Nothing
# This test function is automatically produced by the python script:/home/mm/SoilR/RPackages/SoilR/pkg/inst/tests/automatic/Rexample.py
test.TwopFeedback=function(){
require(RUnit)
c1=1
c2=0
r=1/4
k1=1/10
k2=1/5
f=1
t_start=0
t_end=2
tn=100
tol=.02/tn
#print(tol)
timestep=(t_end-t_start)/tn
t=seq(t_start,t_end,timestep)
A=new("ConstLinDecompOp",matrix(
nrow=2,
ncol=2,
c(
-k1, k1*(-r + 1),
f*k2, -k2
)
))
inputrates=new("TimeMap",t_start,t_end,function(t){return(matrix(
nrow=2,
ncol=1,
c(
0, 0
)
))})
Y=matrix(ncol=2,nrow=length(t))
Y[,1]=c1*(-4*(1/(-2*sqrt(7)/3 + 2/3) - 4/((-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)**2*(sqrt(7)/3 + 7/3)))*exp(t*(-3/20 - sqrt(7)/20))/(1 + sqrt(7)) + 4*exp(t*(-3/20 + sqrt(7)/20))/((-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)*(sqrt(7)/3 + 7/3))) + c2*(-16*exp(t*(-3/20 - sqrt(7)/20))/((1 + sqrt(7))*(-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)*(sqrt(7)/3 + 7/3)) - 4*exp(t*(-3/20 + sqrt(7)/20))/((-sqrt(7) + 1)*(sqrt(7)/3 + 7/3)))
Y[,2]=c1*((1/(-2*sqrt(7)/3 + 2/3) - 4/((-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)**2*(sqrt(7)/3 + 7/3)))*exp(t*(-3/20 - sqrt(7)/20)) - exp(t*(-3/20 + sqrt(7)/20))/((-2*sqrt(7)/3 + 2/3)*(sqrt(7)/3 + 7/3))) + c2*(4*exp(t*(-3/20 - sqrt(7)/20))/((-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)*(sqrt(7)/3 + 7/3)) + exp(t*(-3/20 + sqrt(7)/20))/(sqrt(7)/3 + 7/3))
R=matrix(ncol=2,nrow=length(t))
R[,1]=c1*(-4*(1/(-2*sqrt(7)/3 + 2/3) - 4/((-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)**2*(sqrt(7)/3 + 7/3)))*exp(t*(-3/20 - sqrt(7)/20))/(1 + sqrt(7)) + 4*exp(t*(-3/20 + sqrt(7)/20))/((-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)*(sqrt(7)/3 + 7/3)))/40 + c2*(-16*exp(t*(-3/20 - sqrt(7)/20))/((1 + sqrt(7))*(-sqrt(7) + 1)*(-2*sqrt(7)/3 + 2/3)*(sqrt(7)/3 + 7/3)) - 4*exp(t*(-3/20 + sqrt(7)/20))/((-sqrt(7) + 1)*(sqrt(7)/3 + 7/3)))/40
R[,2]=0
meanTransitTime=(k1*(-r + 1) + k2)/(k1*k2*r)
mod=GeneralModel(
t,
A,
c(
c1,
c2
),
inputrates,
deSolve.lsoda.wrapper
)
Yode=getC(mod)
Rode=getReleaseFlux(mod)
meanTransitTimeode=getMeanTransitTime(
A,
c(
c1,
c2
)
)
TTDode=getTransitTimeDistributionDensity(
A,
c(
c1,
c2
)
,t
)
#begin plots
lt1=2
lt2=4
pdf(file="runit.TwopFeedback.pdf",paper="a4")
m=matrix(c(1,2,3,4),4,1,byrow=TRUE)
layout(m)
plot(t,Y[,1],type="l",lty=lt1,col=1,ylab="Concentrations",xlab="Time")
lines(t,Yode[,1],type="l",lty=lt2,col=1)
lines(t,Y[,2],type="l",lty=lt1,col=2)
lines(t,Yode[,2],type="l",lty=lt2,col=2)
legend(
"topright",
c(
"anlytic sol for pool 1",
"numeric sol for pool 1",
"anylytic sol for pool 2",
"numeric sol for pool 2"
),
lty=c(lt1,lt2),
col=c(1,1,2,2)
)
plot(t,R[,1],type="l",lty=lt1,col=1,ylab="Respirationfluxes",xlab="Time",ylim=c(min(R),max(R)))
lines(t,Rode[,1],type="l",lty=lt2,col=1)
lines(t,R[,2],type="l",lty=lt1,col=2)
lines(t,Rode[,2],type="l",lty=lt2,col=2)
legend(
"topright",
c(
"anlytic sol for pool 1",
"numeric sol for pool 1",
"anylytic sol for pool 2",
"numeric sol for pool 2"
),
lty=c(lt1,lt2),
col=c(1,1,2,2)
)
plot(t,TTDode,type="l",lty=lt1,col=1,ylab="TransitTimeDistributionDensity",xlab="Time")
dev.off()
# end plots
# begin checks
checkEquals(
Y,
Yode,
"test numeric solution for C-Content computed by the ode mehtod against analytical",
tolerance = tol,
)
checkEquals(
R,
Rode,
"test numeric solution for Respiration computed by the ode mehtod against analytical",
tolerance = tol,
)
checkEquals(
meanTransitTime,
meanTransitTimeode,
"test numeric solution for the mean transit Tiye computed by the ode mehtod against analytical value taken from manzoni et al",
tolerance = tol,
)
}
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