ssm_score: Calculate SSM parameters by row and add results as new...

In circumplex: Analysis and Visualization of Circular Data

Calculate SSM parameters by row and add results as new columns

Description

Calculate the SSM parameters for each row of a data frame and add the results as additional columns. This can be useful when the SSM is being used for the description or visualization of individual data points rather than for statistical inference on groups of data points.

Usage

ssm_score(data, scales, angles = octants(), append = TRUE, ...)

Arguments

data	Required. A data frame containing at least circumplex scales.
scales	Required. The variable names or column numbers for the variables in .data that contain circumplex scales to be analyzed.
angles	Required. A numeric vector containing the angular displacement of each circumplex scale included in scales (in degrees).
append	Optional. A logical indicating whether to append the output to data or simply return the output (default = "TRUE").
...	Optional. Additional parameters to pass to ssm_parameters(), such as prefix and suffix.

Value

A data frame containing .data plus six additional columns containing the SSM parameters (calculated rowwise).

See Also

Other ssm functions: ssm_analyze(), ssm_parameters(), ssm_table()

Other analysis functions: ssm_analyze(), ssm_parameters()

Examples

data("aw2009")
ssm_score(
  aw2009,
  scales = c("PA", "BC", "DE", "FG", "HI", "JK", "LM", "NO")
)

circumplex documentation built on Oct. 28, 2024, 9:06 a.m.