MHQoL (version 0.14.0)

mhqol_states_to_scores: Provides the scores of the MHQoL based on the textual input (as described in the manual)

Description

This function provides the scores of the MHQoL based on textual input as described in the manual of the MHQoL.

Usage

mhqol_states_to_scores(
  states,
  ignore_invalid = FALSE,
  ignore_NA = FALSE,
  retain_old_variables = TRUE)

Value

A dataframe containing the new scores based on the MHQoL manual.

Arguments

states

A dataframe, character vector or list containing the states of the MHQoL. Must contain the following states: SI (Self-Image), IN (INdependence), MO (MOod), RE (RElationships), DA (Daily Activities), PH (Physical Health), FU (FUture).

ignore_invalid

If TRUE, the function will ignore missing states and continue processing. If FALSE, the function will stop and throw an error.

ignore_NA

If TRUE, the function will ignore NA values in the input data. If FALSE, the function will stop and throw an error.

retain_old_variables

If TRUE, the function will return the original states along with the new scores. If FALSE, the function will only return the new scores.

Examples

# Example usage of the mhqol_scores function
# Get the MHQoL scores based on a character vector and do not retain old values
mhqol_states_to_scores(
  states = c(
    SI = "I think very positively about myself",
    IN = "I am very satisfied with my level of independence",
    MO = "I do not feel anxious, gloomy, or depressed",
    RE = "I am very satisfied with my relationships",
    DA = "I am very satisfied with my daily activities",
    PH = "I have no physical health problems",
    FU = "I am very optimistic about my future"
    ),
  retain_old_variables = FALSE
)

# Get the MHQoL scores based on a DataFrame and retain old values
# Define a sample DataFrame before using it
df <- data.frame(
  SI = "I think positively about myself",
  IN = "I am satisfied with my level of independence",
  MO = "I feel a little anxious, gloomy, or depressed",
  RE = "I am satisfied with my relationships",
  DA = "I am satisfied with my daily activities",
  PH = "I have some physical health problems",
  FU = "I am optimistic about my future"
)

# Get the MHQoL scores based on a DataFrame
mhqol_states_to_scores(states = df)


# Get the MHQoL scores based on a DataFrame and ignore missing states
mhqol_states_to_scores(states = df, ignore_invalid = TRUE)