persistence: Calculate Persistence

In christian-million/researchR:

Description

The persistence rate is defined as the percentage of units (ID's) in a given period that are also found in the subsequent period. This function will either:

1) Calculate the persitence rate for each period

2) Create an indicator variable on the original dataframe that identifies whether the ID persisted (1) or not (0)

Usage

persistence(df, id, rank, period, ..., overall = TRUE,
  calculate = TRUE)

Arguments

df	A dataframe
id	Unique ID variable
rank	Numeric or Ordered Factor variable that indicates the sequence of periods
period	Optional pretty name of the rank variable
...	Optional grouping variables
overall	Logical variable to include overall persistence rate
calculate	Logical variable to indicate calculating persistence rates or indicator variable

Details

If calculate==TRUE persistence() removes the last period from the output,

Value

Returns either a summarised dataframe or the original dataframe with an extra column.

Examples

dataFrame <- data.frame(ID = c("A", "B", "C", "A", "B", "D", "A", "D"),
                       RANK = c(1, 1, 1, 2, 2, 2, 3, 3),
                     PERIOD = c("P1", "P1", "P1", "P2", "P2", "P2", "P3", "P3"),
                     GROUP = c("G1", "G2", "G1", "G1", "G2", "G3", "G1", "G3"),
                     stringsAsFactors = FALSE)
# Calculate == TRUE
persistence(dataFrame, ID, RANK, PERIOD)

# Calculate == FALSE
dataFrame <- persistence(dataFrame, ID, RANK, PERIOD, calculate = FALSE)

christian-million/researchR documentation built on May 15, 2019, 12:45 p.m.