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qtl (version 0.99-22)
Tools for analyzing QTL experiments
Description
Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
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Install
install.packages('qtl')
Monthly Downloads
2,669
Version
0.99-22
License
GPL version 2 or later
Maintainer
Karl W Broman Saunak Sen ssenjaxorg
Last Published
August 22nd, 2024
Functions in qtl (0.99-22)
Search all functions
find.flanking
Find flanking markers for a specified position
clean
Remove derived data
plot.scantwo
Plot LOD scores for a two-dimensional genome scan
find.marker
Find marker closest to a specified position
summary.fitqtl
Summary of fit of qtl model
plot.info
Plot the proportion of missing genotype information
geno.table
Create table of genotype distributions
est.rf
Estimate pairwise recombination fractions
read.cross
Read data for a QTL experiment
c.cross
Combine data for QTL experiments
lodint
LOD support interval
convert2ss
Convert an intercross into a form to allow sex-specific maps
sim.map
Simulate a genetic map
plot.scanone
Plot LOD curves
makeqtl
Make a qtl object
max.scanone
Maximum peak in genome scan
plot.geno
Plot observed genotypes, flagging likely errors
replace.map
Replace the genetic map of a cross
plot.missing
Plot grid of missing genotypes
scantwo
Two-dimensional genome scan with a two-QTL model
summary.ripple
Print summary of ripple results
ripple
Compare marker orders
plot.cross
Plot various features of a cross object
effectplot
Plot phenotype means against genotypes at one or two markers.
summary.map
Print summary of a genetic map
pull.map
Pull out the genetic map from a cross
plot.map
Plot genetic map
summary.scanone
Summarize the results of one or several one-QTL genome scans
comparegeno
Compare individuals' genotype data
arithscan
Arithmetic Operators for genome scan results
est.map
Estimate genetic maps
pull.geno
Pull out the genotype data from a cross
calc.genoprob
Calculate conditional genotype probabilities
scanqtl
General QTL scan
effectscan
Plot allelic effect across the whole genome
strip.partials
Strip partially informative genotypes
fill.geno
Fill holes in genotype data
sim.geno
Simulate genotypes given observed marker data
summary.scantwo
Summarize the results of a two-dimensional genome scan
sim.cross
Simulate a QTL experiment
plot.rf
Plot recombination fractions
argmax.geno
Reconstruct underlying genotypes
comparecrosses
Compare two cross objects.
max.scantwo
Maximum peak in two-dimensional genome scan
A starting point
Introductory comments
find.pheno
Find column number for a particular phenotype.
subset.cross
Subsetting data for QTL experiment
summary.cross
Print summary of QTL experiment
plot.errorlod
Plot grid of error LOD values
nmissing
Number of missing genotypes
qtl-internal
Internal qtl functions
print.cross
Print a QTL experiment
scanone
Genome scan with a single QTL model
switch.order
Switch the order of markers on a chromosome
plot.pxg
Plot phenotypes versus marker genotypes.
calc.errorlod
Identify likely genotyping errors
drop.markers
Drop a set of markers
movemarker
Move a marker to a new chromosome
convert.scanone
Convert output from scanone for R/qtl version 0.98
fitqtl
Fit a multiple QTL model
top.errorlod
List genotypes with large error LOD scores
bayesint
Bayesian probability interval
drop.nullmarkers
Drop markers without any genotype data
write.cross
Write data for a QTL experiment to a file
fake.f2
Simulated data for an F2 intercross
badorder
An intercross with misplaced markers
fake.4way
Simulated data for a 4-way cross
bristleX
Data on bristle number in Drosophila
map10
An example genetic map
hyper
Data on hypertension
listeria
Data on Listeria monocytogenes susceptibility
fake.bc
Simulated data for a backcross
bristle3
Data on bristle number in Drosophila