iddply: ddply with inequality constraints

In johnmyleswhite/cumplyr: Extends ddply to allow calculation of cumulative quantities.

Description

ddply with inequality constraints

Usage

iddply(data,
       equality.variables,
       lower.bound.variables,
       upper.bound.variables,
       norm.ball.variables,
       func)

Arguments

data	Data to process
equality.variables	Character vector of variables used to split data on equality
lower.bound.variables	Character vector of variables used to split data on lower bound inequalities
upper.bound.variables	Character vector of variables used to split data on upper bound inequalities
norm.ball.variables	Character vector of variables used to split data on norm ball inequalities
func	Function to call on each split-out subset of the data

Value

Data frame with results combined across splits

Examples

library('cumplyr')

data <- data.frame(Time = 1:5, Value = seq(1, 9, by = 2))

iddply(data,
       equality.variables = c('Time'),
       lower.bound.variables = c(),
       upper.bound.variables = c(),
       norm.ball.variables = list(),
       func = function (df) {with(df, mean(Value))})

iddply(data,
       equality.variables = c(),
       lower.bound.variables = c('Time'),
       upper.bound.variables = c(),
       norm.ball.variables = list(),
       func = function (df) {with(df, mean(Value))})

iddply(data,
       equality.variables = c(),
       lower.bound.variables = c(),
       upper.bound.variables = c('Time'),
       norm.ball.variables = list(),
       func = function (df) {with(df, mean(Value))})

iddply(data,
       equality.variables = c(),
       lower.bound.variables = c(),
       upper.bound.variables = c(),
       norm.ball.variables = list('Time' = 1),
       func = function (df) {with(df, mean(Value))})

iddply(data,
       equality.variables = c(),
       lower.bound.variables = c(),
       upper.bound.variables = c(),
       norm.ball.variables = list('Time' = 2),
       func = function (df) {with(df, mean(Value))})

iddply(data,
       equality.variables = c(),
       lower.bound.variables = c(),
       upper.bound.variables = c(),
       norm.ball.variables = list('Time' = 5),
       func = function (df) {with(df, mean(Value))})

johnmyleswhite/cumplyr documentation built on May 19, 2019, 5:17 p.m.