filterByDefault {anapuce}

Filter applied on data before normalisation

Description

Apply a filter on input data by deleting spots with values for filter.var are mentionned in filter.fic by deleting spots with flags equal to flag0 (-100 by default).

Usage

filterByDefault(fileIN, flag0, m, filter.fic = filter.fic, 
filter.var = filter.var, sep = sep, sep.write = sep.write, 
dec.write = dec.write, ...)

Arguments

fileIN

input datafame.

flag0

value(s) of flags to delete.

m

number of identificant columns.

filter.fic

name of the file containing the values of the variable named filter.var to delete.

filter.var

name of the variable concerned with deletion.

sep

the field separator string to use in the read.table function.

sep.write

the field separator string to use in the write.table function.

dec.write

the string to use for decimal points in the write.table function.

...

Further arguments to be passed to read.table.

Value

A subset of the input dataframe

Author(s)

J. Aubert

See Also

normalisation