Nothing
rm(list = ls())
set.seed(NULL)
library(OncoSimulR)
### keepEvery = 1
rm(list = ls())
ng <- 50
u <- allFitnessEffects(noIntGenes = c(rep(0.1, ng)))
t_mc_k_50_1e8 <- system.time(mc_k_50_1e8 <- oncoSimulPop(5,
u,
model = "McFL",
mu = 1e-7,
detectionSize = 1e8,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1
))
t_mc_k_50_1e8
try(summary(mc_k_50_1e8)[, c(1:3, 8, 9)])
print(object.size(mc_k_50_1e8), units = "MB")
t_mc_k_50_1e9 <- system.time(mc_k_50_1e9 <- oncoSimulPop(5,
u,
model = "McFL",
mu = 1e-7,
detectionSize = 1e9,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1
))
t_mc_k_50_1e9
try(summary(mc_k_50_1e9)[, c(1:3, 8, 9)])
print(object.size(mc_k_50_1e9), units = "MB")
t_mc_k_50_1e10 <- system.time(mc_k_50_1e10 <- oncoSimulPop(5,
u,
model = "McFL",
mu = 1e-7,
detectionSize = 1e10,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1
))
t_mc_k_50_1e10
try(summary(mc_k_50_1e10)[, c(1:3, 8, 9)])
print(object.size(mc_k_50_1e10), units = "MB")
t_mc_k_50_5e10 <- system.time(mc_k_50_5e10 <- oncoSimulPop(5,
u,
model = "McFL",
mu = 1e-7,
detectionSize = 5e10,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1,
max.wall.time = 600
))
t_mc_k_50_5e10
try(summary(mc_k_50_5e10)[, c(1:3, 8, 9)])
print(object.size(mc_k_50_5e10), units = "MB")
t_mc_k_50_1e11 <- system.time(mc_k_50_1e11 <- oncoSimulPop(5,
u,
model = "McFL",
mu = 1e-7,
detectionSize = 1e11,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1,
max.wall.time = 600
))
try(summary(mc_k_50_1e11)[, c(1:3, 8, 9)])
print(object.size(mc_k_50_1e11), units = "MB")
t_mc_k_50_5e11 <- system.time(mc_k_50_5e11 <- oncoSimulPop(5,
u,
model = "McFL",
mu = 1e-7,
detectionSize = 5e11,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1,
max.wall.time = 600
))
try(summary(mc_k_50_5e11)[, c(1:3, 8, 9)])
print(object.size(mc_k_50_5e11), units = "MB")
###########################################################
ng <- 50
u <- allFitnessEffects(noIntGenes = c(rep(0.1, ng)))
t_exp_k_50_1e8 <- system.time(exp_k_50_1e8 <- oncoSimulPop(5,
u,
model = "Exp",
mu = 1e-7,
detectionSize = 1e8,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1
))
t_exp_k_50_1e8
try(summary(exp_k_50_1e8)[, c(1:3, 8, 9)])
print(object.size(exp_k_50_1e8), units = "MB")
t_exp_k_50_1e9 <- system.time(exp_k_50_1e9 <- oncoSimulPop(5,
u,
model = "Exp",
mu = 1e-7,
detectionSize = 1e9,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1
))
t_exp_k_50_1e9
try(summary(exp_k_50_1e9)[, c(1:3, 8, 9)])
print(object.size(exp_k_50_1e9), units = "MB")
t_exp_k_50_1e10 <- system.time(exp_k_50_1e10 <- oncoSimulPop(5,
u,
model = "Exp",
mu = 1e-7,
detectionSize = 1e10,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1,
max.wall.time = 600
))
t_exp_k_50_1e10
try(summary(exp_k_50_1e10)[, c(1:3, 8, 9)])
print(object.size(exp_k_50_1e10), units = "MB")
t_exp_k_50_5e10 <- system.time(exp_k_50_5e10 <- oncoSimulPop(5,
u,
model = "Exp",
mu = 1e-7,
detectionSize = 5e10,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1,
max.wall.time = 600,
errorHitWallTime = FALSE,
errorHitMaxTries = FALSE
))
t_exp_k_50_5e10
try(summary(exp_k_50_5e10)[, c(1:3, 8, 9)])
print(object.size(exp_k_50_5e10), units = "MB")
t_exp_k_50_1e11 <- system.time(exp_k_50_1e11 <- oncoSimulPop(5,
u,
model = "Exp",
mu = 1e-7,
detectionSize = 1e11,
initSize = 1e5,
detectionDrivers = NA,
detectionProb = NA,
keepPhylog = TRUE,
onlyCancer = FALSE,
mutationPropGrowth = FALSE,
keepEvery = 1,
finalTime = 5000,
mc.cores = 1,
max.wall.time = 600,
errorHitWallTime = FALSE,
errorHitMaxTries = FALSE
))
t_exp_k_50_1e11
try(summary(exp_k_50_1e11)[, c(1:3, 8, 9)])
print(object.size(exp_k_50_1e11), units = "MB")
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