AggregateR (version 0.1.1)

Aggregate: Aggregate numeric, Date and categorical variables

Description

The Aggregate function (not to be confounded with aggregate) prepares a data frame or data table for merging by computing the sum, mean and variance of all continuous (integer and numeric) variables by a given variable. For all categorical variabes (character and factor), it creates dummies and subsequently computes the sum and the mode by a given variable. For all Date variables, it computes the recency and duration by a given variable with repsect the an end date variable. For computational speed, all the calculations are done with data.table. This functions aims at maximum information extraction with a minimum amount of code.

Usage

Aggregate(
  x,
  by,
  end_ind = Sys.Date(),
  format = "%Y-%m-%d",
  tibble = FALSE,
  verbose = TRUE,
  object = NULL,
  p = "all"
)

Arguments

x

A data frame or data table. Categorical variables have to be of type character or factor and continuous variables have to be of type integer or numeric. Date variables should be in the Date format.

by

A character string specifying the variable on which to aggregate the results. Note that 'by' should be a variable of the table 'x'.

end_ind

A Date object, or something which can be coerced by as.Date(origin, ...) to such an object. If not specified, we take the Sys.Date() as end date.

format

A character string. If not specified, the ISO 8601 international standard which expresses a day "%Y-%m-%d" is taken.

tibble

Should the output be a tibble, data frame or data table? By default, the function returns a data frame or data table depending on the input. To return a tibble, the user must set the tibble = TRUE.

verbose

indicator Used to show the progress.

object

Parameter related to the dummy function. See ?dummy for more information.

p

Parameter related to the dummy function. See ?dummy for more information.

Value

A data frame, data table or tibble with the aforementioned variables aggregated by the given ID variables. If the input is a data frame, a data frame is returned else a data table is returned.

Examples

# NOT RUN {
# Example
# Create some data
data <- data.frame(V1=sample(as.factor(c('yes','no')), 200000, TRUE),
                  V2=sample(as.character(c(1,2,3,4,5)),200000, TRUE),
                  V3=sample(1:20000,200000, TRUE),
                  V4=sample(300:1000, 200000, TRUE),
                  V5 = sample(as.Date(as.Date('2014-12-09'):Sys.Date()-1,
                  origin = "1970-01-01"),200000,TRUE),
                  ID=sample(x = as.character(1:4), size = 200000, replace = TRUE))

Aggregate(x=data,by='ID')

# Examples of how to use the object and p argument. See dummy and categories function for details.
# Aggregate(x=data,by='ID',object=categories(data))
# Aggregate(x=data,by='ID',p=2)
# }