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US15 - analise_US3.R
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US15 - analise_US3.R
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# Script de analise das submissões US15 - Equivale a US3
# Iury Gregory
library(Hmisc)
diferencaTimeStamp = function(dados) {
matriculas <- unique(dados$matricula)
dados$diferenca <- 0
df <- data.frame()
for( i in 1:length(matriculas)){
indices <- which(dados$matricula == matriculas[i])
temp <- dados[indices,]
for ( j in 1:nrow(temp)){
if( j == 1){
temp[j,"diferenca"] = 0
}else{
temp[j,"diferenca"] = temp[j,"timestamp"] - temp[j-1,"timestamp"]
}
}
df = rbind(df,temp)
}
return (df)
}
diferencaTimeStampAula = function(dados) {
matriculas <- unique(dados$matricula)
dados$diferenca <- 0
df <- data.frame()
for( i in 1:length(matriculas)){
indices <- which(dados$matricula == matriculas[i])
temp <- dados[indices,]
for ( j in 1:nrow(temp)){
temp[j,"diferenca"] = temp[j,"timestamp"] - temp[j,"timestampAula"]
}
df = rbind(df,temp)
}
return (df)
}
diferencaTimeStampAula2 = function(dados) {
matriculas <- unique(dados$matricula)
dados$diferenca2 <- 0
df <- data.frame()
for( i in 1:length(matriculas)){
indices <- which(dados$matricula == matriculas[i])
temp <- dados[indices,]
for ( j in 1:nrow(temp)){
if( j == 1){
temp[j,"diferenca2"] = 0
}else{
temp[j,"diferenca2"] = temp[j,"timestamp"] - temp[j-1,"timestamp"]
}
}
df = rbind(df,temp)
}
return (df)
}
sessaoDeCadaSubmissao = function(dados, limiar) {
tableSession = data.frame(matricula=c(),turma=c(),data.hora = c(),status = c(),nota = c(), turma.pratica = c(), timestamp = c(), classe = c(),
session=c(), timeSession=c(), lastSubmission=c())
dados$session = NA
amountSubmission = 0
timeSession = 0
session = 1
matricula = dados[1,"matricula"]
for(i in 1:length(dados$matricula)) {
if((dados[i,"diferenca"] < limiar) & matricula == dados[i, "matricula"]) {
dados$session[i] = session
amountSubmission = amountSubmission+1
timeSession = timeSession+dados[i,"diferenca"]
}
if(matricula != dados[i, "matricula"]) {
tableSession = rbind(tableSession,data.frame(matricula,dados[i-1,"turma"],dados[i-1,"data.hora"],dados[i-1,"status"],dados[i-1,"nota"],
dados[i-1,"turma.pratica"],dados[i-1,"timestamp"],dados[i-1,"classe"],session, timeSession, amountSubmission) )
matricula = dados[i, "matricula"]
session = 1
dados$session[i] = session
timeSession = 0
amountSubmission = 1
}
if((dados[i,"diferenca"] > limiar) & matricula == dados[i, "matricula"]) {
tableSession = rbind(tableSession, data.frame(matricula,dados[i-1,"turma"],dados[i-1,"data.hora"],dados[i-1,"status"],dados[i-1,"nota"],
dados[i-1,"turma.pratica"],dados[i-1,"timestamp"],dados[i-1,"classe"],session, timeSession, amountSubmission))
session = session+1
dados$session[i] = session
timeSession = 0
amountSubmission = 1
}
}
return(tableSession)
}
############################################################################
#Em aula
############################################################################
submissoes.aula <- read.csv("dados/SubmissoesHorarioDeAula.csv",header=T)
submissoes.aula <- submissoes.aula[order(submissoes.aula$timestamp,decreasing = F),]
tabela.aula <- diferencaTimeStampAula(submissoes.aula)
tabela <- diferencaTimeStampAula2(tabela.aula)
tabela <- tabela[,-11]
colnames(tabela) <- c("matricula","turma","data.hora","status","nota","turma.pratica","timestamp","classe","dataHora","timestampAula","diferenca")
limiar.aula = 7200
tabelaSessaoAula = sessaoDeCadaSubmissao(tabela, limiar.aula)
#Tabela com matricula, sess?o, tempo da sess?o, data da ultima submiss?o da sess?o
colnames(tabelaSessaoAula ) = c("matricula","turma","data.hora","status","nota",
"turma.pratica","timestamp","classe","session", "timeSession","amountSubmission")
write.csv(tabelaSessaoAula, "dados/TableSessionLengthEmAula.csv", row.names=F)
#Tabela da m?dia das sess?es de cada aluno
tableSumDiscipline.aula = with(tabelaSessaoAula, aggregate(timeSession, list(matricula), FUN=sum))
colnames(tableSumDiscipline.aula) = c("matricula", "sumSession")
write.csv(tableSumDiscipline.aula, "dados/tableSumDisciplineEmAula.csv", row.names=F)
#Tabela da m?dia das sess?es de cada aluno separado por cada prova
tableSumPerTest.aula = c(matricula=c(), sumSessions=c(), Prova=c())
test1.aula = subset(tabelaSessaoAula , as.numeric(as.POSIXct(strptime(tabelaSessaoAula$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) < as.numeric(as.POSIXct("2011-09-17 10:00:00", origin="1970-01-01")))
test1.aula = with(test1.aula, aggregate(timeSession, list(matricula), FUN=sum))
colnames(test1.aula) = c("matricula","sumSessions")
test1.aula$Prova = "Prova1"
