plot_means: Plot Means

In Kifidi: Summary Table and Means Plots

Plot Means

Description

This function plots the means of a summary data frame with optional error bars.

Usage

plot_means(summary_df,
           main_title = "Mean Values by Group",
           ylab = NULL,
           xlab = NULL,
           bar_color = "skyblue",
           error_bar_color = "red",
           bar_width = 0.7,
           error_bar_length = 0.1,
           axes = TRUE,
           space = NULL,
           density = NULL,
           angle = 45,
           col = NULL,
           names_arg = NULL,
           xlab_custom = NULL,
           ylab_custom = NULL,
           ann = TRUE,
           xlim = NULL,
           ylim = NULL,
           xaxt = "s",
           las = NULL)

Arguments

summary_df	A summary data frame containing the means and standard errors for each group.
main_title	Main title for the plot. Default is "Mean Values by Group".
ylab	Label for the y-axis.
xlab	Label for the x-axis.
bar_color	Color for the bars. Default is "skyblue".
error_bar_color	Color for the error bars. Default is "red".
bar_width	Width of the bars. Default is 0.7.
error_bar_length	Length of the error bars. Default is 0.1.
axes	Logical value indicating whether to draw axes on the plot. Default is TRUE.
space	Spacing between bars.
density	Density of shading lines.
angle	Angle of shading lines.
col	Color of shading lines.
names_arg	Vector of names for the x-axis.
xlab_custom	Custom label for the x-axis. Default is "Groups".
ylab_custom	Custom label for the y-axis. Default is "Mean".
ann	Logical value indicating whether to draw annotations on the plot. Default is TRUE.
xlim	Limits for the x-axis.
ylim	Limits for the y-axis.
xaxt	Type of x-axis labeling.
las	Style of axis labels.

Details

If the summary data frame contains two grouping variables (Group1 and Group2), they will be combined to form the x-axis labels.

Value

This function produces a bar plot with optional error bars.

Note

Additional notes can be added here.

Author(s)

Oswald Omuron

References

Please refer to the documentation of the barplot and arrows functions in the base R package.

See Also

The summary function for creating summary data frames.

Examples

  # Example data
  example_data <- c(
    445, 372, 284, 247, 328, 98.8, 108.7, 100.8, 123.6, 129.9, 133.3,
    130.1, 123.1, 186.6, 215, 19.4, 19.3, 27.8, 26, 22, 30.9, 19.8,
    16.5, 20.2, 31, 21.1, 16.5, 19.7, 18.9, 27, 161.8, 117, 94.6, 97.5,
    142.7, 109.9, 118.3, 111.4, 96.5, 109, 114.1, 114.9, 101.2, 112.7,
    111.1, 194.8, 169.9, 159.1, 100.8, 130.8, 93.6, 105.7, 178.4, 203,
    172.2, 127.3, 128.3, 110.9, 124.1, 179.1, 293, 197.5, 139.1, 98.1,
    84.6, 81.4, 87.2, 71.1, 70.3, 120.4, 194.5, 167.5, 121, 86.5, 81.7
  )

  example_group1 <- c(
    rep("Palm", 15), rep("Papyrus", 10), rep("Typha", 15),
    rep("Eucalyptus", 15), rep("Rice farm", 20)
  )

  example_group2 <- rep(c(50, 40, 30, 20, 10), 15)

  # Create dataframe
  example_df <- data.frame(
    Vegetation_types = example_group1,
    Depth_revised = example_group2,
    EC_uS_cm = example_data
  )

  # Summarize by one grouping variable
  summary_one_group <- summarize_data(
    example_df$EC_uS_cm,
    example_df$Vegetation_types
  )
  print(summary_one_group)

  # Summarize by two grouping variables
  summary_two_groups <- summarize_data(
    example_df$EC_uS_cm,
    example_df$Vegetation_types,
    example_df$Depth_revised
  )
  print(summary_two_groups)

  # Plotting the summarized data
  plot_means(summary_two_groups, ylim=c(0,350), las=2,
    space = c(0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0)
  )

Kifidi documentation built on Oct. 11, 2024, 9:08 a.m.