| read.ftable {stats} | R Documentation |
Read, write and coerce “flat” contingency tables.
read.ftable(file, sep = "", quote = "\"",
row.var.names, col.vars, skip = 0)
write.ftable(x, file = "", quote = TRUE, digits = getOption("digits"))
## S3 method for class 'ftable':
as.table(x, ...)
file |
either a character string naming a file or a connection
which the data are to be read from or written to. ""
indicates input from the console for reading and output to the
console for writing. |
sep |
the field separator string. Values on each line of the file are separated by this string. |
quote |
a character string giving the set of quoting characters
for read.ftable; to disable quoting altogether, use
quote="". For write.table, a logical indicating
whether strings in the data will be surrounded by double quotes. |
row.var.names |
a character vector with the names of the row variables, in case these cannot be determined automatically. |
col.vars |
a list giving the names and levels of the column variables, in case these cannot be determined automatically. |
skip |
the number of lines of the data file to skip before beginning to read data. |
x |
an object of class "ftable". |
digits |
an integer giving the number of significant digits to
use for (the cell entries of) x. |
... |
further arguments to be passed to or from methods. |
read.ftable reads in a flat-like contingency table from a
file. If the file contains the written representation of a flat
table (more precisely, a header with all information on names and
levels of column variables, followed by a line with the names of the
row variables), no further arguments are needed. Similarly, flat
tables with only one column variable the name of which is the only
entry in the first line are handled automatically. Other variants can
be dealt with by skipping all header information using skip,
and providing the names of the row variables and the names and levels
of the column variable using row.var.names and col.vars,
respectively. See the examples below.
Note that flat tables are characterized by their “ragged”
display of row (and maybe also column) labels. If the full grid of
levels of the row variables is given, one should instead use
read.table to read in the data, and create the contingency
table from this using xtabs.
write.ftable writes a flat table to a file, which is useful for
generating “pretty” ASCII representations of contingency tables.
as.table.ftable converts a contingency table in flat matrix
form to one in standard array form. This is a method for the generic
function as.table.
Agresti, A. (1990) Categorical data analysis. New York: Wiley.
ftable for more information on flat contingency tables.
## Agresti (1990), page 157, Table 5.8.
## Not in ftable standard format, but o.k.
file <- tempfile()
cat(" Intercourse\n",
"Race Gender Yes No\n",
"White Male 43 134\n",
" Female 26 149\n",
"Black Male 29 23\n",
" Female 22 36\n",
file = file)
file.show(file)
ft <- read.ftable(file)
ft
unlink(file)
## Agresti (1990), page 297, Table 8.16.
## Almost o.k., but misses the name of the row variable.
file <- tempfile()
cat(" \"Tonsil Size\"\n",
" \"Not Enl.\" \"Enl.\" \"Greatly Enl.\"\n",
"Noncarriers 497 560 269\n",
"Carriers 19 29 24\n",
file = file)
file.show(file)
ft <- read.ftable(file, skip = 2,
row.var.names = "Status",
col.vars = list("Tonsil Size" =
c("Not Enl.", "Enl.", "Greatly Enl.")))
ft
unlink(file)