Merge vertically split data

This function can be used when the MACRO dataset is vertically split, and must not be used to combine horizontally split data which has same variable names. It will rename the variable of the dataset, including shortcode of dlu and clu files with underscore and number, and combine them to single dataset. Returns a list with merged dataset, DLU and CLU. Data, DLU and CLU should be in same order. The merged dataset, dlu and clu can further be passed to apply_macro_dict.

Usage

merge_data(datalist, dlulist, clulist)

Arguments

datalist

A list of dataset

dlulist

A list of DLU data

clulist

A list of CLU data

Value

A list of three data.frame

• data: Merged dataset.

• dlu: Merged DLU data.

• clu: Merged CLU data.

See also

read_data apply_macro_dict

Examples

# Read example data
dt_a <- read.csv(system.file("extdata", "test_A.csv", package="cctu"),
                 colClasses = "character")
dt_b <- read.csv(system.file("extdata", "test_B.csv", package="cctu"),
                 colClasses = "character")

# Read DLU and CLU
dlu_a <- read.csv(system.file("extdata", "test_A_DLU.csv", package="cctu"))
dlu_b <- read.csv(system.file("extdata", "test_B_DLU.csv", package="cctu"))
clu_a <- read.csv(system.file("extdata", "test_A_CLU.csv", package="cctu"))
clu_b <- read.csv(system.file("extdata", "test_B_CLU.csv", package="cctu"))

# Merge dataset with merge_data function
res <- merge_data(datalist = list(dt_a, dt_b), dlulist = list(dlu_a, dlu_b),
                  clulist = list(clu_a, clu_b))
dt <- res$data # Extract combined data
dlu <- res$dlu # Extract combined DLU data
clu <- res$clu # Extract combined CLU data

# Apply CLU and DLU files
dt <- apply_macro_dict(dt, dlu = dlu, clu = clu, clean_names = FALSE)