This function takes a plot or list of plots and writes them to a (multipage) file.
Arguments
- plot
Plot to save, defaults to last plot displayed.
- filename
File name to create on disk.
- width, height
Dimensions of the saved plot. Defaults to
NA
.- units
Units of length. Defaults to
"mm"
.- multiple_files
Whether to save multiple pages as individual files.
- bg
Background colour. If
NULL
, uses theplot.background
fill value from the plot theme.- ...
Other arguments passed on to the graphics device function, as specified by
device
.
Details
Handling of file dimensions. Output file dimensions are determined according the the following precedence.
The
width
andheight
arguments.Dimensions inferred from an incoming
plot
object with absolute dimensions.System default device dimensions.
Examples
# Save plot to file
study %>%
tidyplot(treatment, score) %>%
add_data_points() %>%
save_plot("single_plot.pdf")
#> ✔ save_plot: saved to single_plot.pdf
# Save intermediate stages to file
study %>%
tidyplot(x = treatment, y = score, color = treatment) %>%
add_mean_bar(alpha = 0.4) %>%
add_sem_errorbar() %>%
add_data_points_beeswarm() %>%
save_plot("before.pdf") %>%
adjust_colors(colors_discrete_seaside) %>%
save_plot("after.pdf")
#> ✔ save_plot: saved to before.pdf
#> ✔ save_plot: saved to after.pdf
# \donttest{
# Save multipage PDF file
gene_expression %>%
.[1:160,] %>%
tidyplot(group, expression, color = sample_type) %>%
add_data_points() %>%
split_plot(by = external_gene_name, nrow = 2, ncol = 2) %>%
save_plot("multipage_plot.pdf")
#> ✔ split_plot: split into 8 plots across 2 pages
#> ✔ save_plot: saved multipage PDF to multipage_plot.pdf
#> [[1]]
#>
#> [[2]]
#>
# Save multiple PDF files
gene_expression %>%
.[1:160,] %>%
tidyplot(group, expression, color = sample_type) %>%
add_data_points() %>%
split_plot(by = external_gene_name, nrow = 2, ncol = 2) %>%
save_plot("plot.pdf", multiple_files = TRUE)
#> ✔ split_plot: split into 8 plots across 2 pages
#> ✔ save_plot: saved multiple plots to plot_1.pdf and plot_2.pdf
#> [[1]]
#>
#> [[2]]
#>
# }