similar to: lattice panel fine control

This is my reproducible example tv.ms<-structure(list(inq = structure(4:17, .Label = c("D4", "D5", "D6a", "D6b", "D6c", "D7", "D8", "F4", "F5a", "F5b", "F6a", "F6b", "F6c", "F6d", "F7a", "F7b", "F8"), class =

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

Hello, I am building a R-package for Genetics analysis. The accepted data is in pedigree (.ped) file format. To load the data (say CAMP.ped) from "data" directory, I have a function "CAMP.R", which does the job. The package builds successfully in Linux (.tar.gz) and the data loads successfully by "data(CAMP)". However, when I build the package in WINDOWS, the data

I am making the question clear. Please help. > Dear R experts > > I was using kinship package to fit mixed model with kinship matrix. > The package looks like lme4, but I could find a way to extract p-value > out of it. I need to extract is as I need to analyse large number of > variables (> 10000). > > Please help me: > > require(kinship) > > #Generating

Dear R-experts Execuse me for an easy question, but I need help, sorry for that. >From days I have been working with a large dataset, where operations are needed within a component of dataset. Here is my question: I have big dataset where x1:.....x1000 or so. What I need to do is to work on 4 consequite variables to calculate a statistics and output. So far so good. There are more vector

Dear R-helpers, First I apologize if my question is quite simple I have a large datasets which more 100 variables. For a research I need to change all name of variables with add one or more letters on each variables. For example, > data(Pima.tr) > Pima.tr[1:5,] npreg glu bp skin bmi ped age type 1 5 86 68 28 30.2 0.364 24 No 2 7 195 70 33 25.1 0.163 55 Yes 3 5

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",

Dear R experts. I might be missing something obvious. I have been trying to fix this problem for some weeks. Please help. #data ped <- c(rep(1, 4), rep(2, 3), rep(3, 3)) y <- rnorm(10, 8, 2) # variable set 1 M1a <- sample (c(1, 2,3), 10, replace= T) M1b <- sample (c(1, 2,3), 10, replace= T) M1aP1 <- sample (c(1, 2,3), 10, replace= T) M1bP2 <- sample (c(1, 2,3), 10, replace= T)

Dear all For my research, I am learning classification now. I was trying some example about classification tree pakages, such as tree and rpart, for instance, in Pima.te dataset have 8 variables (include class=type): library(rpart) library(datasets) pima.rpart <- rpart(type ~ npreg+glu+bp+skin+bmi+ped+age,data=Pima.te, method='class') plot(pima.rpart, uniform=TRUE) text(pima.rpart)

Hi all! I am using GenABEL on R for GWAS analysis. I am having a couple of issues: First, I am having a problem reading files (.map, & .ped, size 900Mb, using windows 32-bit) onto R in the "convert.snp.ped" statement. I am thinking this problem is likely due to the large size of the files & my version of R is not able to handle them, since I can read in smaller files.

Dear R mailing list, I have a dataset with genotypes from trios and I would like to infer haplotypes for each mother, father and child. The package that I could find that can do this is tdthap. But when the mother is homozygous (e.g., 2/2) the haplotype is called as not possible to infer (0); I would prefer for it to call the genotype (2). From what I understand it is doing what I would like

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 a using plink on a large SNP dataset with a .map and .ped file. I want to get some sort of file say a list of all the SNPs that plink is saying that I have. ANyideas on how to do this? -- Thanks, Jim. [[alternative HTML version deleted]]

Hi All, this is my first mail here. I'm trying to plot a multiline chart grouping values with no success. I have read a lot in the official Wiki and also searched via Google, but I did not find anything. I'm importing some data from a cvs file. Here is a sample: YEAR,AREA,CASES 1988,CONTRACTS,286 1988,INTERNATIONAL,189 1988,FAMILY,385 1988,TAXATION,177 1989,CONTRACTS,233

https://bugs.freedesktop.org/show_bug.cgi?id=60369 Priority: medium Bug ID: 60369 CC: airlied at freedesktop.org Assignee: nouveau at lists.freedesktop.org Summary: src/nouveau_exa.c:142:31: error: 'CREATE_PIXMAP_USAGE_SHARED' undeclared (first use in this function) QA Contact:

I was suggested to install two tar-red and gzip-ped packages that are not part of CRAN or BioConductors yet. I read the R manual about Administration and could only find a good description of how to install packages not canonically included in CRAN repository, on UNIX systems..... I work on Linux/SuSE and Windows ... so I am stuck with such an installation. Any suggestion in very welcome. Thank

Hello, I updated our main server to 9.2-STABLE today and afterwards I noticed a bunch of these messages, does anyone know what they mean? I was unable to find anything on this error message. Things appear to be working OK so far. Sep 30 22:08:56 illidan kernel: sonewconn: pcb 0xfffffe00c7223498: Listen queue overflow: 193 already in queue awaiting acceptance Sep 30 22:12:27 illidan kernel:

I am attempting to read in a SAS 9.1 data file. After starting R I change to the directory containing the sas data file and use the "dir" command to confirm that it is there. Then I run the following R-code: library(foreign) sashome <- "/Program Files/SAS/SAS 9.1" test<-read.ssd(file.path(sashome), "pcb", sascmd = file.path(sashome,

Hi I am working on a Nested one-way ANOVA. I don't know how to implement R code to test the significance of the random factor My R code so far can only test the fixed factor : anova(lme(PCB~Area,random=~1|Sites, data = PCBdata)) numDF denDF F-value p-value (Intercept) 1 12 1841.7845 <.0001 Area 1 4 4.9846 0.0894 Here is my data and my hand