 and 7):

推荐答案

有关:

> library(pander)
> panderOptions('digits', 2)
> panderOptions('round', 2)
> panderOptions('keep.trailing.zeros', TRUE)
> pander(anova.m1)

----------------------------------------------------------
    &nbsp;       Df   Sum Sq   Mean Sq   F value   Pr(>F)
--------------- ---- -------- --------- --------- --------
   **feed**      5    231129    46226      15        0

 **Residuals**   65   195556    3009
----------------------------------------------------------

Table: Analysis of Variance Table

> pander(coef(summary(model1)))

----------------------------------------------------------------
      &nbsp;         Estimate   Std. Error   t value   Pr(>|t|)
------------------- ---------- ------------ --------- ----------
  **(Intercept)**     323.58      15.83       20.44      0.00

 **feedhorsebean**   -163.38      23.49       -6.96      0.00

  **feedlinseed**    -104.83      22.39       -4.68      0.00

 **feedmeatmeal**     -46.67      22.90       -2.04      0.05

  **feedsoybean**     -77.15      21.58       -3.58      0.00

 **feedsunflower**     5.33       22.39       0.24       0.81
----------------------------------------------------------------

关于内联R块:也可以在其中调用pander或应用一些钩子来自动执行此操作.

About inline R chunks: also call pander there or apply some hooks to do that automatically.

更新:设置小数位数后,无需像现在一样在这里设置位数

Update: there's no need to set the number of digits here as you are after setting the number of decimals, sry:

> library(pander)
> panderOptions('round', 2)
> panderOptions('keep.trailing.zeros', TRUE)
> model1 = lm(weight~feed, chickwts)
> anova.m1 = anova(model1)
> pander(anova.m1)

----------------------------------------------------------
    &nbsp;       Df   Sum Sq   Mean Sq   F value   Pr(>F)
--------------- ---- -------- --------- --------- --------
   **feed**      5    231129    46226     15.36      0

 **Residuals**   65   195556    3009
----------------------------------------------------------

Table: Analysis of Variance Table

> pander(coef(summary(model1)))

----------------------------------------------------------------
      &nbsp;         Estimate   Std. Error   t value   Pr(>|t|)
------------------- ---------- ------------ --------- ----------
  **(Intercept)**     323.58      15.83       20.44      0.00

 **feedhorsebean**   -163.38      23.49       -6.96      0.00

  **feedlinseed**    -104.83      22.39       -4.68      0.00

 **feedmeatmeal**     -46.67      22.90       -2.04      0.05

  **feedsoybean**     -77.15      21.58       -3.58      0.00

 **feedsunflower**     5.33       22.39       0.24       0.81
----------------------------------------------------------------


进一步的更新:,以及为什么它与第二个表中的集合digits一起用于第一次运行:


Further update: and why it worked with set digits in the second table for the first run:

> format(c(0.01, 15.36 ), digits = 2)
[1] " 0.01" "15.36"
> format(15.36, digits = 2)
[1] "15"

pandoc.table并且pandoc.table基于列运行format,这样一列中的数字将根据用户请求具有相同的小数位数(即使该选项设置为TRUE的尾随零).

And pandoc.table runs format on a column-basis so that the numbers in a column would have the same number of decimals (even trailing zeros with that option set to TRUE) based on a user-request.

如果这看起来像个bug,请在GitHub上打开一个问题: https://github.com/Rapporter/轻声

Please open an issue at GitHub if this would look like a bug: https://github.com/Rapporter/pander

这篇关于如何设置用knitr/pander生成的报告中的小数位数?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

08-31 07:11