knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
RTF, PDF, HTML, and DOCX also support plots produced with the ggplot2 package. Use
the create_plot()
function to create plot content for a report. The
plot can be added to the report with the add_content()
function, just
like tables and text.
If you want to add a custom image from another charting
package, you may also pass a path to a JPEG file on the create_plot()
function.
The write_report()
function will then get the image and insert it into
the report at the specified location.
library(reporter) library(ggplot2) # Create temporary path tmp <- file.path(tempdir(), "example10.pdf") # Prepare data dat <- mtcars[order(mtcars$cyl), ] # Generate plot p <- ggplot(dat, aes(x=disp, y=mpg)) + geom_point() # Define plot object plt <- create_plot(p, height = 4, width = 8) %>% titles("Figure 1.0", "MTCARS Mileage By Displacement", blank_row = "none") %>% footnotes("* Motor Trend, 1974") # Add plot to report rpt <- create_report(tmp, output_type = "PDF") %>% set_margins(top = 1, bottom = 1) %>% options_fixed(font_size = 12) %>% page_header("Sponsor", "Study: cars") %>% add_content(plt) %>% page_footer(Sys.time(), "Confidential", "Page [pg] of [tpg]") # Write out report res <- write_report(rpt) # View report # file.show(tmp)
Next: Example 12: Styles and Themes
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