plotgg_stacked_columns: Plot columns as stacked bars
In surh/HMVAR: Human Microbiome Variant Analysis in R

Description Usage Arguments Value Examples

Takes a data frame or tibble with one row per observation and multiple variables (columns) per observation. It then plots the selected variables as stacked bars per observation, possibly faceting the plot.

plotgg_stacked_columns(
  dat,
  x,
  columns = NULL,
  facet_formula = NULL,
  gather_key = "key",
  gather_value = "value",
  custom_theme = ggplot2::theme(panel.background = ggplot2::element_blank(), panel.grid
    = ggplot2::element_blank(), axis.text = ggplot2::element_text(color = "black"),
    axis.title = ggplot2::element_text(color = "black", face = "bold"),
    axis.line.x.bottom = ggplot2::element_line(), axis.line.y.left =
    ggplot2::element_line())
)

`dat`	A data frame or tibble with one row per observation and multiple variables (i.e. columns) per observations.
`x`	The name of the column to be used as an observation name. It will be used to as a label in the x axis of the plot.
`columns`	A character vector containing the names of the columns to stack. If NULL, all columns except for the column indicated by 'x' and the columns in 'facet_formula' will be included.
`facet_formula`	A formula to be used by facet_grid. It will split the stacked bars into panels.
`gather_key`	The key name to be used by gather. It will indicate the name for the gathered columns. The text itself will be used as the legend title.
`gather_value`	The value name to be used by gather. It will indicate the sum of values in the stacked bars. The text itself will be used as the y-axis title.
`custom_theme`	The result of a call to theme. It allows for control over the plot format

A ggplot2 plot.

d <- tibble::tibble(sample = letters[1:4],
                    g1 = 4:1,
                    g2 = 1:4,
                    group = rep(LETTERS[1:2], 2))
plotgg_stacked_columns(d,
                       x = 'sample',
                       facet_formula = ~ group)