linkdat(x, model=NULL, verbose=TRUE, missing=0)
## S3 method for class 'linkdat':
print(x, ..., markers)
## S3 method for class 'linkdat':
summary(object, ...)
## S3 method for class 'linkdat':
as.data.frame(x, ..., famid=F, markers=seq_len(x$nMark), alleles=NULL,
missing=NULL, singleCol=FALSE)linkdat object, or a matrix/data.frame. In the latter case, x should contain containing columns corresponding to those indicated above. The order of the columns must be correct, as column names are ignored.linkdat.model object (typically y$model for some linkdat object y), or a single integer with the following meaning:
1 = autosomal dominant; 2 = autosomal recessive; 3 = X-linked dominant; 4 = X-linked recessive.
alleles=c("A","B").linkdat object, which is essentially a list with some or all of the following entries:data.frame describing the pedigree in standard linkage format, i.e. one row for each individual and 5 columns: ID, FID, MID, SEX, AFF.matrix containing the markerdatalinkdat.model object, essentially a list containing the model parameters. See setModel for detailsx$model$nallel==2) - a list of length nInd containing "initial"
haplotype probabilities for each individual, given the penetrance values and allele frequencieslinkdat object is a list whose entries describe a single medical pedigree. Internally the individuals are relabeled as 1,2,..., but this should rarely be of concern to the end user. Some pedigree checking is done, but it is recommended to plot the pedigree before doing any analysis.setModel, read.linkdat, write.linkdatdata(toyped)
toyped
x=linkdat(toyped, model=1)
x
summary(x)Run the code above in your browser using DataLab