    library(ggcyto)
    dataDir <- system.file("extdata",package="flowWorkspaceData")
    gs <- load_gs(list.files(dataDir, pattern = "gs_bcell_auto",full = TRUE))
    data(GvHD)
    fs <- GvHD[subset(pData(GvHD), Patient %in%5 & Visit %in% c(5:6))[["name"]]]

## `flowSet`

`geom_density` layer is used for one-dimensional plot.

    autoplot(fs, x = 'FSC-H')

`geom_hex` layer is added for 2d plot.

    autoplot(fs, x = 'FSC-H', y = 'SSC-H', bins = 64)

## `flowFrame` For the `flowFrame`, it can display one-dimensional plots for all channels by not supplying the `x` argument.

    autoplot(fs[[1]]) + labs_cyto("marker")

## `GatingSet`

    autoplot(gs, "CD3", bins = 64)

Here are some default settings applied:

- The instrument range is applied by default (through `ggcyto_par_set(limits = "instrument")`).
- “CD3” gate is plotted aganst its the parent population: “Live”."
- Axis labels are inverse transformed through `axis_x_inverse_trans/axis_x_inverse_trans`.

Multiple gates that share the same parent can be plotted together.

    autoplot(gs, c("CD3", "CD19"), bins = 64)

## `GatingHierarchy`

Multiple cell populations with their asssociated gates can be plotted in different panels of the same plot.

    gh <- gs[[1]]
    nodes <- gs_get_pop_paths(gh, path = "auto")[c(3:6)]
    nodes

    ## [1] "lymph" "Live"  "CD20"  "CD19"

    autoplot(gh, nodes, bins = 64)

## `ggcyto_arrange`

Optionally we can manually arrange it as a `gtable` object and manipulate the layout afterwards.

    # get ggcyto_GatingLayout object from first sample
    res <- autoplot(gs[[1]], nodes, bins = 64)
    class(res)

    ## [1] "ggcyto_GatingLayout"
    ## attr(,"package")
    ## [1] "ggcyto"

    # arrange it as one-row gtable object
    gt <- ggcyto_arrange(res, nrow = 1)
    gt

    ## TableGrob (2 x 4) "arrange": 5 grobs
    ##       z     cells    name                 grob
    ## lymph 1 (2-2,1-1) arrange       gtable[layout]
    ## Live  2 (2-2,2-2) arrange       gtable[layout]
    ## CD20  3 (2-2,3-3) arrange       gtable[layout]
    ## CD19  4 (2-2,4-4) arrange       gtable[layout]
    ##       5 (1-1,1-4) arrange text[GRID.text.1425]

    # do the same to the second sample
    gt2 <- ggcyto_arrange(autoplot(gs[[2]], nodes, bins = 64), nrow = 1)
    # combine the two and print it on the sampe page
    gt3 <- gridExtra::gtable_rbind(gt, gt2)
    plot(gt3)