Line Plot — LinePlot • plotthis

Visualizing the change of a numeric value over the progression of a categorical variable.

Usage

LinePlot(
  data,
  x,
  y = NULL,
  group_by = NULL,
  group_by_sep = "_",
  split_by = NULL,
  split_by_sep = "_",
  fill_point_by_x_if_no_group = TRUE,
  color_line_by_x_if_no_group = TRUE,
  add_bg = FALSE,
  bg_palette = "stripe",
  bg_palcolor = NULL,
  bg_alpha = 0.2,
  add_errorbars = FALSE,
  errorbar_width = 0.1,
  errorbar_alpha = 1,
  errorbar_color = "grey30",
  errorbar_linewidth = 0.75,
  errorbar_min = NULL,
  errorbar_max = NULL,
  errorbar_sd = NULL,
  pt_alpha = 1,
  pt_size = 5,
  line_type = "solid",
  line_width = 1,
  line_alpha = 0.8,
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  x_text_angle = 0,
  aspect.ratio = 1,
  legend.position = "right",
  legend.direction = "vertical",
  facet_by = NULL,
  facet_scales = "fixed",
  combine = TRUE,
  nrow = NULL,
  ncol = NULL,
  byrow = TRUE,
  facet_nrow = NULL,
  facet_ncol = NULL,
  facet_byrow = TRUE,
  facet_args = list(),
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  keep_empty = FALSE,
  seed = 8525,
  ...
)

Arguments

data: A data frame.
x: A character string specifying the column name of the data frame to plot for the x-axis.
y: A character string specifying the column name of the data frame to plot for the y-axis.
group_by: Columns to group the data for plotting For those plotting functions that do not support multiple groups, They will be concatenated into one column, using group_by_sep as the separator
group_by_sep: A character string specifying the separator to use when concatenating multiple columns.
split_by: The column(s) to split data by and plot separately.
split_by_sep: The separator for multiple split_by columns. See split_by
fill_point_by_x_if_no_group: A logical value indicating whether to color the points by the x-axis values when there is no group_by column.
color_line_by_x_if_no_group: A logical value indicating whether to color the lines by the x-axis values
add_bg: A logical value indicating whether to add a background to the plot.
bg_palette: The palette to use for the background.
bg_palcolor: The color to use for the background.
bg_alpha: The alpha value of the background.
add_errorbars: A logical value indicating whether to add error bars to the plot.
errorbar_width: The width of the error bars.
errorbar_alpha: The alpha value of the error bars.
errorbar_color: The color to use for the error bars. If "line", the error bars will be colored the same as the lines.
errorbar_linewidth: The line width of the error bars.
errorbar_min: The column in the data frame containing the lower bound of the error bars.
errorbar_max: The column in the data frame containing the upper bound of the error bars.
errorbar_sd: The column in the data frame containing the standard deviation of the error bars. If errorbar_min and errorbar_max are not provided, this column will be used to calculate the error bars. errorbar_min = y - errorbar_sd, errorbar_max = y + errorbar_sd. If errorbar_min and errorbar_max are provided, this column will be ignored.
pt_alpha: The alpha value of the points.
pt_size: The size of the points.
line_type: The type of line to draw.
line_width: The width of the line.
line_alpha: The alpha value of the line.
theme: A character string or a theme class (i.e. ggplot2::theme_classic) specifying the theme to use. Default is "theme_this".
theme_args: A list of arguments to pass to the theme function.
palette: A character string specifying the palette to use.
palcolor: A character string specifying the color to use in the palette.
x_text_angle: A numeric value specifying the angle of the x-axis text.
aspect.ratio: A numeric value specifying the aspect ratio of the plot.
legend.position: A character string specifying the position of the legend. if waiver(), for single groups, the legend will be "none", otherwise "right".
legend.direction: A character string specifying the direction of the legend.
facet_by: A character string specifying the column name of the data frame to facet the plot. Otherwise, the data will be split by split_by and generate multiple plots and combine them into one using patchwork::wrap_plots
facet_scales: Whether to scale the axes of facets. Default is "fixed" Other options are "free", "free_x", "free_y". See ggplot2::facet_wrap
combine: Whether to combine the plots into one when facet is FALSE. Default is TRUE.
nrow: A numeric value specifying the number of rows in the facet.
ncol: A numeric value specifying the number of columns in the facet.
byrow: A logical value indicating whether to fill the plots by row.
facet_nrow: A numeric value specifying the number of rows in the facet. When facet_by is a single column and facet_wrap is used.
facet_ncol: A numeric value specifying the number of columns in the facet. When facet_by is a single column and facet_wrap is used.
facet_byrow: A logical value indicating whether to fill the plots by row. Default is TRUE.
facet_args: A list of arguments to pass to ggplot2::facet_wrap() or ggplot2::facet_grid(). when there is no group_by column.
title: A character string specifying the title of the plot. A function can be used to generate the title based on the default title. This is useful when split_by is used and the title needs to be dynamic.
subtitle: A character string specifying the subtitle of the plot.
xlab: A character string specifying the x-axis label.
ylab: A character string specifying the y-axis label.
keep_empty: A logical value indicating whether to keep empty groups. If FALSE, empty groups will be removed.
seed: The random seed to use. Default is 8525.
...: Additional arguments.

Value

A ggplot object or wrap_plots object or a list of ggplot objects

Examples

data <- data.frame(
   x = factor(c("A", "B", "C", "D", "A", "B", "C", "D"), levels = LETTERS[1:6]),
   y = c(10, 8, 16, 4, 6, 12, 14, 2),
   group = c("G1", "G1", "G1", "G1", "G2", "G2", "G2", "G2"),
   facet = c("F1", "F1", "F2", "F2", "F3", "F3", "F4", "F4")
)

LinePlot(data, x = "x", y = "y")

LinePlot(data, x = "x", y = "y", group_by = "group")

LinePlot(data, x = "x", y = "y", group_by = "group", add_bg = TRUE)

LinePlot(data, x = "x", y = "y", group_by = "group", facet_by = "facet")

LinePlot(data, x = "x", y = "y", group_by = "group", split_by = "facet")