catable: function to generate summary table for quantitative data
In GenABEL: genome-wide SNP association analysis

Description Usage Arguments Value Author(s) See Also Examples

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

1 2	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)

`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

table with number and proportion of observations falling between categories

Yurii Aulchenko

summary.snp.data, perid.summary

	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)