search for: pedigrees

Hi Im using the kinship package to draw a pedigree. On my data set this works fine but when i add indivudals to the pedigree i keep getting an error i hope someone can help me! This is the code im using: Data<-read.table("Tree.txt", header=T, sep=",") attach(Data) ped<-pedigree(id, dadid, momid, sex, aff) par(xpd=T) plot.pedigree(ped) This is my data looks like

I wish to make modifications to the plot.pedigree function in the kinship package. My attempts to contact the maintainer have been unsuccessful, but my question is general, so specifics of the kinship package might not be an issue. My first attempt was to make a new function Plot.pedigree in the .GlobalEnv which mostly achieved what I wanted to. However, I'm sure that's not the tidiest

...tween individuals. According to the documentation, I would expect the following to be relevant: http://rss.acs.unt.edu/Rdoc/library/kinship/html/plot.pedigree.html symbolsize controls symbolsize. Default=1. width default=8. For a packed pedigree, the minimum width allowed in the realignment of pedigrees. density defines density used in the symbols. Takes up to 4 different values. mar no comment(s) my pedigree command is similar to: plot(ptemp, width=5, symbolsize=1); however, 'width', doesnt seem to actually do anything as far as I can see (ie. the plot looks the same no matter what v...

I have a data frame containing the Id, Mother, Father and Sex from about 10,000 animals in our colony. I am interested in graphing simple family trees for a given subject or small number of subjects. The basic idea is: start with data frame from entire colony and list of index animals. I need to identify all immediate relatives of these index animals and plot the pedigree for them. We're

Hola a todos, A partir de los siguientes datos: d <- list(`1` = structure(list(ped = c(1L, 1L, 1L, 1L, 1L, 1L, 1L), id = 1:7, father = c(2L, 0L, 0L, 2L, 2L, 2L, 2L), mother = c(3L, 0L, 0L, 3L, 3L, 3L, 3L), sex = c(2L, 1L, 2L, 2L, 2L, 1L, 2L), affected = c(1L, 2L, 1L, 1L, 2L, 2L, 2L)), row.names = c("1", "2", "3", "4", "5",

Hola a todos, me gustaría realizar una consulta asociada a la generación de valores genéticos del pedigreemm en R. Primero generé el archivo de pedigree incluyendo los parentales para posteriormente estimar la varianza aditiva y los valores genéticos para cada individuo, relacionando los individuos por medio de la matriz de parentesco. Me da todo perfecto, el complemento pedigreemm trabaja muy

Hello! I am building a package, which includes also one Fortran subroutine, which works fine if I compile it as a shared library and load it into R via dyn.load(). However, when I launch R CMD check it doesn't stop with checking examples. It's just doing and doing ... I pasted the whole output from R CMD check. Does anyone have any suggestions? I'm still using R 2.0.1.

Dear R developers: I am a PHD candidate student in the school of public health of Peking University and my major is genetic epidemiology. I am learning the FAM-MDR algorithm, which is used to detect the gene-gene and gene-environment interactions in the data of pedigree. The codes were written by Tom Cattaert of the University of Liege. The algorithms and the sample datasets are available at

Dear useRs: Announcing the release of kinship2, version 1.2.1, to CRAN. kinship2 is a branch from the original kinship package with some key updates for the pedigree and kinship functions, with some additional functions that work with the pedigree object. Highlights: * pedigree and pedigreeList objects implemented with S3 methods print and "[," * pedigree plotting routine

Dear useRs: Announcing the release of kinship2, version 1.2.1, to CRAN. kinship2 is a branch from the original kinship package with some key updates for the pedigree and kinship functions, with some additional functions that work with the pedigree object. Highlights: * pedigree and pedigreeList objects implemented with S3 methods print and "[," * pedigree plotting routine

...other likelihood-based pedigree analyses. While a rudimentary version of the package has existed for a while, it was never properly introduced to this forum. The present version is a major update with new and improved functions. Features: * Singlepoint LOD scores for simple/complex/inbred pedigrees (implementing the Elston-Stewart algorithm). Allows partial genotypes (i.e. with one missing allele) * Multipoint analysis is provided through a wrapper for MERLIN. The wrapper creates all necessary files automatically, and makes it easy to re-run analysis under different models or with su...

...other likelihood-based pedigree analyses. While a rudimentary version of the package has existed for a while, it was never properly introduced to this forum. The present version is a major update with new and improved functions. Features: * Singlepoint LOD scores for simple/complex/inbred pedigrees (implementing the Elston-Stewart algorithm). Allows partial genotypes (i.e. with one missing allele) * Multipoint analysis is provided through a wrapper for MERLIN. The wrapper creates all necessary files automatically, and makes it easy to re-run analysis under different models or with su...

I'm currently packaging up some of the kinship matrix routines more formally, these are used in coxme when dealing with family correlation structures. One of my test programs exercises error conditions, i.e., it purposely feeds particular types of invalid pedigree data in to see if the right error message results. So there are comment-action pairs # the next line should generate a

Dear R Support Team, I hope this email finds you well. I am writing to inquire about the specific R packages that would best suit our academic research project, which involves analyses in various fields. We are particularly interested in the following areas: Epidemiology Analysis: We are aware that packages like epiR, survival, and epitools exist for epidemiological analysis. Could you please

Hello, There is a CRAN Task View: Epidemiology that should be or have what you are looking for. [1] https://CRAN.R-project.org/view=Epidemiology Hope this helps, Rui Barradas ?s 06:29 de 19/09/2024, Aleena Shaji escreveu: > Dear R Support Team, > > I hope this email finds you well. > > I am writing to inquire about the specific R packages that would best suit > our

Hi, I have a dataframe that contains pedigree information; that is individual, sire and dam identities as separate columns. It also has date of birth. These identifiers are not numeric, or not sequential. Obviously, an identifier can appear in one or two columns, depending on whether it was a parent or not. These should be consistent. Not all identifiers appear in the individual column - it is

Hi, You should look at Pinheiro and Bates (2000) Mixed-effects models in S and S-Plus. It describes how to format the correlation matrix to pass to functions lme and gls. Basically, the correlation matrix has to be one of the corStruct classes, probably corSymm for your example. So in the call to lme (or gls if you really have no random effects), use something like:

I am using dgc.genetics to perform TDT analysis on SNP data from a cohort of trios. I now have a file with about 6008 variables. The first few variables related to the pedigree data such as the pedigree ID the person ID etc. Thereafter each variable is a specific locus or marker. The variables are named by a pattern such as "Genotype.nnnnn" with nnnnn corresponding to a number which

Ron Crump wrote: > Hi, > > I have a dataframe that contains pedigree information; > that is individual, sire and dam identities as separate > columns. It also has date of birth. > > These identifiers are not numeric, or not sequential. > > Obviously, an identifier can appear in one or two columns, > depending on whether it was a parent or not. These should > be

Hi All, I'd like to ask for a few clarifications. I am doing some calculations over some biggish datasets. One has ~ 23000 rows, and 6 columns, the other has ~620000 rows and 6 columns. I am using these datasets to perform a simulation of of haplotype coalescence over a pedigree (the datestes themselves are pedigree information). I created a new dataset (same number of rows as the pedigree