> On Aug 28, 2017, at 9:26 AM, Elie Canonici Merle
> wrote:
>
> Chuck (Is it fine to call you Chuck?)
In this forum, yes please.
> I don't know much about pmin and factor but it might worth looking into if
> you want to manipulate states by names (I assume this is why one might want
> to use
Chuck (Is it fine to call you Chuck?) has far more R jutsu than I do
obviously.
I don't know much about pmin and factor but it might worth looking into if
you want to manipulate states by names (I assume this is why one might want
to use it?)
generate_transition_matrix <- function(data, states)
Ok, I assumed you wanted to compute a matrix M for all states such that
M[i][j]= transition from state i to state j / number of transition from
state i
but from what you just answered it looks like you want to compute a matrix
M for a set of states S such that:
M[S_i][S_j]= transition from stat
All of this can be done without for loops.
Use head(..., -1), tail(..., -1) to get the pre and post states.
Use factor or pmin to recode them as necessary
Use table(pre, post) to get the transition counts.
Use prop.table(table_of_counts,1) to get the probabilities.
HTH,
Chuck
> On Aug 28,
Hi,
I think you overthought this one a little bit, I don't know if this is the
kind of code you are expecting but I came up with something like that:
generate_transition_matrix <- function(data, n_states) {
#To be sure I imagine you should check n_states is right at this point
transiti
Hello,
I am trying to implement a formula
aij= transition from state S_i to S_j/no of transition at state S_i
Code I have written is working with three state {1,2,3 }, but if the number
of states become={1,2,3,4,..n} then the code will not work, so can some
help me with this.
For and s
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