Set internal document link as table value in Rmarkdown - r

I would like to set each value of a column in a datatable as an internal link to a different slide. Below is what I have tried but the link is not selectable.
---
title: "Example"
output: slidy_presentation
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
```
```{r message=FALSE, warning=FALSE, include=FALSE}
library(DT)
library(tidyverse)
```
## Table
```{r carstab, echo = FALSE}
datatable(mtcars %>% rownames_to_column(var = "plot") %>% mutate(plot = ("[plot](#/plot)")),escape = TRUE)
```
## plot
```{r plot, echo = TRUE}
plot(mtcars)
```

mutate(plot = ("[plot](#/plot)")) does not work because the markdown code [plot](#/plot) will not be translated to HTML. Its a character.
You want something like <a href = '#(slide_number)'> This is a link </a> in your DT cells.
You could generate such links using paste0():
datatable(
mtcars %>%
mutate(
plot = 3,
plot = paste0("<a href = '#(", plot, ")'>link</a>"),
), escape = FALSE
)
The plot column in your DT now contains valid links to slide 3 (modify the first instance of plot in mutate() accordingly to link to different slides).

Related

add "continued" to long table caption using flextable in docx r

I knit code below. and this is the output. long in kbl(0 for html, I want to have the term "continued" in flextable for docx too. what is the trick?
---
title: ''
output: word_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
```{r echo=FALSE, message=FALSE, warning=FALSE}
library(flextable)
library(dplyr)
library(ggplot2)
mpg[, 1:4] %>%
flextable() %>%
set_caption(caption = "my caption") %>%
set_table_properties(width = 1, layout = "autofit")
```

R markdown: how to print dataframe compactly

I am using knitr::kable to print my dataframes, but sometimes they are too big. Is there any simple way to print them compactly with scrollbar?
For example, I do:
knitr::kable(mtcars)
How could I add scrolling by condition (for example, if nrow > 10 and/or ncol > 10)?
P.S. DT::datatable doesn't work for big ncol:
I need exactly scrolling interface.
You can add scrollbars. For example, with kableExtra or DT:
R Markdown
---
title: "Untitled"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(kableExtra)
```
Some very wide data:
```{r}
df <- cbind(mtcars, mtcars)
```
With `kableExtra`:
```{r}
kable(df) %>%
kable_styling("striped", full_width = F) %>%
scroll_box(width = "100%", height = "200px")
```
Or with `DT`:
```{r}
DT::datatable(
df,
height = 200,
options = list(scrollX = TRUE)
)
```
output

how to add a (multipage) pdf to rmarkdown?

Consider this simple example
library(dplyr)
library(ggplot2)
library(tidyr)
mydata <- data_frame(group = c('a', 'a', 'a', 'b', 'b', 'b'),
x = c(1,2,3,5,6,7),
y = c(3,5,6,4,3,2))
mydata2 <- mydata %>% group_by(group) %>%
nest() %>%
mutate(myplot = map(data, ~ggplot(data = .x, aes(x = x, y = x)) + geom_point()))
pdf("P://mychart.pdf")
print(mydata2$myplot)
dev.off()
The code above will output a pdf with two pages. How can I show these two pages on my rmarkdown document?
Using
---
title: "crazy test"
output:
pdf_document
---
```{r global_options, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.pos = 'h')
```
ttt
## this is a test!!
```{r label, out.width = "85%", fig.cap = "caption"}
knitr::include_graphics(path = "P://mychart.pdf")
```
will only show the first page of the pdf! Where is the other chart? :(
Any ideas?
Thanks!
One can use pdfpages to include multiple pages from a PDF file at once. However, these are included on separate pages. While it is possible to add page numbers, you cannot easily put these images into a figure environment. Fortunately, \includegraphics has an option to use individual pages from a PDF. Unfortunately, knitr::include_graphics
does not allow passing additional arguments to \includegraphics.
Here both possibilities:
---
title: "crazy test"
output:
pdf_document
header-includes:
- \usepackage{pdfpages}
---
```{r global_options, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.pos = 'h')
```
```{r, include=FALSE}
library(dplyr)
library(ggplot2)
library(tidyr)
library(purrr)
mydata <- data_frame(group = c('a', 'a', 'a', 'b', 'b', 'b'),
x = c(1,2,3,5,6,7),
y = c(3,5,6,4,3,2))
mydata2 <- mydata %>% group_by(group) %>%
nest() %>%
mutate(myplot = map(data, ~ggplot(data = .x, aes(x = x, y = x)) + geom_point()))
pdf("mychart.pdf")
print(mydata2$myplot)
dev.off()
```
## this is a test!!
Only first page
```{r label, out.width = "85%", fig.cap = "caption"}
knitr::include_graphics(path = "mychart.pdf")
```
All pages but w/o caption and taking a full page
\includepdf[pages=-,nup=2,pagecommand={}]{mychart.pdf}
Alternative, using explicit LaTeX commands.
\begin{figure}
\includegraphics[page=1,width=0.5\linewidth]{mychart.pdf}
\includegraphics[page=2,width=0.5\linewidth]{mychart.pdf}
\caption{\label{fig:test} Test.}
\end{figure}
One could also put these into a R chunk with cat() and result = 'asis'. However, the options for setting caption etc. are still not used.
Here's the Rmd solution with staplr. Please be advised that you need to install pdftk for split_pdf to work
---
title: "crazy test"
output:
pdf_document
---
```{r global_options, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.pos = 'h')
```
## Split pdf
```{r}
staplr::split_pdf("mychart.pdf", output_directory = ".", prefix = "mychart_")
```
## Add pdfs
```{r label, out.width = "85%", fig.cap = c("caption 1", "caption 2"), echo = FALSE}
flist <- list.files()
mychart_files <- flist[grep("mychart_", flist)]
knitr::include_graphics(mychart_files)
```
Also, include graphics doesn't work in a loop. But it accepts multiple paths, so that works out well.
knitr has a specific chunk option called out.extra that allows to pass options to the \includegraphics command. See about this option in knitr doc.
This means it can be used to page the option page. Using the example above, you could do
---
title: "crazy test"
output:
pdf_document:
keep_tex: TRUE
---
```{r global_options, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, fig.pos = 'h')
```
```{r, include=FALSE}
library(dplyr)
library(ggplot2)
library(tidyr)
library(purrr)
mydata <- tibble(group = c('a', 'a', 'a', 'b', 'b', 'b'),
x = c(1,2,3,5,6,7),
y = c(3,5,6,4,3,2))
mydata2 <- mydata %>% group_by(group) %>%
nest() %>%
mutate(myplot = map(data, ~ggplot(data = .x, aes(x = x, y = x)) + geom_point()))
pdf("mychart.pdf")
print(mydata2$myplot)
dev.off()
```
Only first page
```{r label, out.width = "85%", fig.cap = "caption"}
knitr::include_graphics(path = "mychart.pdf")
```
second page
```{r label2, out.width = "85%", fig.cap = "caption", out.extra="page=2"}
knitr::include_graphics(path = "mychart.pdf")
```

