lifelogr (version 0.1.0)

correlation: Correlation between each variable vs each measure

Description

Prints and returns Pearson's correlation between each variable and each measure listed. Can pass in a dataset from create_dataset, or function calls create_dataset itself.

Usage

correlation(dataset = NA, person, variables, measures, time_var = NA)

Arguments

dataset

dataset from create_dataset that contains all variables and measures of interest

person

an instantiated Person object

variables

list of variables in person of interest, with structure list(source1 = c(var1, var2), source2 = c(var3, var4)) where source is a source of data as defined in a Person object, and var1 and var2 are variables from source1, while var3 and var4 are variables from source2

measures

list of measures in person of interest, with structure list(source1 = c(var1, var2), source2 = c(var3, var4)) where source is a source of data as defined in a Person object, and var1 and var2 are variables from source1, while var3 and var4 are variables from source2

time_var

the time variable that variables and measures are observed in (time, date, or datetime) - only needed if dataset is not passed in

Value

Pearson's correlation between each variable and each measure

Examples

data(EX)

dataset <- create_dataset(person = EX, 
            all_variables = list("fitbit_daily" = c("sleepDuration", 
                                                    "steps")),
            time_var = c("date"))
                      
correlation_df <- correlation(dataset, person = EX, 
                            variables = list("fitbit_daily" = 
                                                 c("sleepDuration")),
                            measures = list("fitbit_daily" = c("steps")),
                           time_var = "date")