matman (version 1.1.3)

expandData: Expands a temporal data frame

Description

Expands a temporal data frame and fills values for missing dates.

Usage

expandData(
  data,
  expand,
  expandTo = c("all", "event"),
  valueColumns,
  latest_values = F,
  valueLevels = NA,
  timestamp,
  timestampFormat = c("day", "week", "month", "quarter", "year"),
  keepData = T
)

Arguments

data

Data frame that will be expanded.

expand

Name of the variables that will be expanded.

expandTo

Defines whether values for the variables to be expanded will be filled for all dates or only those dates included in the data.

valueColumns

Name of the columns that are filled with specific values.

latest_values

If True missing values are filled with the latest known value until the next known value comes in.

valueLevels

Specific values that are used to fill the value columns. If latest_values = TRUE only values with no known values in the past of this values are specified with this specific values.

timestamp

Name of the column including the timestamp. This column should be in Date , YY-mm, YYYY-'W'ww, YYYY-mm, YYYY-'Q'q or YYYY format.

timestampFormat

Declares in which format the timestamp comes in (i.e., "day", "week", "month", "quarter", "year").

keepData

Defines whether variables that will not be expanded should be kept.

Value

Returns the expanded data frame.

See Also

aggregateData

Examples

# NOT RUN {
data("Amount")
expandedItems = expandData(Amount,
    expand = c("item", "itemgroup"),
    expandTo = "all",
    valueColumns = c("amount", "value"),
    latest_values = TRUE,
    valueLevels = c(0, 0),
    timestamp = "date",
    timestampFormat = "day")
# }