View source: R/calc-frequency.R
plot_clone_frequency | R Documentation |
Plot clonotype frequency
plot_clone_frequency(
input,
data_col = global$clonotype_col,
cluster_col = NULL,
group_col = NULL,
clones = NULL,
method = "bar",
units = "percent",
plot_colors = NULL,
plot_lvls = names(plot_colors),
trans = "identity",
panel_nrow = NULL,
panel_scales = "free_x",
n_label = "corner",
label_params = list(),
...
)
input |
Single cell object or data.frame containing V(D)J data. If a data.frame is provided, the cell barcodes should be stored as row names. |
data_col |
meta.data column containing clonotype IDs to use for calculating clonotype abundance |
cluster_col |
meta.data column containing cluster IDs to use for grouping cells when calculating clonotype frequencies. Clonotypes will be plotted separately for each cluster. |
group_col |
meta.data column to use for grouping cluster IDs present in
cluster_col. This is useful when there are multiple replicates or patients
for each treatment condition. This is only applicable when |
clones |
An integer specifying the number of clonotypes to show, or a vector giving the names of clonotypes to include. If method is set to 'line', this will specify the clonotypes to label. |
method |
Method to use for plotting, possible values include:
|
units |
Units to plot on the y-axis, either 'frequency' or 'percent' |
plot_colors |
Character vector containing colors for plotting |
plot_lvls |
Levels to use for ordering clusters |
trans |
Transformation to use for plotting data, e.g. 'log10'. By
default values are not transformed, refer to |
panel_nrow |
The number of rows to use for arranging plot panels, use this when separate bar graphs are created for each cell cluster |
panel_scales |
Should scales for plot panels be fixed or free. This passes a scales specification to ggplot2::facet_wrap, can be 'fixed', 'free', 'free_x', or 'free_y'. 'fixed' will cause panels to share the same scales. Use this when separate bar graphs are created for each cell cluster. |
n_label |
Location on plot where n label should be added, this can be any combination of the following:
|
label_params |
Named list providing additional parameters to modify clonotype and n label aesthetics, e.g. list(size = 4, color = "red") |
... |
Additional arguments to pass to ggplot2, e.g. color, fill, size, linetype, etc. |
ggplot object
calc_frequency()
, plot_frequency()
# Plot clonotype abundance using all cells
plot_clone_frequency(
vdj_sce,
data_col = "clonotype_id"
)
# Plot clonotype abundance separately for each cell cluster
plot_clone_frequency(
vdj_sce,
cluster_col = "orig.ident"
)
# Plot the frequency of each clonotype instead of percentage
plot_clone_frequency(
vdj_sce,
cluster_col = "orig.ident",
units = "frequency"
)
# Specify colors to use for each cell cluster
plot_clone_frequency(
vdj_sce,
cluster_col = "orig.ident",
plot_colors = c(avid_1 = "blue", avid_2 = "red")
)
# Specify order to use for plotting cell clusters
plot_clone_frequency(
vdj_sce,
cluster_col = "orig.ident",
plot_lvls = c("avid_2", "avid_1")
)
# Specify the number of top clonotypes to plot
plot_clone_frequency(
vdj_sce,
clones = 5
)
#' # Create line graph
# use clones to set the number of clonotypes to label
plot_clone_frequency(
vdj_sce,
cluster_col = "orig.ident",
method = "line",
clones = 3
)
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