how to automatically rename columns with math mode?

Consider this simple example
---
title: "Untitled"
output:
pdf_document: default
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
options(knitr.table.format = "latex")
```
## Slide with R Output
```{r , echo = FALSE ,warning = FALSE}
library(knitr)
library(kableExtra)
library(dplyr)
cars %>%
filter(dist < 5) %>%
kable('latex', booktabs = T, escape = F, col.names = c( "$\\alpha$" , "$\\beta$" ) ) %>%
kable_styling(latex_options = c("striped", "hold_position"),
full_width = T)
```
Now this correcly generates the following output
The issue is that the renaming in col.names is manual and very tedious when my dataframe has many columns.
I would like to be able to able to say " if you see this variable dist in the dataframe, then map it to $\alpha$. Otherwise leave as is.
How can this be done?
Note, I am rendering the file using rmarkdown::render()
Thanks!!

How to fit large frequency table into R markdown ioslides?

I'm trying to fit large table of frequencies into my slide. There are many values, and even the rare ones would be nice to show.
I played with different options but none gives me a satisfactory solution. Here is Rmd so far:
---
title: "Untitled"
author: "author"
date: "date"
output: ioslides_presentation
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
df <- as.data.frame(table(rownames((USArrests))))
```
## table 1
```{r t1, echo = TRUE}
table(rownames((USArrests)))
```
## table 2
```{r t2}
library(knitr)
library(kableExtra)
kable(df, "html") %>%
kable_styling(bootstrap_options = "striped", font_size = 10)
```
Table 1 doesn't fit:
Table 2 could be squeezed but with tiny font, and lots of wasted space on the sides.
I also looked into pander, xtable and stargazer but failed to find solution from them either.
Any other alternatives?
You could spread your table across multiple columns to fit the space. In my example below, I split the frame up into 3 pairs of columns with uneven length.
---
output: ioslides_presentation
---
```{r setup, include=FALSE}
library(dplyr)
library(magrittr)
library(knitr)
library(kableExtra)
```
## table 1
```{r, echo=TRUE, eval=FALSE}
USArrests %>% rownames %>% table
```
```{r, echo=FALSE}
df <- USArrests %>%
rownames %>%
table %>%
as_tibble
df %$%
tibble(
name1 = `.`[1:17],
n1 = n[1:17],
name2 = `.`[18:34],
n2 = n[18:34],
name3 = c(`.`[35:50], ""),
n3 = c(n[35:50], "")
) %>%
kable("html", align = c("l", "c"), col.names = rep(c("Name", "Frequency"), 3)) %>%
kable_styling(bootstrap_options = c("striped", "condensed"), font_size = 18)
```
N.B. I accept the transform step into multiple columns could have been done more elegantly and providing and more programmatic solution, however, I'll leave that to others to refine.

Resources