phaseportdat: Phase Potrait with Data Trajectories for Specified Entities

In bdynsys: Bayesian Dynamical System Model

Description

phaseportdat creates a phase portrait (velocity plot, vectorfield) based on the two differential equations that were considered to be the overall best models for indicator 1 and indicator 2. The user may specify entities for which he/she wants to plot the data trajectories over the phase portrait. It calls the function preprocess_data. It requires the packages plm, pracma, deSolve and graphics.

Usage

phaseportdat(dataset, xv, yv, rangeX, rangeY, f, entidx1, entidx2, entidx3, 
entidx4, entidx5, entidx6)

Arguments

dataset	a plm pdata.frame panel data frame.
xv	a reference to variable from the paneldata to be included as indicator 1 in the modeling procedure.
yv	a reference to variable from the paneldata to be included as indicator 2 in the modeling procedure.
rangeX	defines the range of the indicator 1.
rangeY	defines the range of the indicator 2.
f	a function that contains the models of the two indicators.
entidx1	index of an entity in the wide format data of a variable.
entidx2	index of an entity in the wide format data of a variable.
entidx3	index of an entity in the wide format data of a variable.
entidx4	index of an entity in the wide format data of a variable.
entidx5	index of an entity in the wide format data of a variable.
entidx6	index of an entity in the wide format data of a variable.

Author(s)

Viktoria Spaiser: [e-mail]

Examples

## Phase Portrait with Data Trajectories with the following two models:
## dx/dt  = + 0.0012 /x^2 and dy/dt = + 0.0071 x^3

phaseportdat(datap, datap$logGDP, datap$EmanzV, seq(0, 1, by = 0.1), seq(0, 1, by = 0.1), 
f <- function(t,Y=c()) rbind(0.0012/Y[1]^2, + 0.0071*Y[1]^3), 1, 2, 4, 5, 7, 9)

bdynsys documentation built on May 2, 2019, 9:42 a.m.