l_anova: ANOVA test to assess impact of all variables (together) upon...

In lifelogr: Life Logging

Description

Prints and returns ANOVA test on all variables and interactions for each measure. Can pass in a dataset from create_dataset, or function calls create_dataset itself.

Usage

l_anova(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

list of ANOVAs for each measure

Examples

data(EX)

dataset <- create_dataset(person = EX,
                          all_variables = list("util" = c("day_of_week"), 
                     "fitbit_daily" = c("sleepDuration", 
                                        "steps",
                                        "restingHeartRate")),
                                         time_var = c("date"))
all_anovas <- l_anova(dataset, person = EX, variables = list("util" = c("day_of_week"), 
                                               "fitbit_daily" = c("sleepDuration",
                                               "steps")),
                      measures = list("fitbit_daily" = c("restingHeartRate")))
       

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