knitr - How to align code and plot side by side

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半阙折子戏
半阙折子戏 2021-02-20 11:25

is there a simple way (e.g., via a chunk option) to get a chunk\'s source code and the plot it produces side by side, as on page 8 (among others) of this document?

I tri

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  • 2021-02-20 11:44

    Well, this ended up being trickier than I'd expected.

    On the LaTeX side, the adjustbox package gives you great control over alignment of side-by-side boxes, as nicely demonstrated in this excellent answer over on tex.stackexchange.com. So my general strategy was to wrap the formatted, tidied, colorized output of the indicated R chunk with LaTeX code that: (1) places it inside of an adjustbox environment; and (2) includes the chunk's graphical output in another adjustbox environment just to its right. To accomplish that, I needed to replace knitr's default chunk output hook with a customized one, defined in section (2) of the document's <<setup>>= chunk.

    Section (1) of <<setup>>= defines a chunk hook that can be used to temporarily set any of R's global options (and in particular here, options("width")) on a per-chunk basis. See here for a question and answer that treat just that one piece of this setup.

    Finally, Section (3) defines a knitr "template", a bundle of several options that need to be set each time a side-by-side code-block and figure are to be produced. Once defined, it allows the user to trigger all of the required actions by simply typing opts.label="codefig" in a chunk's header.

    \documentclass{article}
    
    \usepackage{adjustbox}            %% to align tops of minipages
    \usepackage[margin=1in]{geometry} %% a bit more text per line
    
    \begin{document}
    
    <<setup, include=FALSE, cache=FALSE>>=
    ## These two settings control text width in codefig vs. usual code blocks
    partWidth <- 45
    fullWidth <- 80
    options(width = fullWidth)
    
    ##  (1) CHUNK HOOK FUNCTION
    ##   First, to set R's textual output width on a per-chunk basis, we
    ## need to define a hook function which temporarily resets global R's
    ## option() settings, just for the current chunk
    knit_hooks$set(r.opts=local({
        ropts <- NA
        function(before, options, envir) {
            if (before) {
                ropts <<- options(options$r.opts)
            } else {
                options(ropts)
            }
        }
    }))
    
    ## (2) OUTPUT HOOK FUNCTION
    
    ##   Define a custom output hook function. This function processes _all_
    ## evaluated chunks, but will return the same output as the usual one,
    ## UNLESS a 'codefig' argument appeared in the chunk's header.  In that
    ## case, wrap the usual textual output in LaTeX code placing it in a
    ## narrower adjustbox environment and setting the graphics that it
    ## produced in another box beside it.
    
    defaultChunkHook <- environment(knit_hooks[["get"]])$defaults$chunk
    
    codefigChunkHook <- function (x, options) {
            main <- defaultChunkHook(x, options)
            before <-
                "\\vspace{1em}\n
                 \\adjustbox{valign=t}{\n
                 \\begin{minipage}{.59\\linewidth}\n"
            after <-
                paste("\\end{minipage}}
                       \\hfill
                       \\adjustbox{valign=t}{",
                       paste0("\\includegraphics[width=.4\\linewidth]{figure/",
                               options[["label"]], "-1.pdf}}"), sep="\n")
        ## Was a codefig option supplied in chunk header?
        ## If so, wrap code block and graphical output with needed LaTeX code.
        if (!is.null(options$codefig)) {
          return(sprintf("%s %s %s", before, main, after))
        } else {
          return(main)
        }
    }
    
    knit_hooks[["set"]](chunk = codefigChunkHook)
    
    
    ## (3) TEMPLATE
    ##   codefig=TRUE is just one of several options needed for the
    ## side-by-side code block and a figure to come out right. Rather
    ## than typing out each of them in every single chunk header, we
    ## define a _template_ which bundles them all together. Then we can
    ## set all of those options simply by typing opts.label="codefig".
    
    opts_template[["set"]](
    codefig = list(codefig=TRUE, fig.show = "hide",
                   r.opts = list(width=partWidth),
                   tidy = TRUE,
                   tidy.opts = list(width.cutoff = partWidth)))
    @
    
    A chunk without \texttt{opts.label="codefig"} set...
    <<A>>=
    1:60
    @
    
    \texttt{opts.label="codefig"} \emph{is} set for this one
    
    <<B, opts.label="codefig", fig.width=8, cache=FALSE>>=
    library(raster)
    library(RColorBrewer)
    
    ## Create a factor raster with a nice RAT (Rast. Attr. Table)
    r <- raster(matrix(sample(1:10, 100, replace=TRUE), ncol=10, nrow=10))
    r <- as.factor(r)
    rat <- levels(r)[[1]]
    rat[["landcover"]] <- as.character(1:10)
    levels(r) <- rat
    
    ## To get a nice grid...
    p <- as(r, "SpatialPolygonsDataFrame")
    
    ## Plot it
    plot(r, col = brewer.pal("Set3", n=10),
         legend = FALSE, axes = FALSE, box = FALSE)
    plot(p, add = TRUE)
    text(p, label =  getValues(r))
    @
    
    \texttt{opts.label="codefig"} not set, and all settings back to ``normal''.
    <<C>>=
    lm(mpg ~ cyl + disp + hp + wt + gear, data=mtcars)
    @
    
    
    \end{document}
    

    enter image description here

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  • 2021-02-20 12:02

    I see 3 possibilities

    • for beamer presentations, I'd go for \begin{columns} ... \end{columns} as well.
    • If it is only one such plot: Minipages
    • Here I used a table (column code and column result). (This example is "normal" Sweave)

    For all three, the chunk options would have include = FALSE, and the plot would "manually" be put to the right place by \includegraphics[]{}.

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  • 2021-02-20 12:02

    You can display the text in a 'textplot' from package PerformanceAnalytics or gplots.

    (Little) downside: To my knowledge there is no Syntax highlighting possible.

    Sample Code:

    ```{r fig.width=8, fig.height=5, fig.keep = 'last', echo=FALSE}
    suppressMessages(library(PerformanceAnalytics))
    layout(t(1:2))
    textplot('plot(1:10)')
    plot(1:10)
    ```
    
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