EpiForsk (version 0.2.0)

multi_join: Join many data frames with name handling

Description

Function to join multiple data.frames with one or more common variable names.

Usage

multi_join(..., .by)

Value

The multi_join() function returns a data frame.

Arguments

...

Data frames to join. Each argument in ... must either be a data.frame or a list of data.frames.

.by

A character vector of variables to join by. The .by must be present in all data frames in ....

Author

KIJA

Examples

# Create some dummy data
testdata_id <- c(1:10)
a1 <- 1:10; b1 <- rep(letters[1:5], times = 2); c1 <- runif(10)
a2 <- 11:20; b2 <- letters[1:10]
a3 <- 21:30; b3 <- rep(letters[11:12], times = 5)
a4 <- 31:40; b4 <- letters[13:22]
a5 <- 41:50; b5 <- letters[11:20]

# Define data.frames with common key and shared column names
data1 <- data.frame(testdata_id, a = a1, b = b1, c = c1)
data2 <- data.frame(testdata_id, b = b2, a = a2)
data3 <- data.frame(testdata_id, a = a3, b = b3)
data4 <- data.frame(testdata_id, a = a4, b = b4)
data5 <- data.frame(testdata_id, a = a5, b = b5)

# multi join
final_data <- multi_join(
  data1,
  data2,
  data3,
  data4,
  data5,
  .by = "testdata_id"
)