plot_scatter | R Documentation |
plot scatter plot for pairwise comparison
plot_scatter(
expr,
x,
y,
dge_genes = NULL,
transform_method = "vst",
filter_low_values = 1,
size = 1.5,
alpha = 0.7,
title = "Pairwsie scatter point",
xlim = NULL,
ylim = NULL,
ns_resampling = 1000,
color = "grey50",
dge_genes_color = "red2"
)
expr |
data.frame of expressing values, rownames are gene names and colnames are sample/group names, all columns are expressing values, for better transform estimation, expr should be include all sample instead of only inculde column x and y, if possible |
x |
x-axis name, corelated to one column name of expr |
y |
y-axis name, corelated to one column name of expr |
dge_genes |
character vector of differential changed genes, corelated to rownames of expr |
transform_method |
matrix transform method, one of vst, rlog or none |
filter_low_values |
numeric, filter rowMeans low value rows |
size |
point size |
alpha |
point transparency |
title |
plot title |
xlim |
two element numeric vector, restrict x axis, default: NULL |
ylim |
two element numeric vector, restrict y axis, default: NULL |
ns_resampling |
numeric, downsampling points |
color |
character vector, map point color |
dge_genes_color |
character vector, map dge_genes point color |
ggplot2 object
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