All functions

FImputeExport-class

FImputeExport Class

FImputeRunner-class

FImputeRunner Class

FImputeRunner()

Build FImputeRunner object

SNPDataLong-class

SNPDataLong Class

SNPFileConfig-class

SNPFileConfig Class

SNPImportList-class

SNPImportList Class

Subset()

Subset an SNPDataLong object

cbind_SnpMatrix()

Safe cbind for SnpMatrix preserving dimnames

check.call.rate()

Check SNP call rate

check.ibs()

Check Identity-By-State (IBS) for a genotype pair

check.identical.samples()

Check identical samples based on distance

check.identical.samples.by.block()

Check identical samples by block

check.mendelian.inconsistencies()

Check Mendelian inconsistencies

check.mendelian.inconsistencies.pair()

Check Mendelian inconsistencies for a pair

check.sample.call.rate()

Check Sample Call Rate

check.sample.heterozygosity()

Check sample heterozygosity

check.snp.chromo()

Check SNP by chromosome

check.snp.hwe()

Check SNP Hardy-Weinberg equilibrium deviation

check.snp.hwe.chi2()

Check SNPs for Hardy-Weinberg equilibrium deviation using chi-square p-values

check.snp.maf()

Check SNP minor allele frequency

check.snp.mgf()

Check SNP missing genotype frequencies

check.snp.monomorf()

Check SNP monomorphic status

check.snp.no.position()

Check SNP no position

check.snp.same.position()

Check SNPs mapped to the same position

combineSNPData()

Combine multiple SNPDataLong objects

doPCA()

Do genome relationship matrix PCA

exploratory.plots()

Exploratory plots for SNP and sample summary

genoToDF()

Convert geno slot from SNPDataLong to a data.frame

get.correl.fc()

Get correlation (fc method)

get.gender()

Get gender based on heterozygosity

get.hwe.chi2()

Get HWE chi-square p-values

getGeno()

Flexible and efficient genotype file reading with autodetection using fread

ibs.pair()

IBS pair statistics

importAllGenos()

Import and combine multiple genotype configurations

importFImputeResults()

Import imputed FImpute results from disk

import_geno_list()

Import multiple genotype datasets from a list of configurations

pairs2sets()

Convert pairs to sets

plotPCAgroups()

Plot PCA groups from anticlustering result

qcSNPs()

Quality Control for SNPDataLong with optional criteria

qcSamples()

Quality control on samples

qc_header()

Formatted header message

rbindSnpFlexible()

Faster row-bind for SnpMatrix objects with differing columns

rbind_SnpMatrix()

Safe rbind for SnpMatrix preserving dimnames

read.fimpute()

Read imputed genotypes from FImpute output and return SNPDataLong object

runAnticlusteringPCA()

Run PCA and Anticlustering on SNPDataLong

runFImpute()

Run FImpute from a FImputeRunner object

saveFImpute()

Save genotype and map files in FImpute format

saveFImputeRaw()

Export genotypes and map using basic arguments

savePlink()

Save SNPDataLong object to PLINK format

summary(<SNPDataLong>)

Summary for SNPDataLong objects