Plot mean betweenness centrality
plot_mean_between_centrality.RdPlot the mean betweenness centrality of the networks in a barplot. Error bars are plotted as SEM.
Usage
plot_mean_between_centrality(
e,
color_palettes = c("reds", "greens"),
colors_manual = NULL,
channels = c("cfos", "eyfp"),
labels = c(AD = "AD_label", control = "control_label"),
title = "my_title",
height = 10,
width = 10,
label_angle = 60,
rev_x_scale = FALSE,
ylim = c(0, 50),
image_ext = ".png",
print_plot = TRUE,
save_plot = TRUE
)Arguments
- e
experiment object
- color_palettes
(str, default = c("reds", "greens")) Color palettes from grDevices::hcl.colors that are used to for plotting networks characteristics for each channel, respectively.
- colors_manual
(str, default = NULL ) Manually choose the hexadecimal color codes to create a custom color palette, e.g. colors_manual = c("#660000", "#FF0000", "#FF6666"). Warning: this will be applied to all channels. It's recommended to set the channels parameter to a single channel if this parameter is used.
- channels
(str, default = c("cfos", "eyfp", "colabel")) Channels to plot
- labels
The labels to correspond with your network names.
- title
(str, default = "my_title) plot title
- height
(int, default = 10) Height of the plot in inches.
- width
(int, default = 10) Width of the plot in inches.
- label_angle
(int, default = 60)
- rev_x_scale
(bool, default = FALSE) Reveres the scale of the categorical variables the experiment object output folder.
- ylim
(vec, default = c(0,10)) Axes limits of y-axis
- image_ext
(default = ".png") image extension to the plot as.
- print_plot
(bool, default = TRUE) Whether to print the plot as an output.s
- save_plot
(bool, default = TRUE) Save into the figures subdirectory of the the experiment object output folder.