I am trying to use the checkmark unicode character (\u2713) in a table rendered by kable in a bookdown project. A MWE consists in the following 2 files (index.Rmd, preamble.tex) part of the generated minimal bookdown project.
index.Rmd
---
title: "A Minimal Book Example"
subtitle: "subtitle"
lang: fr
author: "Yihui Xie"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
documentclass: book
mainfont: Arial
mathfont: Arial
bibliography: [book.bib, packages.bib]
biblio-style: apalike
link-citations: yes
subparagraph: yes
description: "This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook."
---
```{r setup, include=FALSE}
# Set locale to french for month and day names (calendar plots)
Sys.setlocale(locale = 'French')
# Load all needed libraries
if(!require('pacman'))install.packages('pacman')
pacman::p_load(kableExtra)
```
(ref:O3) O~3~
# Prerequisites
✓
```{r stations-polluants, echo=FALSE}
stations_polluants_table <- data.frame(
stations = c("41B001", "41B004", "41B011", "41MEU1", "41N043", "41R001", "41R002", "41R012", "41WOL1", "Total / polluant"),
O3 = c("", rep("✓", 5), "", rep("\u2713", 2), "7")
)
kable(stations_polluants_table, col.names = c("Station", "(ref:O3)"), booktabs = T, align = "c", caption = "Caption text") %>%
row_spec(0, bold = T) %>%
row_spec(10, bold = T) %>%
collapse_rows(columns = 1, latex_hline = "major", valign = "top")
```
```{r include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(c(
.packages(), 'bookdown', 'knitr', 'rmarkdown'
), 'packages.bib')
```
preamble.tex
\usepackage{booktabs}
\newfontfamily{\unicodefont}{Arial Unicode MS}
\usepackage{newunicodechar}
\newunicodechar{✓}{{\unicodefont{✓}}}
By compiling in PDF with rmarkdown::render_site(output_format = 'bookdown::pdf_book', encoding = 'UTF-8') one can notice that ✓ is correctly rendered in the text, while it is replaced by <U+2713> in the generated table. I also tried to use \u2713 in the table without more success.
What am I doing wrong ? Please note that, even if the prefered output is PDF, I would also like to compile as gitbook (so Rmd files need to stay independent from the output format).
Many thanks.
After having a moment of clarity, the solution simply lies in using text references in bookdown, i.e. (ref:check) ✓ and use the reference within the table.
index.Rmd
```{r setup, include=FALSE}
# Set locale to french for month and day names (calendar plots)
Sys.setlocale(locale = 'French')
# Load all needed libraries
if(!require('pacman'))install.packages('pacman')
pacman::p_load(kableExtra)
```
(ref:O3) O~3~
# Prerequisites
✓
(ref:check) ✓
```{r stations-polluants, echo=FALSE}
stations_polluants_table <- data.frame(
stations = c("41B001", "41B004", "41B011", "41MEU1", "41N043", "41R001", "41R002", "41R012", "41WOL1", "Total / polluant"),
O3 = c("", rep("(ref:check)", 5), "", rep("(ref:check)", 2), "7")
)
kable(stations_polluants_table, col.names = c("Station", "(ref:O3)"), booktabs = T, align = "c", caption = "Caption text") %>%
row_spec(0, bold = T) %>%
row_spec(10, bold = T) %>%
collapse_rows(columns = 1, latex_hline = "major", valign = "top")
```
```{r include=FALSE}
# automatically create a bib database for R packages
knitr::write_bib(c(
.packages(), 'bookdown', 'knitr', 'rmarkdown'
), 'packages.bib')
```
Related
Since yesterday, I get a confusing error, when trying to knit my Markdown files to PDF. I get this warning:
This is pdfTeX, Version 3.141592653-2.6-1.40.24 (TeX Live 2022) (preloaded format=pdflatex)
restricted \write18 enabled.
entering extended mode
I was unable to find any missing LaTeX packages from the error log Chapter-5-1.log.
! Extra }, or forgotten \endgroup.
\endwraptable ...kip \egroup \box \z# \fi \egroup
\WF#floatstyhook \def \wid...
l.156 \end{wraptable}
Fehler: LaTeX failed to compile Chapter-5-1.tex. See https://yihui.org/tinytex/r/#debugging for debugging tips. See Chapter-5-1.log for more info.
Ausführung angehalten
The problem seems to be the kable tables, which have been knit in prior tries just nicely. In the error log, this is printed:
Overfull \hbox (165.80571pt too wide) in paragraph at lines 142--158
[][]
[]
! Extra }, or forgotten \endgroup.
