lineplots function

Fast way to create line plots

• 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 .

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'.

Returns

An object of class gg, ggplot.

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)

See Also

plot_bars() and plot_factbars()

Author(s)

Tiago Olivoto tiagoolivoto@gmail.com