neatRanges (version 0.1.4)

combine_ranges: Combines ranges from different tables into a single table.

Description

Combines ranges from different tables into a single table.

Usage

combine_ranges(
  dfs,
  groups = NULL,
  start_var = NULL,
  end_var = NULL,
  startAttr = NULL,
  endAttr = NULL,
  dimension = "date",
  max_gap = 0L,
  fmt = "%Y-%m-%d",
  tz = "UTC",
  origin = "1970-01-01"
)

Value

Returns a data frame (if first table passed is data.table, then data.table) with combined ranges.

Arguments

dfs

A list of your data frames, e.g. list(df1, df2)

groups

Grouping variables

start_var

Start of the range

end_var

End of the range

startAttr

Attributes linked to start of the range which should be kept (converted to character type by default)

endAttr

Attributes linked to end of the range which should be kept (converted to character type by default)

dimension

Indicate whether your range includes only dates ('date') or also timestamp ('timestamp'). Defaults to 'date'

max_gap

Gap between date or timestamp ranges, e.g. for 0, default, it will put together all records where there is no gap in-between

fmt

The format of your date or timestamp field, defaults to YMD

tz

Time zone, defaults to UTC

origin

Origin for timestamp conversion, defaults to 1970-01-01

Examples

df1 <- data.frame(
  start = c("2010-01-01", "2012-06-01", "2014-10-15"),
  end = c("2010-08-05", "2013-03-03", "2015-01-01"),
  group = c("a", "a", "b"),
  infoScores = c(0, 3, 2)
)

df2 <- data.frame(
  end = c("2012-04-05", "2014-06-09", "2009-02-01"),
  group = c("b", "a", "b"),
  start = c("2009-01-15", "2012-07-08", "2008-01-01"),
  score = c(8, 2, 3)
)

combine_ranges(dfs = list(df1, df2), groups = "group",
start_var = "start", end_var = "end")