\endwraptable ...kip \egroup \box \z# \fi \egroup
\WF#floatstyhook \def \wid...
l.158 \end{wraptable}
A friend of mine tried to compile the tex file directly to PDF, but got the same error. We where not able to find a missing } or any other error in the coding. All tables and code is running without error in the markdown preview.
I get the same error, when I try to knit a document with a dummy table, so I hope that works as a reproducible example.
---
title: "Chapter 5"
author: "Moiken Hinrichs"
date: "`r format(Sys.time(), '%d.%m.%Y')`"
header-includes:
- \usepackage{caption}
- \usepackage{float}
- \captionsetup[figure]{font=footnotesize}
- \usepackage{subfig}
- \usepackage{flafter}
- \usepackage{footmisc}
output:
bookdown::pdf_document2:
extra_dependencies: ["flafter"]
number_sections: true
toc: false
latex_engine: xelatex
classoption: twoside
keep_tex: true
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(knitr)
library(kableExtra)
library(dplyr, quietly=T)
library(tidyr)
```
```{r prox}
column1 <- c("Bert", "Angela", "Nico", "Pam", "Max")
column2 <- c(33, 54, 85, 96, 57)
prox <- data.frame(column1, column2)
prox[nrow(prox)+1, ] <- c('Total', sum(prox$column2))
kable(prox, booktabs = T, linesep = "",
col.names = c("Name", "Count"),
caption = "Number of items") %>%
kable_styling(latex_options = "striped", position = "float_right") %>%
row_spec(5, hline_after = T) %>%
row_spec(6, bold = T)
```
R studio and tinytex are updated. I tried all the debugging tips and uninstalled and installed tinytex new. The same error is also happening when I try to knit on another computer. I also tried to change from xelatex to pdflatex but the error was the same.
The wrapfig package does not particular like zero width wrapfigure or -table environments with captions. Unfortunately that's the width rmarkdown seems to use by default.
The package documentation has the following to say about the topic:
[...] However, if you specify a width of zero (0pt), the actual width of the figure will determine the wrapping width. A following \caption should have the same width as the figure, but it might fail badly; it is safer to specify a width when you use a caption.
You can avoid the problem by choosing a suitable width:
---
title: "Chapter 5"
author: "Moiken Hinrichs"
date: "`r format(Sys.time(), '%d.%m.%Y')`"
header-includes:
- \usepackage{caption}
- \usepackage{float}
- \captionsetup[figure]{font=footnotesize}
- \usepackage{subfig}
- \usepackage{flafter}
- \usepackage{footmisc}
- \usepackage{lipsum}
output:
bookdown::pdf_document2:
extra_dependencies: ["flafter"]
number_sections: true
toc: false
latex_engine: xelatex
classoption: twoside
keep_tex: true
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(knitr)
library(kableExtra)
library(dplyr, quietly=T)
library(tidyr)
```
```{r prox}
column1 <- c("Bert", "Angela", "Nico", "Pam", "Max")
column2 <- c(33, 54, 85, 96, 57)
prox <- data.frame(column1, column2)
prox[nrow(prox)+1, ] <- c('Total', sum(prox$column2))
kable(prox, booktabs = T, linesep = "",
col.names = c("Name", "Count"),
caption = "Number of items") %>%
kable_styling(latex_options = "striped", position = "float_right", wraptable_width = "3cm") %>%
row_spec(5, hline_after = T) %>%
row_spec(6, bold = T)
```
\lipsum
I am able to knit to PDF for the example below:
---
title: "R Notebook"
output:
pdf_document: default
html_notebook: default
html_document:
df_print: paged
---
Table 1 example:
```{r, warning=FALSE, message=FALSE, echo=FALSE, include=FALSE, fig.pos="H"}
library(magrittr)
library(tidyverse)
library(kableExtra)
library(readxl)
library(modelsummary)
library(scales)
tmp <- mtcars
# create a list with individual variables
# remove missing and rescale
tmp_list <- lapply(tmp, na.omit)
tmp_list <- lapply(tmp_list, scale)
# create a table with `datasummary`
# add a histogram with column_spec and spec_hist
# add a boxplot with colun_spec and spec_box
emptycol = function(x) " "
final_4_table <- datasummary(mpg + cyl + disp + hp + drat + wt + qsec + vs + am + gear + carb ~ N + Mean + SD + Heading("Boxplot") * emptycol + Heading("Histogram") * emptycol, data = tmp) %>%
column_spec(column = 5, image = spec_boxplot(tmp_list)) %>%
column_spec(column = 6, image = spec_hist(tmp_list))
```
```{r finaltable, echo=FALSE}
final_4_table
```
However, I cannot knit to PDF my own code which involves more variables. My R Markdown starts by reading my excel file and then it is pretty much the same as example above:
---
title: "table1"
output:
pdf_document: default
html_document:
df_print: paged
---
Table 1
```{r prep-tableone, message=FALSE, warning=FALSE, echo=FALSE, include=FALSE, fig.pos="H"}
library(magrittr)
library(tidyverse)
library(kableExtra)
library(readxl)
library(modelsummary)
library(scales)
### set directory
setwd("/etcetc1")
## read dataset
my_dataset <- read_excel("my_dataset.xlsx")
my_dataset <- as.data.frame(my_dataset)
...
