read_from_table_file: Read table file

In disprose: Discriminating Probes Selection

Read table file

Description

Read table file and selects the required rows and columns.

Usage

read_from_table_file(
  file,
  choose.columns = FALSE,
  column.names,
  select = FALSE,
  select.column.name,
  select.val,
  unique = FALSE,
  sep = ";",
  header = TRUE
)

Arguments

file	character; file name and path
choose.columns	logical; return chosen columns only
column.names	character; vector of name of columns that are chosen to be returned
select	logical; return only rows that contain selected values in one column
select.column.name	character; name of column that contains selected values
select.val	vector of values that define rows that should be returned
unique	logical; delete duplicated rows
sep	character; the field separator character
header	logical; files contain the names of the variables as its first line

Details

This function reads table files and returns data frame with selected rows (only rows with specified values) and columns. Also duplicated rows may be deleted.

column.names and select.column.name must be exact column names as in data frame.

Value

Data frame with file content, optionally trimmed.

Author(s)

Elena N. Filatova

Examples

mydata <- data.frame (N = 1:10, letter = c(rep ("A", 5), rep ("B", 4), "C"),
                   num = c(1, rep(1:4, 2), 5))
t1<-tempfile()
write.table (mydata, t1, sep = ";")
read_from_table_file (file = t1)
read_from_table_file (file = t1, select = TRUE, select.column.name = "letter",
                     select.val = c("A", "C"))
read_from_table_file (file = t1, select = TRUE, select.column.name = "letter",
                     select.val = c("A", "C"), unique=TRUE, choose.columns = TRUE,
                     column.names = c("letter", "num"))
read_from_table_file (file = t1, select = TRUE, select.column.name = "letter",
                     select.val = c("A", "C"), unique = TRUE, choose.columns = TRUE,
                     column.names = c("N", "num"))
read_from_table_file (file = t1, select = TRUE, select.column.name = "letter",
                     select.val = c("A", "C"), unique = TRUE, choose.columns = TRUE,
                     column.names = c("letter", "N"))
file.remove (t1)

disprose documentation built on March 19, 2022, 2:15 a.m.