correlation: Correlation between each variable vs each measure

In lifelogr: Life Logging

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

Note

'correlation' uses "pairwise.complete.obs", which only computes the correlation between all complete pairs of observations.

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")
       
      

Example output

                  steps
sleepDuration 0.1863556

lifelogr documentation built on May 2, 2019, 6:11 a.m.