metools (version 1.0.0)

cuminyear: Accumulated variation in year

Description

cuminyear calculates an accumulated variation in year of a index. Data must be start in january, use start to set this, if you data don't start in january and you need use this values, consider complete the previous months with 0.

Usage

cuminyear(data, coldate, colnum, start = 1)

Arguments

data

a dataframe

coldate

number of date column

colnum

number of values column

start

number of start row

Value

Return a dataframe.

Examples

# NOT RUN {
v=data.frame(
"Date"=c(seq.Date(as.Date("2018-01-01"),as.Date("2019-12-01"),by='month'))
,"Value"=c(rep(2,6),rep(3,6),rep(1,6),rep(5,6)))
cuminyear(v,coldate=1,colnum=2)

v=data.frame(
"Date"=c(seq.Date(as.Date("2018-06-01"),as.Date("2019-12-01"),by='month'))
,"Value"=c(rep(3,7),rep(1,6),rep(5,6)))

#this case, we can start in january 2019
cuminyear(v,coldate=1,colnum=2,start=8)

#or if we need the previous values i can complete january 2018 to may 2018 with 0.
v1=data.frame(Date=c(seq.Date(as.Date("2018-01-01"),as.Date("2018-05-01"),by='month')),
"Value"=c(rep(0,5)))
v=rbind(v1,v)
cuminyear(v,coldate=1,colnum=2)

# }