My Rstudio cloud is crashing when I run the below code. Is it because of the 1GB limit on memory? What is a solution?
getwd()
setwd("/cloud/project")
load("/cloud/project/addhealth_1.RData")
new <- addhealth_1
new <- new[order(new$AID, decreasing = FALSE), ]
library(descr)
freq(new$BIO_SEX)
freq(new$age1)
freq(new$H1GI20)
new$BIO_SEX[new$BIO_SEX == 6] <- NA
new$H1GI20 [new$H1GI20 >= 96] <- NA
new$AGEGROUP[new$age1 <= 16.51] <- 1
new$AGEGROUP[new$age1 > 16.51] <- 2
freq(new$AGEGROUP)
new$OLDER4GRADE <- 0
new$OLDER4GRADE[is.na(new$H1GI20)|is.na(new$age1)] <- NA
new$OLDER4GRADE[new$H1GI20==7 & new$age1>=14|
new$H1GI20==8 & new$age1>=15|new$H1GI20==9 & new$age1>=16|
new$H1GI20==10 & new$age1>=17|new$H1GI20==11 & new$age1>=18|
new$H1GI20==12 & new$age1>=19] <- 1
freq(new$OLDER4GRADE)
library(Hmisc)
label(new$age1) <- "age"
label(new$BIO_SEX) <- "gender 1=male 2=female"
label(new$AGEGROUP) <- "age group"
label(new$OLDER4GRADE) <- "older for grade"
label(new$H1GI20) <- "grade level"
freq(new$age1)
freq(new$BIO_SEX)
freq(new$AGEGROUP)
freq(new$OLDER4GRADE)
freq(new$H1GI20)
describe(new$age1)
describe(new$H1GI20)
subset_male <- new[new$BIO_SEX == 1, ]
subset_female <- new[new$BIO_SEX == 2, ]
freq(subset_male$OLDER4GRADE)
freq(subset_female$OLDER4GRADE)
new$H1PF35 [new$H1PF35 >= 6] <- NA
new$FEELSOCACCEPT <- ifelse(is.na(new$H1PF35), NA,
ifelse(new$H1PF35<=2, 1,
ifelse(new$H1PF35<=5, 0, NA)))
label(new$FEELSOCACCEPT) <- "Feeling socially accepted"
freq(new$FEELSOCACCEPT)
subset_male <- new[new$BIO_SEX == 1, ]
subset_female <- new[new$BIO_SEX == 2, ]
freq(subset_male$FEELSOCACCEPT)
freq(subset_female$FEELSOCACCEPT)
sub_older<-new[new$OLDER4GRADE==1,]
sub_younger<-new[new$OLDER4GRADE==0,]
freq(sub_older$FEELSOCACCEPT)
freq(sub_younger$FEELSOCACCEPT)
sub_older_male<-new[(new$OLDER4GRADE==1 & new$BIO_SEX==1),]
sub_older_fem<-new[(new$OLDER4GRADE==1 & new$BIO_SEX==2),]
sub_younger_male<-new[(new$OLDER4GRADE==0 & new$BIO_SEX==1),]
sub_younger_fem<-new[(new$OLDER4GRADE==0 & new$BIO_SEX==2),]
freq(sub_older_male$FEELSOCACCEPT)
freq(sub_older_fem$FEELSOCACCEPT)
freq(sub_younger_male$FEELSOCACCEPT)
freq(sub_younger_fem$FEELSOCACCEPT)