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This dataset lists all the variables that are present in chmsflow.

Value

variables

a data frame

Details

See the below link for more details about how the worksheet is structured https://big-life-lab.github.io/chmsflow/articles/variables_sheet.html

Examples

data(variables)
str(variables)
#> 'data.frame':	213 obs. of  11 variables:
#>  $ variable     : chr  "acemed" "adj_hh_inc" "agegroup2079" "agegroup4" ...
#>  $ role         : chr  "" "" "" "" ...
#>  $ label        : chr  "ACE inhibitors" "Adjusted household income" "Age " "Age " ...
#>  $ labelLong    : chr  "Taking ACE inhibitors" "Adjusted total household income based on household size" "Converted age (2 groups)" "Converted age (4 groups)" ...
#>  $ section      : chr  "Health status" "Socioeconomic" "Sociodemographics" "Sociodemographics" ...
#>  $ subject      : chr  "Medication" "Income" "Age" "Age" ...
#>  $ variableType : chr  "Categorical" "Continuous" "Categorical" "Categorical" ...
#>  $ units        : chr  "N/A" "$" "N/A" "N/A" ...
#>  $ databaseStart: chr  "cycle1_meds, cycle2_meds, cycle3_meds, cycle4_meds, cycle5_meds, cycle6_meds" "cycle1, cycle2, cycle3, cycle4, cycle5, cycle6" "cycle1, cycle2, cycle3, cycle4, cycle5, cycle6" "cycle1, cycle2, cycle3, cycle4, cycle5, cycle6" ...
#>  $ variableStart: chr  "DerivedVar::[atc_101a, atc_102a, atc_103a, atc_104a, atc_105a, atc_106a, atc_107a, atc_108a, atc_109a, atc_110a"| __truncated__ "DerivedVar::[thi_01, dhhdsz]" "[clc_age]" "[clc_age]" ...
#>  $ description  : chr  "" "" "" "" ...