dev.off()
# Basic plots to PDF pdf("my_plot.pdf", width = 8, height = 6) plot(mtcars$mpg, mtcars$wt) dev.off() pdf("multi_page.pdf") for (i in 1:5) plot(rnorm(100), main = paste("Page", i))
use tabulizer (Java required) or camelot .
# Install & load install.packages("readxl") library(readxl) data <- read_excel("your_file.xlsx", sheet = "Sheet1") Specify column types data <- read_excel("file.xlsx", col_types = c("text", "numeric", "date"))
# Using LibreOffice (command line) system("libreoffice --headless --convert-to pdf my_file.xlsx") library(openxlsx) wb <- loadWorkbook("data.xlsx") Note: openxlsx cannot export to PDF directly
# tabulizer example install.packages("tabulizer") library(tabulizer) tables <- extract_tables("table_pdf.pdf") Use pdf() graphics device or rmarkdown::render() .
# writexl (simple) install.packages("writexl") library(writexl) write_xlsx(dataframe, "output.xlsx") library(openxlsx) write.xlsx(dataframe, "styled.xlsx", sheetName = "Results", rowNames = TRUE) 3. Reading PDF Files in R Extract text from PDFs using pdftools .
1. Reading Excel Files in R Use the readxl package (no Java/Excel required).
install.packages("pdftools") library(pdftools) text <- pdf_text("document.pdf") cat(text[1]) # first page Extract metadata info <- pdf_info("document.pdf")
