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continua.R
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library(tidyverse)
library(BMA)
library(pROC)
train=read.csv('../data/raw/datacontinuousstudents.csv')%>%
dplyr::select(-id)%>%
rename(y=y)%>%
filter(!is.na(y))
y=train%>%
dplyr::select(y)%>%
as.matrix()
x=train%>%
dplyr::select(-y)%>%
as.matrix()
source('funciones.R')
t=Sys.time()
semillas=as.list(1:100)
las=lapply(semillas,lasso_n,x,y)
saveRDS(las, "las_lasso_nor.rds")
spip=prob_inc(las)
betas=get_betas(las)
colnames(betas)=colnames(x)
ok=colnames(x)[spip>0.5]
data.frame(betas)%>%
dplyr::select(ok)%>%
mutate(seed=1:nrow(betas))%>%
gather(beta,coef,-seed)%>%
filter(coef!=0)%>%
ggplot(aes(x=coef,fill=beta))+geom_histogram()+facet_wrap(~beta,scales = 'free')
x_red=data.frame(x)%>% ##quitamos x1 por el cambio de signo??
dplyr::select(x6,x13,x20,x23,x24,x23,x31)%>%
as.matrix()
evals=lapply(semillas,eval_n,x_red,y) ##esta con round y dio mejor
evals=lapply(as.list(1:20),eval_n2,x_red,y) ##esta con round y dio mejor
train=data.frame(x_red)%>%
mutate(y=y)
model=glm(y~.,family=gaussian(),data = train)
summary(model)
mets=get_met(evals)
data.frame(spec=mets$spec,global=mets$global)%>%
mutate(seed=1:length(mets$spec))%>%
gather(metrica,value,-seed)%>%
filter(value<10)%>%
ggplot(aes(x=metrica,y=value,fill=metrica))+
geom_boxplot()+
facet_wrap(~metrica,scales = 'free')
median(mets$global)
print(Sys.time()-t)
t=Sys.time()
las=lapply(semillas,bics_n,x,y)
saveRDS(las, "las_bic_nor.rds")
spip=prob_inc(las)
betas=get_betas(las)
colnames(betas)=colnames(x)
ok=colnames(x)[spip>0.5]
data.frame(betas)%>%
dplyr::select(ok)%>%
mutate(seed=1:nrow(betas))%>%
gather(beta,coef,-seed)%>%
filter(coef!=0)%>%
ggplot(aes(x=coef,fill=beta))+geom_histogram()+facet_wrap(~beta,scales = 'free')
x_red=data.frame(x)%>% ##quitamos x1 por el cambio de signo??
dplyr::select(x13,x23,x25)%>%
as.matrix()
evals=lapply(semillas,eval_n,x_red,y)
train=data.frame(x_red)%>%
mutate(y=y)
model=glm(y~.,family=gaussian(),data = train)
summary(model)
mets=get_met(evals)
data.frame(spec=mets$spec,global=mets$global)%>%
mutate(seed=1:length(mets$spec))%>%
gather(metrica,value,-seed)%>%
filter(value<10)%>%
ggplot(aes(x=metrica,y=value,fill=metrica))+
geom_boxplot()+
facet_wrap(~metrica,scales = 'free')
print(Sys.time()-t)
#### Extra
train=read.csv('../data/raw/datacontinuousstudents.csv')%>%
dplyr::select(-id)%>%
rename(y=y)%>%
filter(!is.na(y))
y=train%>%
dplyr::select(y)%>%
as.matrix()
x=train%>%
dplyr::select(-y)%>%
as.matrix()
x_red=data.frame(x)%>% ##quitamos x1 por el cambio de signo??
dplyr::select(x6,x13,x20,x23,x24,x23,x31)%>%
as.matrix()
evals=lapply(semillas,eval_n,x_red,y)
mets=get_met(evals)
data.frame(spec=mets$spec,global=mets$global)%>%
mutate(seed=1:length(mets$spec))%>%
gather(metrica,value,-seed)%>%
filter(value<10)%>%
ggplot(aes(x=metrica,y=value,fill=metrica))+
geom_boxplot()+
facet_wrap(~metrica,scales = 'free')