get_missing_capl_variables: Add required CAPL-2 variables to a data frame of raw data if...

In barnzilla/capl: Compute and Visualize CAPL-2 Scores and Interpretations

Add required CAPL-2 variables to a data frame of raw data if they are missing.

Description

This function adds required CAPL-2 variables (see Details for a full list) to a data frame of raw data if they are missing. When missing variables are added, the values for a given missing variable are set to NA. This function is called within get_capl() so that CAPL-2 score and interpretation computations will run without errors in the presence of missing variables.

Usage

get_missing_capl_variables(raw_data = NULL)

Arguments

raw_data

a data frame of raw CAPL-2 data.

Details

The required CAPL-2 variables include:

• age

• gender

• pacer_lap_distance

• pacer_laps

• plank_time

• camsa_skill_score1

• camsa_time1

• camsa_skill_score2

• camsa_time2

• steps1

• time_on1

• time_off1

• non_wear_time1

• steps2

• time_on2

• time_off2

• non_wear_time2

• steps3

• time_on3

• time_off3

• non_wear_time3

• steps4

• time_on4

• time_off4

• non_wear_time4

• steps5

• time_on5

• time_off5

• non_wear_time5

• steps6

• time_on6

• time_off6

• non_wear_time6

• steps7

• time_on7

• time_off7

• non_wear_time7

• self_report_pa

• csappa1

• csappa2

• csappa3

• csappa4

• csappa5

• csappa6

• why_active1

• why_active2

• why_active3

• feelings_about_pa1

• feelings_about_pa2

• feelings_about_pa3

• pa_guideline

• crf_means

• ms_means

• sports_skill

• pa_is

• pa_is_also

• improve

• increase

• when_cooling_down

• heart_rate

Examining the structure (see str()) of some CAPL-2 demo data (see get_capl_demo_data()) provides additional information about these variables.

Value

returns a merged data frame of raw data and missing required CAPL-2 variables (values are set to NA).

Examples

raw_data <- get_missing_capl_variables(raw_data)

barnzilla/capl documentation built on April 2, 2022, 8:50 a.m.