search for: patient1

hi, folks: i need to transpose the following data: gene tissue patient1 patient2 patient3..... --------------------------------------------- gene1 breast 10 100 1 gene2 breast 20 200 4 gene3 breast 30 50 5 gene4 breast 40 400 9 .............................

Hello everyone, I am running a mixed effects model where I have two fixed factors, one with 2 levels and one with 4, and their interaction. Let's say these are my factors and their levels: FirstFactor: 1, 2 SecondFactor: A, B, C, D For the interaction, I am interested in the four two-way comparisons, not the two four-way comparisons. In other words, I want to test whether 1A is

Dear all, I have following data called "paitent" day patient1 patient4 patient5 patient6 0 -0.27842688 -0.04080808 -0.41948398 -0.04508318 56 -0.22275425 -0.01767067 -0.30977249 -0.03168185 112 -0.08217659 -0.26209243 -0.29141451 -0.09876170 252 0.08044537 -0.26701769 0.05727087 -0.09663701 where each patient have response values at fou...

...d to be the remaining observations, namely, -ig1. The problem is that I would like to be able to specify ig1 not as a vector of numeric indicies, but as a vector of column labels (as specified by data <- as.matrix(read.table("file", header=T....)). But if I do this: ig1 <- c('patient1', 'patient2') then, while I can do this: data[,ig1] I can no longer do this: data[,-ig1] because the unary operator does not like working with column labels. Is there a way to go backwards and determine the column indices from the column labels, or perhaps and even more simple way...

I have data set up like the following: control1 <- sample(1:75, 3947398, replace=TRUE) control2 <- sample(1:75, 28793, replace=TRUE) control3 <- sample(1:100, 392733, replace=TRUE) control4 <- sample(1:75, 858383, replace=TRUE) patient1 <- sample(1:100, 28048, replace=TRUE) patient2 <- sample(1:50, 80400, replace=TRUE) patient3 <- sample(1:100, 48239, replace=TRUE) control <- list(control1, control2, control3, control4) patient <- list(patient1, patient2, patient3) To classify these samples as either control or pat...

hi, everyone: i have a question on the reshape function. i have the following dataset : gene tissue patient1 patient2 patient3............. _________________________________________________ gene1 breast 10 20 50 gene2 breast 20 40 60 gene3 breast 100 200 300 which i hope to convert to the following format: gene patientID value gene1 ------...

Hello, I have a problem with data reshaping. Here's my data DF <- structure(list(idvar1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("patient1", "patient2" ), class = "factor"), idvar2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("dob", "hog"), class = "factor"), eka1 = structure(c(NA, NA, NA, NA, NA, NA, NA, NA, 2L, 1L, NA, NA, NA, NA), .L...