Hi Lucie,
You can visualize this using the sizetree function (plotrix). You
supply a data frame of the individual choice sequences.
# form a data frame of "random" choices
coltrans<-data.frame(choice1=sample(c("High","Medium","Low"),100,TRUE),
choice2=sample(c("High","Medium","Low"),100,TRUE))
si
niversity
College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Lucie Dupond
Sent: Sunday, June 19, 2016 9:10 PM
To: r-help@r-project.org
Subject: [R] R help contingency table
Hello,
I'm sorry if my question is really basic, but
[mailto:r-help-boun...@r-project.org] On Behalf Of Lucie Dupond
Sent: Sunday, June 19, 2016 9:10 PM
To: r-help@r-project.org
Subject: [R] R help contingency table
Hello,
I'm sorry if my question is really basic, but I'm having some troubles with the
statistics for my thesis, and espec
> The first colomn is showing the first color, and the second is showing the
> second color of the transition
Are you sure?
transitions1 is a 3x3 matrix; it has three columns, not two.
Could it be that the columns are colour 2 following initial condition given by
row, or vice versa?
[not that t
Hello,
I'm sorry if my question is really basic, but I'm having some troubles with the
statistics for my thesis, and especially the khi square test and contingency
tables.
For what I understood, there are two "kinds" of khisquare test, that are quite
similar :
- Homogeneity, when we have one va
5 matches
Mail list logo