other_day: Transform Diary Data and Create a Next or Previous Day...

In kthorstmann/padis: Functions For The Analysis Of Wake-Forest Data

Description

The function follows following rule: First, it treats each id separately. It then looks in the column days_in for each numeric value x that has a preceding or follwing lower or higher value y with a difference of x - y = 1 (e.g. if there is a 4, it searches for a 3 or a 5, depending on the setting of next_day). If it finds a preceding value y that is one smaller than the initial value x, it returns corresponding row-wise values from the columns variables and stores them as in a new variable.

Usage

other_day(data, id = "PAR.ID", days_in = "Day.DaysIn",
  variables = c("Day.Wellbeing", "Day.Closeness"), prefix = NULL,
  next_day = FALSE)

Arguments

data	The data frame that contains the variable
id	The ID variable of the participants
days_in	The variable identifying the day of each measurement. Must be numeric
variables	The variables that should be transformed to a next day variable
prefix	The prefix that is added to the names of the transformed variables. Default is NULL, which will set the prefix accoring to the next_day argument
next_day	Logical. If TRUE, the next day is returned. If FALSE, the previous day is returned

Value

Returns a data frame with the original variables as well as the transformed variables

Examples

data <- next_day_data
previous_day <- other_day(data)
next_day <- other_day(data, next_day = TRUE)

kthorstmann/padis documentation built on May 24, 2019, 5:01 a.m.