Drosophila: Drosophila datasets and QTL mapping study

In pbiecek/PBImisc: A Set of Datasets Used in My Classes or in the Book 'Modele Liniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych'

Description

Two datasets with genotypes and phenotypes for backcrossed Drosophilas.

Usage

data(Drosophila)

Format

Two datasets with genotypes and phenotypes for backcrossed Drosophilas.

The set of 41 markers describes genotypes while 5 variables describe phenotypes. See references for more details.

bm

A data.frame with 370 obs. and 46 variables, first 41 are genotypes of gene markers, last five describes genotypes

bs

A data.frame with 402 obs. and 46 variables, first 41 are genotypes of gene markers, last five describes genotypes

chr

Factor w/ 4 levels CBFbeta, FLT3, None, Other

pos

Markers position on chromosom in centimorgnas

Details

The phonotype pc1 is nicely described by genotype in both backcrossed datasets.

Source

Genetic Architecture of a Morphological Shape Difference Between Two Drosophila Species Zhao-Bang Zenga, Jianjun Liu, Lynn F. Stamb, Chen-Hung Kao, John M. Mercer, Cathy C. Laurie Genetics, Vol. 154, 299-310, January 2000

Examples

data(Drosophila)
library(lattice)
# calculate log likelihoods
pval1 = numeric(41)
for (i in 1:41) {
  y = Drosophila$bm$pc1
  x = factor(Drosophila$bm[,i])
  pval1[i] = logLik(lm(y~x))
}
# loglikelihood plot
xyplot(pval1~pos|chr, data=Drosophila, type=c("p","l"), 
     pch=19, ylab="log likelihood")

pbiecek/PBImisc documentation built on May 24, 2019, 10:35 p.m.