vector_magnitude: Vector magnitude of multi-channel signal.

In MIMSunit: Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)

Vector magnitude of multi-channel signal.

Description

vector_magnitude computes the vector magnitude value for each sample (row) of a multi-channel signal.

Usage

vector_magnitude(df, axes = NULL)

Arguments

df	dataframe. multi-channel signal, with the first column being the timestamp in POSXct format.
axes	numerical vector. Specify the column indices for each axis. When this value is NULL, the function assumes the axes are starting from column 2 to the end. Default is NULL.

Details

This function takes a dataframe of a multi-channel signal as input, and then computes the 2-norm (vector magnitude) for each row and returns a transformed dataframe with two columns.

Value

dataframe. The transformed dataframe will have the same number of rows as input dataframe but only two columns, with the first being timestamps and second being the vector magnitude values.

How is it used in MIMS-unit algorithm?

This function is not used in the released version of MIMS-unit algorithm, but was used to compare the alternative sum_up method when combining MIMS-unit values on each axis into a single value.

See Also

sum_up

Other transformation functions: compute_orientation(), sum_up()

Examples

  # Use the first 10 rows of the sample data as an example
  df = sample_raw_accel_data[1:10,]
  df

  # By default, the function will assume columns starting from 2 to be axial
  # values.
  vector_magnitude(df)

  # Or, you may specify the column indices yourself
  vector_magnitude(df, axes=c(2,3,4))

  # Or, if you only want to consider x and y axes
  vector_magnitude(df, axes=c(2,3))

  # Or, just return the chosen column
  vector_magnitude(df, axes=c(2))

MIMSunit documentation built on June 21, 2022, 5:06 p.m.