summarize_data: Summarize Data by Groups

In Kifidi: Summary Table and Means Plots

Summarize Data by Groups

Description

This function summarizes the provided data column by one or two grouping variables. It calculates the mean, standard deviation, sample size, minimum, maximum, median, and standard error.

Usage

summarize_data(column_data, group_var1, group_var2 = NULL)

Arguments

column_data	A numeric vector containing the data to be summarized.
group_var1	A factor or vector to group the data by.
group_var2	An optional second factor or vector to group the data by.

Details

If only one grouping variable is provided, the function will summarize the data by that variable. If two grouping variables are provided, it will summarize the data by both variables.

Value

A data frame with the following columns:

Group1

The first grouping variable (from group_var1).

Group2

The second grouping variable (from group_var2), if provided.

Mean

The mean of the column_data for each group.

SD

The standard deviation of the column_data for each group.

N

The sample size for each group.

Min

The minimum value of the column_data for each group.

Max

The maximum value of the column_data for each group.

Median

The median value of the column_data for each group.

SE

The standard error of the mean for each group.

Output

A data frame with the above columns.

Note

The grouping variables and the data column can be of different lengths.

Author(s)

Oswald Omuron

References

No references available.

See Also

aggregate, summarize_data

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)

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