read.ftable {stats} | R Documentation

## Manipulate Flat Contingency Tables

### Description

Read, write and coerce “flat” contingency tables.

### Usage

    read.ftable(file, sep = "", quote = "\"",
                row.var.names, col.vars, skip = 0)

    write.ftable(x, file = "", quote = TRUE, append = FALSE,
                 digits = getOption("digits"))

    ## S3 method for class 'ftable':
    as.table(x, ...)

### Arguments

`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"`.
`append` | logical. If `TRUE` and `file` is the name of a file (and not a connection or `"|cmd"`), the output from `write.ftable` is appended to the file. If `FALSE`, the contents of `file` will be overwritten.
`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.

### Details

`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`.

### References

Agresti, A. (1990) Categorical data analysis. New York: Wiley.

### See Also

`ftable` for more information on flat contingency tables.

### Examples

    ## 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)

[Package stats version 2.3.1 Index]