Question: Compare samples that don't have a coefficient on the design matrix
0
gravatar for Lluís R.
10 months ago by
Lluís R.950
Spain, Barcelona
Lluís R.950 wrote:

I have some data that I model with 4 factors, each one have two levels. However, I need to compare some samples based on a fifth factor that is not included on the model:

Here I provide an example design matrix:

groups <- paste(c("f1A", "f1B", "f1A", "f1A", "f1B", "f1A"),  
               c("f2B", "f2B", "f2A", "f2A", "f2B", "f2B"),  
               c("f3A", "f3A", "f3B", "f3B", "f3A", "f3A"),  
               c("f4A", "f4B", "f4A", "f4B", "f4A", "f4B"), sep = "_")

m <- model.matrix(~ 0+groups, as.factor(groups))
colnames(m) <- levels(as.factor(groups))
m
f <- c("H", "G", "H", "G", "H", "G")

Here I want to compare F and G but they are not on the model (m). Assuming that I cannot make them with the coefficients present on the design, how can I compare them? Do I need to build another design matrix?

linar-model R comparisons • 113 views
ADD COMMENTlink written 10 months ago by Lluís R.950
Please log in to add an answer.

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 949 users visited in the last hour