R: function to generate summary table for quantitative data

catable {GenABEL} | R Documentation

## function to generate summary table for quantitative data

### Description

This function makes a table with number of observations which fall between user-defined categories

### Usage

    catable(data, categories = c(quantile(data,c(0.01,0.1,0.5,0.9,0.99),na.rm=TRUE)),
    			cumulative = FALSE, na.rm = TRUE, digits = 3)

### Arguments

`data` | A vector of numerics
`categories` | vector containing desired cut-off levels
`cumulative` | whether cumulative distribution should be shown
`na.rm` | how to treat NAs
`digits` | number of digits to be saved in rounding

### Value

table with number and proportion of observations falling between categories

### Author(s)

Yurii Aulchenko

### See Also

`summary.snp.data`, `perid.summary`

### Examples

    	require(GenABEL.data)
    	data(srdta)
    	callr <- summary(srdta@gtdata)[,"CallRate"]
    	catable(callr,c(0.93,0.95,0.99))
    	catable(callr)
    	catable(callr,cum=TRUE)

[Package GenABEL version 1.8-0 Index]