r-markdown

问题 I have simple bookdown document with labeled LaTeX equation: --- title: "Equation text" output: bookdown::pdf_document2: default bookdown::word_document2: default --- Below is the binom equation \begin{equation} f\left(k\right)=\binom{n}{k}p^k\left(1-p\right)^{n-k} (\#eq:binom) \end{equation} With RStudio it Knits normally to PDF: Also it knits to docx-document and I have OMML equation inside: But for some reason I need to have this equation in MathType form. So I perform its conversion from

问题 I am trying to add a python chunk in a rmarkdown document. I installed package reticulate then here is my document: ```{r, message=FALSE, warning=FALSE, echo = FALSE} library(reticulate) ``` ```{python, echo = FALSE, eval = FALSE} a=1 a #import numpy as np #import matplotlib.pyplot as plt ## evenly sampled time at 200ms intervals #t = np.arange(0., 5., 0.2) ## red dashes, blue squares and green triangles #plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^') #plt.show() ``` However I get this

问题 R code in Rmarkdown file: col1 <- c("dummydata","dummydata","dummydata") col2 <- c("dummydata","dummydata","dummydata") col3 <- c("dummydata","dummydata","dummydata") col4 <- c("dummydata","dummydata","dummydata") col5 <- c("dummydata","dummydata","dummydata") col6 <- c("dummydata","dummydata","dummydata") col7 <- c("dummydata","dummydata","dummydata") col8 <- c("dummydata","dummydata","dummydata") df1 <- data.frame(col1,col2,col3,col4,col5,col6,col7,col8) kable(df1, format="html",table.attr=

问题 This is a part of my code. library(shiny) library(DT) library(xlsx) #r input df <- data.frame(sd = c("A1", "A1", "A1", "A1", "A1", "A1", "A1"), rsm = c("B", "B", "B", "B", "C", "C", "C"), asm = c("D", "D", "E", "E", "F", "G", "H"), sr = c("I", "J", "K", "L", "M", "N", "O"), revenue _target = c(100, 300, 200, 300, 120, 160, 100), revenue_achive = c(80, 30, 150, 450, 20, 80, 12), revenue_perachive = c(80, 10, 75, 150, 25, 50, 12), quantites_target = c(30, 40, 60, 20, 15, 42, 30), quantities

问题 In rmarkdown/bibliography, how can I convert a bunch of YAML encoded references into one of the files formats accepted by the bibliography? I am currently using: references: - id: fenner2012a title: One-click science marketing author: - family: Fenner given: Martin container-title: Nature Materials volume: 11 URL: 'http://dx.doi.org/10.1038/nmat3283' DOI: 10.1038/nmat3283 issue: 4 publisher: Nature Publishing Group page: 261-263 type: article-journal issued: year: 2012 month: 3 and would like

问题 Just like in Title: no matter how fancy or simple a plot I insert into Word from RMarkdown, I get an image with 101% height and width. This is annoying because this makes plots look blurred. Example This short .Rmd file: --- output: word_document --- ```{r, echo=F} plot(1:100) ``` knits to this: Then I right-click on it, select Properties and see it was inserted with 101% of original size (strange language below is polish ;) ) When I reset it to 100%, it looks much nicer: Question How to

问题 I'm creating reports using what I think is a combination of Rmarkdown/Knitr, YAML, LaTeX and Pandoc (I don't fully understand which parts of my code pertain to what because I'm not well versed in anything except R). I want to know how to add a "dynamic" header, where the contents of the header can be called from variables I read in, for eg., a value from a dataframe I import into the R session. Specifically, I want to add, say, a unique ID# for every report, to be printed on every page of the

问题 I want to divide my Rmarkdown document like in picture. One column for the first section then two columns in the other sections. used \onecolumn and \twocolumn but each section is created in a single page. Is there a solution to fix it? 回答1: This article has been published in a journal of the AMS. Fortunately, the rticle package supports the AMS journals. I use the standard template as generated by RStudio, change layout in the YAML header and use fancyhdr to redefine the pagestyle: layout:

问题 I have r script containing a loop in which I call rmarkdown::render() to create multiple HTML reports.The process worked well until I started to generate larger report files (which make me think about a memory problem...). After a few successful iteration, the process stops with this message in the R console: Error: pandoc document conversion failed with error 1033 . Here is how the render() function is used inside the loop : for (i in 1:length(random_vector)) { id = random_vector[i] knitr:

问题 Say I have two htmlwidgets # Load energy projection data # Load energy projection data library(networkD3) URL <- paste0( "https://cdn.rawgit.com/christophergandrud/networkD3/", "master/JSONdata/energy.json") Energy <- jsonlite::fromJSON(URL) # Plot sankeyNetwork(Links = Energy$links, Nodes = Energy$nodes, Source = "source", Target = "target", Value = "value", NodeID = "name", units = "TWh", fontSize = 12, nodeWidth = 30) and library(leaflet) data(quakes) # Show first 20 rows from the `quakes`