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Outputs = list.files(path='output', pattern='WEB')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) =
c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) =
c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = res$S4/res$S5
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bprod~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bprod~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bpred~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bpred~S1+S2+S3+S4+S5,x)))
## Using compratio
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) anova(lm(bprod~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bprod~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) anova(lm(bpred~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bpred~S1+S2+S3+log(compratio,10),x)))
sim = res
sim = sim[order(sim$bm),]
sim$prank = rank(sim$bm)
write.table(sim,file='ep.dat', row.names=FALSE,quote=FALSE)
cor.test(sim$compratio,sim$bm)
plot(sim$compratio,sim$bm)
cor.test(log(sim$compratio,10),sim$bm)
cor.test(log(sim$compratio+1,10),sim$bm)
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+S,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S+co+D1,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
plot(res$co,res$b)
plot(res$co,res$bm)
colnames(res) = ,'tlmed'
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = ,'tlmed'
c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmin')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = res$S4/res$S5
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bprod~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bprod~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bpred~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bpred~S1+S2+S3+S4+S5,x)))
## Using compratio
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) anova(lm(bprod~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bprod~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) anova(lm(bpred~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bpred~S1+S2+S3+log(compratio,10),x)))
sim = res
sim = sim[order(sim$bm),]
sim$prank = rank(sim$bm)
write.table(sim,file='ep.dat', row.names=FALSE,quote=FALSE)
res
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = ,'tlmed'
c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmin')
c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmin','dsk','odsk','idsk','pp','tp')
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmin','tlmed','dsk','odsk','idsk','pp','tp')
res
plot(res$odsk,res$bm)
plot(res$odsk,log(res$bm,10))
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmin','tlmed','dsk','odsk','idsk','pp','tp')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = res$S4/res$S5
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
res
head(res)
res$compratio = log(res$S4/res$S5,10)
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmin','tlmed','dsk','odsk','idsk','pp','tp')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = log(res$S4/res$S5,10)
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+S+co,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bprod~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bprod~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bpred~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bpred~S1+S2+S3+S4+S5,x)))
## Using compratio
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) anova(lm(bprod~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bprod~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) anova(lm(bpred~S1+S2+S3+log(compratio,10),x)))
lapply(split(res,res$scaling),function(x) summary(lm(bpred~S1+S2+S3+log(compratio,10),x)))
sim = res
sim = sim[order(sim$bm),]
sim$prank = rank(sim$bm)
write.table(sim,file='ep.dat', row.names=FALSE,quote=FALSE)
anova(lm(bm~S1+S2+S3+S4+S5+S+co,res)))
summary(lm(bm~S1+S2+S3+S4+S5+S+co,res)))
anova(lm(bm~S1+S2+S3+S4+S5+S+co,res))
summary(lm(bm~S1+S2+S3+S4+S5+S+co,res))
anova(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+dsk+odsk+idsk+pp+tp,res))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmax','tlmed','dsk','odsk','idsk','pp','tp')
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmax','tlmed','dsk','odsk','idsk','pp','tp')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = res$S4/res$S5
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
anova(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bprod~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bprod~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bpred~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bpred~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
res$compratio = log(res$S4/res$S5+1,10)
anova(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bprod~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bprod~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bpred~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bpred~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
hist(res$compratio)
res$compratio = log(res$S4/res$S5+1,10)
hist(res$compratio)
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmax','tlmed','dsk','odsk','idsk','pp','tp')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = log(res$S4/res$S5+1,10)
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
