[R] [External] Re: Forestplot, grid graphics Viewplot grid.arange

[Putt, Mary]

Thank you very much for the offer Jim,

I have the plots for my �real data� all done�I had used the web-based example to simplify the post. I think at this point I�m going to put them together outside of R�and then do something else next time if I need to put multiple plots together. They did turn out really well using the forestplot package.

Mary

Mary Putt, PhD, ScD
Professor of Biostatistics
Department of Biostatistics, Epidemiology & Informatics
Pereleman School of Medicine
University of Pennsylvania

215-573-7020

From: Jim Lemon <drjimlemon using gmail.com>
Date: Thursday, October 13, 2022 at 11:34 PM
To: Putt, Mary <mputt using pennmedicine.upenn.edu>
Cc: r-help using r-project.org <r-help using r-project.org>
Subject: [External] Re: [R] Forestplot, grid graphics Viewplot grid.arange
Hi Mary,
I didn't see any answers to your post, but doing something like this
is quite easy in base graphics. If you are still stuck, I may be able
to suggest something.

Jim

On Mon, Oct 10, 2022 at 6:05 PM Putt, Mary <mputt using pennmedicine.upenn.edu> wrote:
>
>
> I have created several plots using the forestplot package and the link shown here. <https://cran.r-project.org/web/packages/forestplot/vignettes/forestplot.html > Great package !
> Next step is to combine two plots into a single graphic. The code provided on the link results in 'bleeding' of the graphics/text into each other. I don't want to clip it as I need the text elements. I am guessing the problem involves the combination of text and graphics in the 'plot'. I fooled around with the original post and also did some hunting online but no luck Thanks in advance.
> library(foresplot)
> data("dfHRQoL")
>
> #create individual forest plots for Sweden and Denmark
> fp_sweden <- dfHRQoL |>
>   filter(group == "Sweden") |>
>   mutate(est = sprintf("%.2f", mean), .after = labeltext) |>
>   forestplot(labeltext = c(labeltext, est),
>              title = "Sweden",
>              clip = c(-.1, Inf),
>              xlab = "EQ-5D index",
>              new_page = FALSE)
>
> fp_denmark <- dfHRQoL |>
>   filter(group == "Denmark") |>
>   mutate(est = sprintf("%.2f", mean), .after = labeltext) |>
>   forestplot(labeltext = c(labeltext, est),
>              title = "Denmark",
>              clip = c(-.1, Inf),
>              xlab = "EQ-5D index",
>              new_page = FALSE)
>
>
>
> #now combine into a single plot using the web code; but this one bleeds into each other
> library(grid)
>
> #####
> #Put plots together using grid graphics
> #Attempt 1 from website
>
> #####
> grid.newpage()
> borderWidth <- unit(4, "pt")
> width <- unit(convertX(unit(1, "npc") - borderWidth, unitTo = "npc", valueOnly = TRUE)/2, "npc")
> pushViewport(viewport(layout = grid.layout(nrow = 1,
>                                            ncol = 3,
>                                            widths = unit.c(width,
>                                                            borderWidth,
>                                                            width))
> )
> )
> pushViewport(viewport(layout.pos.row = 1,
>                       layout.pos.col = 1))
> fp_sweden
> upViewport()
> pushViewport(viewport(layout.pos.row = 1,
>                       layout.pos.col = 2))
> grid.rect(gp = gpar(fill = "grey", col = "red"))
> upViewport()
> pushViewport(viewport(layout.pos.row = 1,
>                       layout.pos.col = 3))
> fp_denmark
> upViewport(2)
>
>
> ####
> #Attempt 2 from website, still a problem.
> ####
> grid.newpage()
> borderWidth <- unit(4, "pt")
> width <- unit(convertX(unit(1, "npc") - borderWidth, unitTo = "npc", valueOnly = TRUE)/2, "npc")
> pushViewport(viewport(layout = grid.layout(nrow = 1,
>                                            ncol = 3,
>                                            widths = c(0.45, 0.1, 0.45))
> )
> )
> pushViewport(viewport(layout.pos.row = 1,
>                       layout.pos.col = 1))
> fp_sweden
> upViewport()
>
> pushViewport(viewport(layout.pos.row = 1,
>                       layout.pos.col = 3))
> fp_denmark
> upViewport(2)
>
> ###
> #Attempt 3 converting to grobs and use patchwork
> ###
> library(ggplotify)
> library(patchwork)
>
> fpd_grob <- grid2grob(print(fp_denmark))
>
> p1 <- grid2grob(print(fp_denmark))
> p2 <- grid2grob(print(fp_sweden))
> p_both <- wrap_elements(p1) + wrap_elements(p2)
> p_both
>
> #same problem with grid.arrange()**strong text**
>
>
>
> Mary Putt, PhD, ScD
> Professor of Biostatistics
> Department of Biostatistics, Epidemiology & Informatics
> Pereleman School of Medicine
> University of Pennsylvania
>
> 215-573-7020
>
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>
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