tableSumPerTest.aula = rbind(tableSumPerTest.aula, test1.aula)
test2.aula = subset(tabelaSessaoAula, as.numeric(as.POSIXct(strptime(tabelaSessaoAula$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) < as.numeric(as.POSIXct("2011-10-29 10:00:00", origin="1970-01-01")) & as.numeric(as.POSIXct(strptime(tabelaSessaoAula$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) > as.numeric(as.POSIXct("2011-09-17 10:00:00", origin="1970-01-01")))
test2.aula = with(test2.aula, aggregate(timeSession, list(matricula), FUN=sum))
colnames(test2.aula) = c("matricula","sumSessions")
test2.aula$Prova = "Prova2"
tableSumPerTest.aula = rbind(tableSumPerTest.aula, test2.aula)
test3.aula = subset(tabelaSessaoAula , as.numeric(as.POSIXct(strptime(tabelaSessaoAula$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) < as.numeric(as.POSIXct("2011-11-26 10:00:00", origin="1970-01-01")) & as.numeric(as.POSIXct(strptime(tabelaSessaoAula$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) > as.numeric(as.POSIXct("2011-10-29 10:00:00", origin="1970-01-01")))
test3.aula = with(test3.aula, aggregate(timeSession, list(matricula), FUN=sum))
colnames(test3.aula) = c("matricula","sumSessions")
test3.aula$Prova = "Prova3"
tableSumPerTest.aula = rbind(tableSumPerTest.aula, test3.aula)
write.csv(tableSumPerTest.aula, "dados/tableSumPerTestEmAula.csv", row.names=F)
############################################################################
#Fora de aula
############################################################################
submissoes.fora <- read.csv("dados/SubmissoesForaHorarioDeAula.csv",header=T)
submissoes.fora <- submissoes.fora[order(submissoes.fora$timestamp,decreasing = F),]
submissoes.fora <- submissoes.fora[,-9]
tabela.fora <- diferencaTimeStamp(submissoes.fora)
png("Ecdf.png",bg="white",width=1000, height=480)
par(mfrow=c(1,2))
Ecdf(tabela.fora$diferenca/3600,q=(0.78),xlab = "Intervalo entre Submissões",
ylab="Proporção <= x",label.curves=TRUE,col="blue",las=1, subtitles=FALSE)
Ecdf(tabela.fora$diferenca/3600,q=(0.78),xlab = "Intervalo entre Submissões",
ylab="Proporção <= x",label.curves=TRUE,col="blue",las=1, subtitles=FALSE, xlim=c(0,48))
dev.off()
tabela2 = tabela.fora
limiar = quantile(tabela.fora$diferenca, 0.78)
tabelaSessaoFora = sessaoDeCadaSubmissao(tabela2, limiar)
#Tabela com matricula, sess?o, tempo da sess?o, data da ultima submiss?o da sess?o
colnames(tabelaSessaoFora ) = c("matricula","turma","data.hora","status","nota","turma.pratica"
,"timestamp","classe","session", "timeSession","amountSubmission")
write.csv(tabelaSessaoFora, "dados/TableSessionLengthForadeAula.csv", row.names=F)
#Tabela da m?dia das sess?es de cada aluno
tableSumDiscipline = with(tabelaSessaoFora, aggregate(timeSession, list(matricula), FUN=sum))
colnames(tableSumDiscipline) = c("matricula", "sumSession")
write.csv(tableSumDiscipline, "dados/tableSumDisciplineForadeAula.csv", row.names=F)
#Tabela da m?dia das sess?es de cada aluno separado por cada prova
tableSumPerTest = c(matricula=c(), sumSessions=c(), Prova=c())
test1 = subset(tabelaSessaoFora , as.numeric(as.POSIXct(strptime(tabelaSessaoFora$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) < as.numeric(as.POSIXct("2011-09-17 10:00:00", origin="1970-01-01")))
test1 = with(test1, aggregate(timeSession, list(matricula), FUN=sum))
colnames(test1) = c("matricula","sumSessions")
test1$Prova = "Prova1"
tableSumPerTest = rbind(tableSumPerTest, test1)
test2 = subset(tabelaSessaoFora, as.numeric(as.POSIXct(strptime(tabelaSessaoFora$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) < as.numeric(as.POSIXct("2011-10-29 10:00:00", origin="1970-01-01")) & as.numeric(as.POSIXct(strptime(tabelaSessaoFora$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) > as.numeric(as.POSIXct("2011-09-17 10:00:00", origin="1970-01-01")))
test2 = with(test2, aggregate(timeSession, list(matricula), FUN=sum))
colnames(test2) = c("matricula","sumSessions")
test2$Prova = "Prova2"
tableSumPerTest = rbind(tableSumPerTest, test2)
test3 = subset(tabelaSessaoFora , as.numeric(as.POSIXct(strptime(tabelaSessaoFora$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) < as.numeric(as.POSIXct("2011-11-26 10:00:00", origin="1970-01-01")) & as.numeric(as.POSIXct(strptime(tabelaSessaoFora$data.hora,"%m/%d/%Y %H:%M:%S"), origin="1970-01-01")) > as.numeric(as.POSIXct("2011-10-29 10:00:00", origin="1970-01-01")))
test3 = with(test3, aggregate(timeSession, list(matricula), FUN=sum))
colnames(test3) = c("matricula","sumSessions")
test3$Prova = "Prova3"
tableSumPerTest = rbind(tableSumPerTest, test3)
write.csv(tableSumPerTest, "dados/tableSumPerTestForadeAula.csv", row.names=F)