anova(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bprod~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bprod~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bpred~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bpred~S1+S2+S3+S4+S5+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
sim = res
sim = sim[order(sim$bm),]
sim$prank = rank(sim$bm)
write.table(sim,file='ep.dat', row.names=FALSE,quote=FALSE)
res$compratio
print(res$S4,res$S5)
plot(res$S4,res$S5)
abline(a=0,b=1)
res$S4/res$S5
hist(res$S4/res$S5)
hist(log(res$S4/res$S5,10))
log(res$S4/res$S5,10)
log(res$S4/res$S5+1,10)
anova(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bprod~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bprod~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bpred~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bpred~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
plot(res$compratio,res$bm)
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmax','tlmed','dsk','odsk','idsk','pp','tp')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = log(res$S4/res$S5+1,10)
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
anova(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bprod~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bprod~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bpred~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bpred~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
sim = res
sim = sim[order(sim$bm),]
sim$prank = rank(sim$bm)
write.table(sim,file='ep.dat', row.names=FALSE,quote=FALSE)
plot(res$compratio,res$odsk)
cor.test(res$compratio,res$odsk)
cor.test(res$S4,res$odsk)
plot(res$S4,res$odsk)
plot(res$S5,res$odsk)
Outputs = list.files(path='output', pattern='EPweb')
Results = NULL
for (o in Outputs){
sim = read.table(paste('output/',o,sep=''))
Results = rbind(Results,sim)
}
res = Results
MotId = c(paste('S',c(1:5),sep=''),paste('D',c(1:8),sep=''))
colnames(res) = c('w','repl','scaling','L',MotId,'S','b','bm','bprod','bpred','tlav','tlvar','tlmax','tlmed','dsk','odsk','idsk','pp','tp')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res = res[-which.max(res$bm),]
res$compratio = log(res$S4/res$S5+1,10)
res$co = res$L / res$S^2
res$bm = log(res$bm,10)
res$bprod = log(res$bprod,10)
res$bpred = log(res$bpred,10)
anova(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
library(car)
anova(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
vif(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
anova(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
summary(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
vif(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
vif(lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp,res))
head(res)
lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp+D1+D2+D3+D4+D5+D6+D7+D8,res)
summary(MOD)
MOD = lm(bm~S1+S2+S3+compratio+S+co+tlav+tlvar+tlmax+dsk+odsk+idsk+pp+tp+D1+D2+D3+D4+D5+D6+D7+D8,res)
summary(MOD)
anova(MOD)
vif(MOD)
anova(MOD)
summary(MOD)
anova(MOD)
library(rockchalk)
load('webSp.Rdata')
Files = paste('output/web',webSp,'-SPECIES.dat',sep='')
#Outputs = list.files(path='output', pattern='web88-SPECIES')
Results = NULL
for (o in Files){
sim = read.table(o)
Results = rbind(Results,sim)
}
res = Results
MotId = paste('S',c(1:5),sep='')
colnames(res) =
c('w','repl','scaling','id',MotId,'tl','bm','gen','vul')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res$compratio = log(res$S4/res$S5,10)
res = subset(res,res$bm >= 0.001)
res$isprod = res$gen == 0
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+compratio,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+compratio,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
plot(res$gen,res$bm)
plot(res$S5,res$bm)
library(rockchalk)
load('webSp.Rdata')
Files = paste('output/web',webSp,'-SPECIES.dat',sep='')
#Outputs = list.files(path='output', pattern='web88-SPECIES')
Results = NULL
for (o in Files){
sim = read.table(o)
Results = rbind(Results,sim)
}
res = Results
MotId = paste('S',c(1:5),sep='')
colnames(res) =
c('w','repl','scaling','id',MotId,'tl','bm','gen','vul')
for(i in c(1:nrow(res))){
Mo = res[i,MotId]
res[i,MotId] = Mo / sum(Mo)
}
res$compratio = log(res$S4/res$S5,10)
res = subset(res,res$bm >= 0.001)
res$isprod = res$gen == 0
#lapply(split(res,list(res$scaling)),function(x) anova(lm(bm~S1+S2+S3+S4+S5,x)))
#lapply(split(res,list(res$scaling)),function(x) summary(lm(bm~S1+S2+S3+S4+S5,x)))
#lapply(split(res,list(res$scaling)),function(x) anova(lm(bm~S1+S2+S3+compratio,x)))
#lapply(split(res,list(res$scaling)),function(x) summary(lm(bm~S1+S2+S3+compratio,x)))
Fval = function(an){
Fv = an$`F value`
Fv = Fv[-length(Fv)]
print(Fv)
return(Fv / sum(Fv))
}
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+compratio,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+compratio,x)))
plot(res$S5,res$bm)
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+compratio,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+compratio,x)))
res$compratio = res$S4/res$S5
res = subset(res,res$bm >= 0.001)
res$isprod = res$gen == 0
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) summary(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
lapply(split(res,res$scaling),function(x) anova(lm(bm~S1+S2+S3+S4+S5+gen+vul,x)))
plot(res$S4,res$bm)
plot(res$compratio,res$bm)
plot(res$compratio,res$bm,log='x')
plot(res$S5,log(res$bm))
plot(res$S4,log(res$bm))
plot(res$S4,log(res$bm,10))
plot(res$S4,res$bm)
plot(res$S4,res$bm)
plot(res$S4,res$bm,pch=20)