plot - Displaying minor logarithmic ticks in x-axis in R

Plot - Displaying minor logarithmic ticks in x-axis in R

To display minor logarithmic ticks on the x-axis in R, you can use the minor.ticks argument within the log parameter of the plot function or customize the ticks using the minor.tick argument in the axis function. Here's how you can achieve both methods:

Using plot Function with minor.ticks

# Example data x <- 10^seq(-2, 2, by = 0.1) y <- sin(x) # Plot with minor logarithmic ticks plot(x, y, log = "x", axes = FALSE, type = "l") axis(1, at = 10^seq(-2, 2, by = 0.5), labels = TRUE, log = "x", minor.ticks = TRUE) axis(2, log = FALSE)

In this example:

  • log = "x" specifies a logarithmic scale for the x-axis.
  • axes = FALSE prevents the default x and y axes from being plotted.
  • type = "l" specifies a line plot.
  • axis(1, ...) customizes the x-axis: at specifies the major tick marks, and minor.ticks = TRUE adds minor ticks.

Using axis Function for More Control

# Example data x <- 10^seq(-2, 2, by = 0.1) y <- sin(x) # Plot with custom minor ticks plot(x, y, log = "x", axes = FALSE, type = "l") axis(1, at = 10^seq(-2, 2, by = 0.5), labels = TRUE, log = "x") axis(1, at = rep(10^seq(-2, 2, by = 0.1), each = 9), labels = FALSE, tcl = -0.3) axis(2, log = FALSE)

In this example:

  • axis(1, ...) is used twice:
    • First, it sets major tick marks using at.
    • Second, it sets minor tick marks using at with finer intervals and tcl = -0.3 to make them shorter.

Explanation:

  • log = "x": Sets a logarithmic scale for the x-axis.
  • at: Specifies where major and minor tick marks should be placed on the axis.
  • minor.ticks = TRUE: Enables minor ticks in the plot function.
  • tcl = -0.3: Controls the length of tick marks, where negative values make them shorter.

These approaches provide flexibility in adjusting the display of minor logarithmic ticks on the x-axis in R plots, allowing you to tailor the visualization according to your specific requirements. Adjust the parameters based on your data range and plot preferences.

Examples

  1. How to plot a logarithmic scale in R with minor ticks?

    library(ggplot2) p <- ggplot(data, aes(x = x, y = y)) + geom_point() + scale_x_log10(minor_breaks = log10(seq(0.1, 10, by = 0.1)))

    Description: This code snippet uses ggplot2 to create a scatter plot with a logarithmic x-axis. The scale_x_log10 function is used to specify the minor ticks using minor_breaks.

  2. R plot with minor ticks on a log scale example

    plot(x, y, log = "x", axes = FALSE) axis(1, at = 10^(-1:5), labels = TRUE) minor.tick(nx = 10)

    Description: This example demonstrates plotting data x against y on a logarithmic x-axis (log = "x"). It uses axis to set major ticks and minor.tick from the Hmisc package for minor ticks.

  3. How to add minor ticks to a log-log plot in R?

    plot(x, y, log = "xy", axes = FALSE) axis(1, at = 10^(-1:5), labels = TRUE) axis(2, at = 10^(-1:5), labels = TRUE) minor.tick(nx = 10, ny = 10)

    Description: This code plots x and y on a log-log scale (log = "xy"), sets major ticks with axis, and adds minor ticks using minor.tick from Hmisc.

  4. R ggplot logarithmic scale with minor ticks and labels

    library(ggplot2) p <- ggplot(data, aes(x = x, y = y)) + geom_point() + scale_x_log10(breaks = 10^(-1:5), minor_breaks = 10^(seq(-1, 5, by = 0.1)))

    Description: This ggplot2 code snippet creates a scatter plot with a logarithmic x-axis. scale_x_log10 specifies both major (breaks) and minor (minor_breaks) ticks on the x-axis.

  5. How to customize minor ticks on a logarithmic plot in R base graphics?

    plot(x, y, log = "x", axes = FALSE) axis(1, at = 10^(-1:5), labels = TRUE) axis(1, at = 10^(seq(-1, 5, by = 0.1)), labels = FALSE, tcl = 0.2)

    Description: This example uses base R graphics to plot x against y on a logarithmic x-axis (log = "x"). It customizes minor ticks with axis, setting tick positions and lengths (tcl).

  6. Adding minor ticks to a semilog plot in R

    plot(x, y, log = "y", axes = FALSE) axis(2, at = 10^(-1:5), labels = TRUE) minor.tick(nx = 10)

    Description: This code snippet plots x and y on a semilogarithmic scale (log = "y"). It uses axis to define major ticks on the y-axis and minor.tick from Hmisc for minor ticks.

  7. R plot with minor logarithmic ticks on both axes

    plot(x, y, log = "xy", axes = FALSE) axis(1, at = 10^(-1:5), labels = TRUE) axis(2, at = 10^(-1:5), labels = TRUE) minor.tick(nx = 10, ny = 10)

    Description: This example plots x against y on a log-log scale (log = "xy"). It sets major ticks with axis and adds minor ticks using minor.tick from the Hmisc package.

  8. How to control minor ticks in a logarithmic plot using R?

    plot(x, y, log = "xy", axes = FALSE) axis(1, at = 10^(-1:5), labels = TRUE) axis(2, at = 10^(-1:5), labels = TRUE) minor.tick(nx = 5, ny = 5)

    Description: This code snippet plots x and y on a logarithmic scale (log = "xy"), setting major ticks with axis and customizing minor ticks using minor.tick.

  9. R ggplot2 minor ticks in logarithmic scale example

    library(ggplot2) p <- ggplot(data, aes(x = x, y = y)) + geom_point() + scale_x_log10(minor_breaks = 10^(seq(-1, 5, by = 0.1)))

    Description: This ggplot2 code creates a scatter plot with a logarithmic x-axis. scale_x_log10 specifies minor ticks (minor_breaks) using logarithmic sequence.

  10. How to add minor logarithmic ticks in R's lattice package?

    library(lattice) xyplot(y ~ x, data = data, scales = list(x = list(log = 10, alternation = c(1, 1, 5))))

    Description: This code snippet uses xyplot from the lattice package to plot y against x with a logarithmic x-axis (log = 10). It customizes minor ticks with alternation.

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