You cannot have columns which are linearly dependent.
Starting a project which uses statistics without having some sort of
local statistical backup seems unprofitable.
install.packages("fortunes") # if not already done
library(fortunes)
fortune(122)
On 02/04/2015 15:20, Fix Ace wrote:
Thank
This is a big topic. You might try looking for tutorials on "linear
models", with "rank" or "rank deficiency" as subtopics. One possible
book is:
http://www.amazon.com/Linear-Models-Chapman-Statistical-Science/dp/1439887330/ref=sr_1_5?s=books&ie=UTF8&qid=1427987551&sr=1-5&keywords=linear+models+in
Thank you very much for the response. Then what does it mean? I am not a stat
person, but have to use it for my project. :(
Could you please recommend some readings about it? Thanks a lot!
On Wednesday, April 1, 2015 10:58 AM, Michael Dewey
wrote:
This is really a question about st
This is really a question about statistics rather than R but see below
On 01/04/2015 06:28, Fix Ace wrote:
I tried to run the sample code from R:
dd <- data.frame(a = gl(3,4), b = gl(4,1,12)) a b
1 1 1
2 1 2
3 1 3
4 1 4
5 2 1
6 2 2
7 2 3
8 2 4
9 3 1
10 3 2
11 3 3
12 3 4
options("contr
I tried to run the sample code from R:
dd <- data.frame(a = gl(3,4), b = gl(4,1,12)) a b
1 1 1
2 1 2
3 1 3
4 1 4
5 2 1
6 2 2
7 2 3
8 2 4
9 3 1
10 3 2
11 3 3
12 3 4
options("contrasts")
model.matrix(~ a + b, dd)(Intercept) a2 a3 b2 b3 b4
11 0 0 0 0 0
21 0 0
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