I can run this code in R script; it works just fine. I can also knit this code to HTML just fine. When trying to knit to PDF I get the following error:
output file: table1test.knit.md
! Package pdftex.def Error: File `table1test_files/figure-latex//boxplot_65c214bae9bb.pdf' not found: using draft setting.
Error: LaTeX failed to compile table1test.tex. See https://yihui.org/tinytex/r/#debugging for debugging tips. See table1test.log for more info.
In addition: Warning messages:
1: package 'ggplot2' was built under R version 4.1.1
2: package 'tibble' was built under R version 4.1.1
3: package 'tidyr' was built under R version 4.1.1
4: In in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE, :
You changed the working directory to /etcetc1 (probably via setwd()). It will be restored to /etcetc2. See the Note section in ?knitr::knit
Execution halted
Am I missing any packages? Do you know what might be happening?
I use TeXShop for LaTeX.
I have a basic reproducible example here that I think might just be a package limitation. I was wondering if I am just doing something wrong? They both plot fine separately but when combined in the same markdown make the dashboard unable to correctly render.
---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: rows
source_code: embed
runtime: shiny
---
```{r setup, include=FALSE}
library(tidyverse)
library(plotly)
library(albersusa)
state_sf <- usa_sf("aeqd")
state_dat <- data.frame(state = c("Washington", "Wyoming","Texas","California"), pct = c(0.3,0.5,0.8,0.1))
state_map <- state_sf %>%
left_join(state_dat, by = c("name" = "state"))
```
Test
=====================================
Sidebar {.sidebar data-width=200}
-------------------------------------
Testing
Row
-----------------------------------------------------------------------
###Plotly
```{r graph 1, fig.height=4, fig.width=6}
#Symptoms by state last week===================================================
ggplotly(
ggplot(data = state_map) +
geom_sf(aes(fill=pct))
)
```
###Bar
```{r graph 2, fig.height=4, fig.width=3}
ggplot(data=state_dat) +
geom_col(aes(state,pct,fill=pct))
```
If you are using runtime: shiny you need to use the proper type of Shiny's renderX() functions for each type of plot object to display properly. I don't know why only one plot chunk (w/o renderX()) works, but two breaks it.
### Plotly
```{r graph_1, fig.height=4, fig.width=3}
#Symptoms by state last week
renderPlotly({
ggplotly(
ggplot(data = state_map) +
geom_sf(aes(fill=pct))
)
})
```
### Bar
```{r graph_2, fig.height=4, fig.width=3}
renderPlot({
ggplot(data=state_dat) +
geom_col(aes(state,pct,fill=pct))
})
```
I'm trying to download report form shiny app using R Markdown, but I'm lost! I need to pass a plot from shiny as parameter to R Markdown, and then, include this plot in my report.
I searched a lot about this, but I couldn't find anything. How can I plot this in my report?
