R: Descriptive sample size, mean, and standard error

Table.mean.se {SNPassoc} | R Documentation

## Descriptive sample size, mean, and standard error

### Description

This function computes sample size, mean and standard error of a quantitative trait for each genotype (or combination of genotypes)

### Usage

    Table.mean.se(var, dep, subset = !is.na(var))

### Arguments

`var` | quantitative trait
`dep` | variable with genotypes or any combination of them
`subset` | an optional vector specifying a subset of observations to be used in the descriptive analysis

### Value

`tp` | A matrix giving sample size (n), median (me) and standard error (se) for each genotype

### See Also

`Table.N.Per`

### Examples

    data(SNPs)
    # sample size, mean age and standard error for each genotype
    #  Table.mean.se(SNPs$snp10001,SNPs$protein)

    # The same table for a subset (males)
    #  Table.mean.se(SNPs$snp10001,SNPs$protein,SNPs$sex=="Male")

    # The same table assuming a dominant model
    #  Table.mean.se(dominant(snp(SNPs$snp10001,sep="")),SNPs$protein,SNPs$sex=="Male")

[Package SNPassoc version 1.9-2 Index]