# 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"))
# 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)) r through excel pdf
Set output: pdf_document in YAML header and knit. 5. Converting Excel ↔ PDF via R R doesn’t directly convert Excel to PDF, but you can use system commands or openxlsx + print . # Install & load install
Save as PDF from Excel via COM automation (Windows only) using RDCOMClient . 6. Recommended Workflows | Task | Best R Package | |---------------------------|---------------------------| | Read Excel (fast) | readxl | | Write Excel (simple) | writexl | | Write Excel (styled) | openxlsx | | Extract PDF text | pdftools | | Extract PDF tables | tabulizer | | Create PDF from plots | pdf() or ggplot2 + ggsave | | Report with tables/plots | R Markdown → PDF | 7. Example: Excel → Analyze → PDF Report library(readxl) library(ggplot2) Read Excel sales <- read_excel("sales_data.xlsx") Analyze summary(sales) Plot p <- ggplot(sales, aes(x = date, y = revenue)) + geom_line() Save plot as PDF ggsave("report_plot.pdf", p, width = 8, height = 5) Or create full PDF report with R Markdown Save as PDF from Excel via COM automation
dev.off()
use tabulizer (Java required) or camelot .
1. Reading Excel Files in R Use the readxl package (no Java/Excel required).