ORCAS-Organic-Resource-Climate-Assessment-Simulation/linModTest.Rmd at master · graySquirrel/ORCAS-Organic-Resource-Climate-Assessment-Simulation · GitHub

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---
output: word_document
---
```{r}
source("treatmentClasses.R")
source("treatmentAnaerobicDigestion.R")
source("treatmentLandApplication.R")
source("treatmentcompost.R")
source("treatmentLandfill.R")
source("parseGlobalFactors.R")
source("baselines.R")

# o is in the env when you source baselines.R# ADLM <- lm(I(unlist(o$AD[1])) ~ I(o$f1$Bo/500) + I(o$f1$TS) +
#                  I(o$f1$VS) + I(o$f1$TKN/20000)))

TKN<-o$f1$TKN
Lo<-o$f1$Lo
TVS<-o$f1$TVS
InitialC<-o$f1$InitialC
fdeg <- o$f1$fdeg
rdeg <- o$f1$rdeg
npert <- o$f1$Nperton
Bo <- o$f1$Bo
TS <- o$f1$TS
percentCarboTS <- o$f1$percentCarboTS
percentProteinTS <- o$f1$percentProteinTS
percentLipidTS <- o$f1$percentLipidTS
TDN <- o$f1$TDN

# scaling is done by dividing the columns of x by the root mean square of the vector
# this is the default scaling algorithm in the r scale function
scaledTKN<-scale(o$f1$TKN, center = FALSE)
scaledLo<-scale(o$f1$Lo, center = FALSE)
scaledTVS<-scale(o$f1$TVS, center = FALSE)
scaledInitialC<-scale(o$f1$InitialC, center = FALSE)
scaledfdeg <- scale(o$f1$fdeg, center = FALSE)
scaledrdeg <- scale(o$f1$rdeg, center = FALSE)
scalednpert <- scale(o$f1$Nperton, center = FALSE)

# ADLM <- lm(unlist(o$AD[1]) ~ Lo + TVS + npert + InitialC : rdeg) # perfect fit!
# summary(ADLM)
# par(mfrow=c(2,2))
# plot(ADLM)
# coef(ADLM)
# ADLMS <- lm(unlist(o$AD[1]) ~ scaledLo + scaledTVS + scaledTKN + scaledInitialC : scaledrdeg)
# summary(ADLMS)
# plot(ADLMS)
# coef(ADLMS)

ADfLM <- lm(unlist(o$ADf[1]) ~ Lo + TVS + TKN + InitialC)
summary(ADfLM)
par(mfrow=c(2,2))
plot(ADfLM)
coef(ADfLM)
# ADfLMS <- lm(unlist(o$ADf[1]) ~ scaledLo + scaledTVS + scaledTKN + scaledInitialC : scaledrdeg)
# summary(ADfLMS)
# plot(ADfLMS)
# coef(ADfLMS)

# CMLM <- lm(unlist(o$CM[1]) ~ npert + InitialC + InitialC : rdeg)# perfect fit! doesn't simplify to InitialC:rdeg
# summary(CMLM)
# par(mfrow=c(2,2))
# plot(CMLM)
# coef(CMLM)
# CMLMS <- lm(unlist(o$CM[1]) ~ scalednpert + scaledInitialC : scaledrdeg)
# summary(CMLMS)
# plot(CMLMS)
# coef(CMLMS)

CMbLM <- lm(unlist(o$CMb[1]) ~ TKN + InitialC)# perfect fit!
summary(CMbLM)
par(mfrow=c(2,2))
plot(CMbLM)
coef(CMbLM)
# CMbLMS <- lm(unlist(o$CMb[1]) ~ scalednpert + scaledInitialC : scaledrdeg)
# summary(CMbLMS)
# plot(CMbLMS)
# coef(CMbLMS)

# y<-unlist(o$LA[1])
# names(y) <- o$f1$type
# LALM <- lm(y ~ npert + InitialC:rdeg)# perfect fit!
# summary(LALM)
# par(mfrow=c(2,2))
# plot(LALM)
# coef(LALM)
# # > coef(LALM)
# # (Intercept)           TKN      InitialC InitialC:fdeg
# # 19.020000000   0.006038214  -2.566666667   2.566666667
# LALMS <- lm(unlist(o$LA[1]) ~ scaledTKN + scaledInitialC + scaledInitialC : scaledfdeg)
# summary(LALMS)
# plot(LALMS)
# coef(LALMS)
# # > coef(LALMS)
# # (Intercept)                 scaledTKN            scaledInitialC
# # 19.02000                  64.14935                -654.80775
# # scaledInitialC:scaledfdeg
# # 595.29912

y<-unlist(o$LF[1])
names(y) <- o$f1$type
LFLM <- lm(y ~ Lo + InitialC + rdeg) # InitialC*rdeg gives perfect fit!
summary(LFLM)
par(mfrow=c(2,2))
plot(LFLM, las = 1)
coef(LFLM)
plot(fitted(LFLM))
points(y, cex=2)
# > coef(LFLM)
# (Intercept)            Lo      InitialC InitialC:fdeg
# 18.481100      5.756141     -3.666667      3.666667
# LFLMS <- lm(unlist(o$LF[1]) ~ scaledLo + scaledInitialC + scaledInitialC : scaledfdeg)
# summary(LFLMS)
# plot(LFLMS)
# coef(LFLMS)
# plot(fitted(LFLMS))
# points(y, cex=2)
# > coef(LFLMS)
# (Intercept)                  scaledLo            scaledInitialC
# 18.4811                 1218.6494                 -935.4396
# scaledInitialC:scaledfdeg
# 850.4273

y<-unlist(o$AF[1])
names(y) <- o$f1$type
AFLM <- lm(y ~ TS:TDN)
summary(AFLM)
par(mfrow=c(2,2))
plot(AFLM, las = 1)
coef(AFLM)
plot(fitted(AFLM))
points(y, cex=2)

y<-unlist(o$AF[1])
names(y) <- o$f1$type
AFLM <- lm(y ~ TS:TDN)
summary(AFLM)
par(mfrow=c(2,2))
plot(AFLM, las = 1)
coef(AFLM)
plot(fitted(AFLM))
points(y, cex=2)
```