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我想在 rmarkdown 中创建几个 pdf 文件。
这是我的数据示例:
mydata <- data.frame(First = c("John", "Hui", "Jared","Jenner"), Second = c("Smith", "Chang", "Jzu","King"), Sport = c("Football","Ballet","Ballet","Football"), Age = c("12", "13", "12","13"), submission = c("Microbes may be the friends of future colonists living off the land on the moon, Mars or elsewhere in the solar system and aiming to establish self-sufficient homes.
Space colonists, like people on Earth, will need what are known as rare earth elements, which are critical to modern technologies. These 17 elements, with daunting names like yttrium, lanthanum, neodymium and gadolinium, are sparsely distributed in the Earth’s crust. Without the rare earths, we wouldn’t have certain lasers, metallic alloys and powerful magnets that are used in cellphones and electric cars.", "But mining them on Earth today is an arduous process. It requires crushing tons of ore and then extracting smidgens of these metals using chemicals that leave behind rivers of toxic waste water.
Experiments conducted aboard the International Space Station show that a potentially cleaner, more efficient method could work on other worlds: let bacteria do the messy work of separating rare earth elements from rock.", "“The idea is the biology is essentially catalyzing a reaction that would occur very slowly without the biology,” said Charles S. Cockell, a professor of astrobiology at the University of Edinburgh.
On Earth, such biomining techniques are already used to produce 10 to 20 percent of the world’s copper and also at some gold mines; scientists have identified microbes that help leach rare earth elements out of rocks.", "Blank"))
在社区的帮助下,我得到了一个很酷的 rmarkdown 解决方案,它可以创建一个包含我想要的所有数据的 html 文件。
```{r echo = FALSE}
# using data from above
# mydata <- mydata
# Define template (using column names from data.frame)
template <- "**First:** `r First`   **Second:** `r Second` <br>
**Age:** `r Age`
**Submission** <br>
`r Submission`"
# Now process the template for each row of the data.frame
src <- lapply(1:nrow(mydata), function(i) {
knitr::knit_child(text=template, envir=mydata[i, ], quiet=TRUE)
})
```
# Print result to document
`r knitr::knit_child(text=unlist(src))`
```
这将创建一个文件:
for (sport in unique(mydata$Sport)){
subgroup <- mydata[mydata$Sport == sport,]
render("Essay to Word.Rmd",output_file = paste0('report.',sport, '.html'))
}
最佳答案
这可以通过参数化报告来实现,如下所示:
lapply
传递您的 subgroup
数据集到 render
通过参数 params
***
添加水平线output_format="pdf_document"
.另外为了渲染你的文档,我不得不通过 output_options
切换 latex 引擎---
params:
data: null
sport: null
---
```{r echo = FALSE}
# using data from above
data <- params$data
# Define template (using column names from data.frame)
template <- "
***
**First:** `r First`   **Second:** `r Second` <br>
**Age:** `r Age`
**Submission** <br>
`r Submission`"
# Now process the template for each row of the data.frame
src <- lapply(1:nrow(data), function(i) {
knitr::knit_child(text=template, envir=data[i, ], quiet=TRUE)
})
```
# Print result to document. Sport: `r params$sport`
`r knitr::knit_child(text=unlist(src))`
R脚本:
mydata <- data.frame(First = c("John", "Hui", "Jared","Jenner"),
Second = c("Smith", "Chang", "Jzu","King"),
Sport = c("Football","Ballet","Ballet","Football"),
Age = c("12", "13", "12","13"),
Submission = c("Microbes may be the friends of future colonists living off the land on the moon, Mars or elsewhere in the solar system and aiming to establish self-sufficient homes.
Space colonists, like people on Earth, will need what are known as rare earth elements, which are critical to modern technologies. These 17 elements, with daunting names like yttrium, lanthanum, neodymium and gadolinium, are sparsely distributed in the Earth’s crust. Without the rare earths, we wouldn’t have certain lasers, metallic alloys and powerful magnets that are used in cellphones and electric cars.", "But mining them on Earth today is an arduous process. It requires crushing tons of ore and then extracting smidgens of these metals using chemicals that leave behind rivers of toxic waste water.
Experiments conducted aboard the International Space Station show that a potentially cleaner, more efficient method could work on other worlds: let bacteria do the messy work of separating rare earth elements from rock.", "“The idea is the biology is essentially catalyzing a reaction that would occur very slowly without the biology,” said Charles S. Cockell, a professor of astrobiology at the University of Edinburgh.
On Earth, such biomining techniques are already used to produce 10 to 20 percent of the world’s copper and also at some gold mines; scientists have identified microbes that help leach rare earth elements out of rocks.", "Blank"))
for (sport in unique(mydata$Sport)){
subgroup <- mydata[mydata$Sport == sport,]
rmarkdown::render("test.Rmd", output_format = "html_document", output_file = paste0('report.', sport, '.html'), params = list(data = subgroup, sport = sport))
rmarkdown::render("test.Rmd", output_format = "pdf_document", output_options = list(latex_engine = "xelatex"), output_file = paste0('report.', sport, '.pdf'), params = list(data = subgroup, sport = sport))
}
关于r - 使用一个数据集创建多个 rmarkdown 报告,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/64835932/
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