View source: R/expressionHeatmapBar.R
expressionHeatmapBar | R Documentation |
It takes 3 data.frames with expression values regardless the strand, sense or antisense (i.e., featureCounts -s 0|1|2) and draws a heatmap with the expression values and an hotizontal barplot with the expression sense and antisense.
expressionHeatmapBar(
expr,
expr_sense,
expr_antisense,
cols = NULL,
genes = NULL,
hm_values = T,
hm_value_round = 0,
hm_value_size = 3,
hm_value_color = "black",
hm_legend_colors = c("white", "cornflowerblue"),
hm_legend_limits = c(0, expr %>% dplyr::select(is.numeric) %>% max()),
hm_legend_breaks = seq(hm_legend_limits[1], hm_legend_limits[2], 1e+05),
hm_legend_title = "Counts",
hm_legend_size = c(40, 7),
bar_pos = "fill",
bar_xlab = NULL,
bar_colors = c("lightgreen", "lightpink"),
combine_plots = T,
plot_title = NULL
)
expr |
Dataframe with a Geneid column and expression values or NULL. Column names must be equal to 'expr_sense' and 'expr_antisense'. |
expr_sense |
Dataframe with a Geneid column and expression values . Column names must be equal to 'expr' and 'expr_antisense'. |
expr_antisense |
Dataframe with a Geneid column and expression values . Column names must be equal to 'expr' and 'expr_sense'. |
cols |
Character vector with the names of the columns to take into account (Geneid does not count) or NULL. If NULL, all columns are taken into account. Default: NULL |
genes |
Character vector with the names of the genes to take into account or NULL. If NULL, all genes are taken into account. Default: NULL |
hm_values |
Logical of length 1. If TRUE (the default), write the corresponding expression values in each cell of the heatmap |
hm_value_round |
Numerical of length 1. The number of decimals the expression values will be rounded to. Default: 0. |
hm_value_size |
Numerical of length 1. Size of the expression values written in the heatmap. Default: 3. |
hm_value_color |
Charachter of length 1. Color of the expression values written in the heatmap. Default: "black". |
hm_legend_colors |
Character of length 2. Colors for the lower and upper limits of the heatmap, respectively. Passed through scale_fill_gradient. Default: c("white", "cornflowerblue"), |
hm_legend_limits |
Numerical of length 2. Lower and upper limits of the heatmap, respectively. Passed through scale_fill_gradient. Default: c(0,1e6), |
hm_legend_breaks |
Numerical vector. Breaks shown in the legend of the heatmap. Passed through scale_fill_gradient. Default: seq(0,1e6, 1e5), |
hm_legend_title |
Character of length 1 or NULL. Title of the legend of the heatmap. Default: "Counts" |
hm_legend_size |
Numerical of length 2. Height and width (in mm) of the legend of the heatmap, respectively. Passed through scale_fill_gradient. Default: c(40, 7), |
bar_pos |
Character of length 1. Either "fill" or "stack", Position of the columns, passed through the argument position in |
bar_xlab |
Character of length 1 or NULL. Title of the X axis of the barplot. Default: NULL |
bar_colors |
Character of length 2. Colors for the antisense and sense bars in the barplot. Default: c("green", "tomato") |
combine_plots |
Logical of length 1. If TRUE (the default), it combines the heatmap and the barplot using |
plot_title |
Character of length 1 or NULL. Title of the plot. Only if combine_plots = T. Default: NULL. |
A patchwork combination of a ggplot-based heatmap and a ggplot-based barplot (or a list with the individual plots).
amitjavilaventura
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