plot_clusters {XINA} | R Documentation

## plot_clusters

### Description

Draw all the clustering results. 'plot_clusters' draws two plots, scaled and unscaled line graphs. Scaled graphs have same y limits that are 0 to 1 by default, but can be changed via 'y_lim' parameter.

### Usage

    plot_clusters(clustering_result, y_lim = NULL, xval = NULL,
      xtickmark = NULL, xylab = TRUE, ggplot_theme = NULL)

### Arguments

`clustering_result` | A list containing XINA clustering results. See xina_clustering
`y_lim` | Y axis limit. If you set y_lim=c(0,1), 'plot_clusters' will plot line graphs scaled from 0 to 1 in y-axis Default is NULL, which means unscaled line graphs.
`xval` | XINA basically considers time points as a ordinary variable, like 1,2,3,4...n. You can make the time points as a continuous variable using xval.
`xtickmark` | Change X axis tick marks. Default is data_column of the clustering result list.
`xylab` | If it is FALSE, x and y labels will be blank. If it is TRUE (defualt), x and y labels will be shown.
`ggplot_theme` | This is ggplot theme to modify XINA clustering plot.

### Value

Line graphs of all the clusters

### Examples

    library(ggplot2)

    # load XINA example data
    data(xina_example)

    # Draw clustering plots
    plot_clusters(example_clusters)

    # Apply theme to the clustering plot
    theme1 <- theme(title=element_text(size=8, face='bold'),
    axis.text.x = element_text(size=7),
    axis.text.y = element_blank(),
    axis.ticks.x = element_blank(),
    axis.ticks.y = element_blank(),
    axis.title.x = element_blank(),
    axis.title.y = element_blank())
    plot_clusters(example_clusters, ggplot_theme=theme1)

[Package XINA version 1.6.0 Index]