disprose (version 0.1.6)

read_and_unite_files: Read and unite files

Description

Read a bunch of table files and unite them in one data frame

Usage

read_and_unite_files(
  path,
  pattern,
  sep = ";",
  header = TRUE,
  add.file.id = FALSE,
  file.id = NULL,
  unique = FALSE
)

Arguments

path

character; directory path

pattern

character; file names pattern

sep

character; the field separator character

header

logical; files contain the names of the variables as its first line

add.file.id

logical; add file identification columns

file.id

data frame with file identification values

unique

logical; delete repeated rows

Value

data frame with united files' content.

Details

All files must be tables of same type. All files must be in one directory.

File identification columns might be added. There might be any number of such columns. They are added at the beginning of result data frame. File identification values are set as file.id data frame, where each column contains possible identification values and column names are names of identificator. If no file.id provided file names are set by default.

Examples

# NOT RUN {
path <- tempdir()
dir.create(path)
t1<-paste0(path, "/table1")
t2<-paste0(path, "/table2")
table1 <- data.frame (Num = 1:10, Letter = rep("A", 10))
write.table (table1, t1, sep = ";")
table2 <- data.frame (Num = 1:10, Letter = rep("B", 10))
write.table (table2, t2, sep = ";")
read_and_unite_files (path = path, pattern = "table", header = TRUE, sep = ";",
                      add.file.id = TRUE)
read_and_unite_files (path = path, pattern = "table", header = TRUE, sep = ";",
                      add.file.id = TRUE,
                      file.id = data.frame (id1 = c(1,2), id2 = c("one", "two")))
file.remove (t1); file.remove (t2)

# }