Tablemeanse: Descriptive sample size, mean, and standard error

In isglobal-brge/SNPassoc: SNPs-Based Whole Genome Association Studies

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")

isglobal-brge/SNPassoc documentation built on May 15, 2023, 8:10 p.m.