Server.R
lm_dif_filter <- reactive({
lm_dif_corn[(lm_dif_corn$farmer == input$farmer) & (lm_dif_corn$Treat_X == 'Farmer'),]
})
output$difPlot <- renderPlotly({
dif <- ggplot(data=lm_dif_filter(), aes(x=Treat_Y, y=dif)) +
geom_bar(stat="identity",color = 'black', position=position_dodge(), width = 0.7)+
geom_hline(yintercept = 0) +
#annotate("text", min(Treat_Y), 0, vjust = -1, label = "Farmer")+
theme(legend.position = "none") +
labs(x = "Treats", y = "Diff")
ggplotly(dif)
To download:
output$report <- downloadHandler(
filename = "report.pdf",
content = function(file) {
tempReport <- file.path(tempdir(), "report.Rmd")
file.copy("report.Rmd", tempReport, overwrite = TRUE)
# Set up parameters to pass to Rmd document
params <- list(set_subtitle = input$farmer, plot = output$difPlot)
rmarkdown::render(tempReport, output_file = file,
params = params,
envir = new.env(parent = globalenv())
)
}
)
My report.rmd
---
title: "Some title"
params:
set_subtitle: test
plot: NA
subtitle: "`r params$set_subtitle`"
date: '`r format(Sys.Date(), "%B %d, %Y")`'
output:
pdf_document:
toc: yes
header-includes:
- \usepackage{fancyhdr}
always_allow_html: yes
---
\addtolength{\headheight}{1.0cm}
\pagestyle{fancyplain}
\lhead{\includegraphics[height=1.2cm]{bg.png}}
\renewcommand{\headrulewidth}{0pt}
```{r, include=FALSE}
options(tinytex.verbose = TRUE)
knitr::opts_chunk$set(echo = FALSE)
cat(params$plot)
One easy option is to not pass the plot, and instead pass the parameter, and refer to a shared plot function used by the shiny app and Rmd doc. For example,
Shiny app,
note the source("util.R") and report_hist(params$n)
source("util.R")
library(shiny)
shinyApp(
ui = fluidPage(
sliderInput("slider", "Slider", 1, 100, 50),
downloadButton("report", "Generate report"),
plotOutput("report_hist")
),
server = function(input, output) {
output$report_hist <- renderPlot({
report_hist(n = input$slider)
})
output$report <- downloadHandler(
# For PDF output, change this to "report.pdf"
filename = "report.html",
content = function(file) {
# Copy the report file to a temporary directory before processing it, in
# case we don't have write permissions to the current working dir (which
# can happen when deployed).
tempReport <- file.path(tempdir(), "report.Rmd")
file.copy("report.Rmd", tempReport, overwrite = TRUE)
# Set up parameters to pass to Rmd document
params <- list(n = input$slider)
# Knit the document, passing in the `params` list, and eval it in a
# child of the global environment (this isolates the code in the document
# from the code in this app).
rmarkdown::render(tempReport, output_file = file,
params = params,
envir = new.env(parent = globalenv())
)
}
)
}
)
Rmd report,
note the report_hist(params$n)
---
title: "Dynamic report"
output: html_document
params:
n: NA
---
```{r}
# The `params` object is available in the document.
params$n
```
A plot of `params$n` random points.
```{r}
report_hist(params$n) #note this function was created in util.R and loaded by the shiny app.
```
Shared function in util.R
report_hist <- function(n){
hist(rnorm(n))
}
Here's a demo shiny app you can test it out with, https://rstudio.cloud/project/295626
i am trying to figure out if there is a possibility to download a report withing interactive flexdashboard?
We do have possibility to download a report using Shiny (downloadButton), however there is nothing mentioned in the flexdashboard documentation about downloading the report (i have seen only examples for downloading the data etc, which is quite easy).
Sample code from the examples of flexdasboard:
---
title: "Old Faithful Eruptions"
output:
flexdashboard::flex_dashboard:
orientation: rows
social: menu
source_code: embed
runtime: shiny
---
```{r global, include=FALSE}
# load data in 'global' chunk so it can be shared by all users of the dashboard
library(datasets)
data(faithful)
```
Column {.sidebar}
-----------------------------------------------------------------------
Waiting time between eruptions and the duration of the eruption for the
Old Faithful geyser in Yellowstone National Park, Wyoming, USA.
```{r}
selectInput("n_breaks", label = "Number of bins:",
choices = c(10, 20, 35, 50), selected = 20)
sliderInput("bw_adjust", label = "Bandwidth adjustment:",
min = 0.2, max = 2, value = 1, step = 0.2)
```
Column
-----------------------------------------------------------------------
### Geyser Eruption Duration
```{r}
renderPlot({
hist(faithful$eruptions, probability = TRUE, breaks = as.numeric(input$n_breaks),
xlab = "Duration (minutes)", main = "Geyser Eruption Duration")
dens <- density(faithful$eruptions, adjust = input$bw_adjust)
lines(dens, col = "blue")
})
```
It would be great if someone could help insert the downloadButton which is going to give a pdf report based on flexdasboard code.
There has been similat question to mine, however noone has answered it.