lineplots: Fast way to create line plots

In metan: Multi Environment Trials Analysis

Fast way to create line plots

Description

• plot_lines() Creates a line plot based on one quantitative factor and one numeric variable. It can be used to show the results of a one-way trial with quantitative treatments.

• plot_factlines() Creates a line plot based on: one categorical and one quantitative factor and one numeric variable. It can be used to show the results of a two-way trial with qualitative-quantitative treatment structure.

Usage

plot_lines(
  .data,
  x,
  y,
  fit,
  level = 0.95,
  confidence = TRUE,
  xlab = NULL,
  ylab = NULL,
  n.dodge = 1,
  check.overlap = FALSE,
  col = "red",
  alpha = 0.2,
  size.shape = 1.5,
  size.line = 1,
  size.text = 12,
  fontfam = "sans",
  plot_theme = theme_metan()
)

plot_factlines(
  .data,
  x,
  y,
  group,
  fit,
  level = 0.95,
  confidence = TRUE,
  xlab = NULL,
  ylab = NULL,
  n.dodge = 1,
  check.overlap = FALSE,
  legend.position = "bottom",
  grid = FALSE,
  scales = "free",
  col = TRUE,
  alpha = 0.2,
  size.shape = 1.5,
  size.line = 1,
  size.text = 12,
  fontfam = "sans",
  plot_theme = theme_metan()
)

Arguments

.data	The data set
x, y	The variables to be mapped to the x and y axes, respectively.
fit	The polynomial degree to use. It must be between 1 (linear fit) to 4 (fourth-order polynomial regression.). In plot_factlines(), if fit is a lenth 1 vector, i.e., 1, the fitted curves of all levels in group will be fitted with polynomial degree fit. To use a different polynomial degree for each level in group, use a numeric vector with the same length of the variable in group.
level	The fonfidence level. Defaults to 0.05.
confidence	Display confidence interval around smooth? (TRUE by default)
xlab, ylab	The labels of the axes x and y, respectively. Defaults to NULL.
n.dodge	The number of rows that should be used to render the x labels. This is useful for displaying labels that would otherwise overlap.
check.overlap	Silently remove overlapping labels, (recursively) prioritizing the first, last, and middle labels.
col	The colour to be used in the line plot and points.
alpha	The alpha for the color in confidence band
size.shape	The size for the shape in plot
size.line	The size for the line in the plot
size.text	The size of the text
fontfam	The family of the font text.
plot_theme	The graphical theme of the plot. Default is plot_theme = theme_metan(). For more details, see ggplot2::theme().
group	The grouping variable. Valid for plot_factlines() only.
legend.position	Valid argument for plot_factlines. The position of the legend. Defaults to 'bottom'.
grid	Valid argument for plot_factlines. Logical argument. If TRUE then a grid will be created.
scales	Valid argument for plot_factlines. If grid = TRUE scales controls how the scales are in the plot. Possible values are 'free' (default), 'fixed', 'free_x' or 'free_y'.

Value

An object of class gg, ggplot.

Author(s)

Tiago Olivoto [e-mail]

See Also

plot_bars() and plot_factbars()

Examples

library(metan)
# One-way line plot
df1 <- data.frame(group = "A",
                  x = c(0, 100, 200, 300, 400),
                  y = c(3.2, 3.3, 4.0, 3.8, 3.4))
plot_lines(df1, x, y, fit = 2)

# Two-way line plot
df2 <- data.frame(group = "B",
                  x = c(0, 100, 200, 300, 400),
                  y = c(3.2, 3.3, 3.7, 3.9, 4.1))
facts <- rbind(df1, df2)

p1 <- plot_factlines(facts, x, y, group = group, fit = 1)
p2 <- plot_factlines(facts,
                     x = x,
                     y = y,
                     group = group,
                     fit = c(2, 1),
                     confidence = FALSE)
arrange_ggplot(p1, p2)

metan documentation built on March 7, 2023, 5:34 p.m.