group_heatmap_plot | R Documentation |
Heatmap plots of group summary statistics. THIS FUNCTION IS NOW IN library(scrattch.vis)
group_heatmap_plot(genes = c("Hspa8", "Snap25", "Gad2", "Vip"), clusters = 1:10, group_by = "final", calculation = "mean", data_source = "internal", normalize_rows = FALSE, logscale = T, fontsize = 7, labelheight = 25, max_width = 10, showcounts = T, rotatecounts = F, maxval = "auto", colorset = c("darkblue", "dodgerblue", "gray80", "orange", "orangered"))
genes |
A character vector containing gene symbols to be plotted. |
normalize_rows |
Logical, whether or not to rescale data within each row of the plot. Default = FALSE. |
max_width |
numeric object, percent of plot width that should be used for maximum expression values (0 to 100). Default is 10. |
data |
A data frame containing gene expression values. The first column should be sample_name |
anno |
Sample annotations. The first column should be sample_name, and each annotation should have \_id, \_label, and \_color columns |
grouping |
A character vector specifying the desc base that should be used to group cells |
group_order |
Optional: Explicit specification of group order by supplying a vector of group_ids. |
stat |
The statistic to apply to each group. Options are:
|
log_scale |
Logical , determines if data is log scaled before plotting. Default = FALSE. |
font_size |
numeric object, the font size (in pts) used to make the plot. |
label_height |
numeric object, Percent of the plot height that should be used for the labels (0 to 100). Default is 25. |
show_counts |
Logical, whether or not to display sample counts at the top of labels. Default = TRUE. |
rotate_counts |
Logical, whether or not to rotate sample counts by 90 degrees. Default = FALSE. |
return_type |
What values to return - can be "plot", "data", or "both". Default is "plot". |
a ggplot2 plot object
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