r-markdown

I have an RMarkdown file that I use to generate a nice HTML report. The problem is, I want to be able to automate it so that it can run on a headless server. As such there will be nobody there to start Rstudio and press the 'knithtml' button and it seems that Rstudio is doing a LOT of additional magic like having it's own version of pandoc, running all the necessary commands, applying css styles etc. How can I take this report and generate the same thing Rstudio is generating when I press the 'knithtml' button, but by just running an R script? Thanks. Try using rmarkdown::render("/PATH/TO/YOUR

I am trying to generate about 50 reports with the same template in rMarkdown. I do not want to change the name of the input file every time and I would like to choose different names for output files. Is there any way how to automate this process? Thank you. Another option is to render your reports using the render() function of the rmarkdown package in a seperate R script. report.Rmd looks like this: --- output: pdf_document --- # A table with data received from R script ```{r,results='asis'} library("knitr") kable(mydataset) ``` The R script looks like that: library("rmarkdown") for (i in 1

I am trying to use the package stargazer in RStudio to generate a summary table of my data. For some reason, I am not able to view the table in the output when I use either the html or latex code, but I can see it when I output as text. An example: library(stargazer) stargazer(attitude, type = 'text') Output looks like (as it is supposed to): ## ## ===================================== ## Statistic N Mean St. Dev. Min Max ## ------------------------------------- ## rating 30 64.633 12.173 40 85 ## complaints 30 66.600 13.315 37 90 ## privileges 30 53.133 12.235 30 83 ## learning 30 56.367 11

I am working on creating a dynamic rmarkdown document. The end result should create a tab for each 'classification' in the data. Each tab should have a datatable, from the DT package, with the data printed to it. Below is the code I have been using: --- output: html_document --- # Setup{.tabset} ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = FALSE) library(knitr) library(DT) ``` ```{r data.setup} set.seed = 1242 rows = 64 data.1 = runif(rows, 25, 75) data.2 = runif(rows, .01, 1) data.3 = runif(rows, 1, 10) classification = c("A", "B", "C", "D") df = data.frame(cbind(data.1 = data.1,