R: Convert states to vector of probabilities of any given state
states2probs
R Documentation
Convert states to vector of probabilities of any given state
Description
Converts states (either as a size N array of labels
or an N \times K weight matrix) into N
probabilities per state.
If states is a matrix - representing the state
space in the dimensions of the original data - then the
probabilities will be formatted automatically to an array
of the same shape and dimension.
Usage
states2probs(weight.matrix = NULL, states = NULL, type = "MLE")
Arguments
states
array of size N with entry i
being the label k = 1, …, K of PLC i
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(LSC)
Loading required package: LICORS
Loading required package: RColorBrewer
Loading required package: fields
Loading required package: spam
Loading required package: grid
Spam version 1.3-0 (2015-10-24) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.
Attaching package: 'spam'
The following objects are masked from 'package:base':
backsolve, forwardsolve
Loading required package: maps
# maps v3.1: updated 'world': all lakes moved to separate new #
# 'lakes' database. Type '?world' or 'news(package="maps")'. #
Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.12
Loading required package: Matrix
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LSC/states2probs.Rd_%03d_medium.png", width=480, height=480)
> ### Name: states2probs
> ### Title: Convert states to vector of probabilities of any given state
> ### Aliases: states2probs
> ### Keywords: manip
>
> ### ** Examples
>
> state.sim <- sample.int(5, 100, replace = TRUE)
> prob.state <- states2probs(states = state.sim)
> layout(matrix(1:2, ncol = 2))
> plot(state.sim, xlab = "", ylab = "state")
> plot(prob.state, xlab = "", ylab = "probability")
> plot(state.sim, prob.state, xlab = "state", ylab = "probability", type = "h")
>
>
>
>
>
> dev.off()
null device
1
>