data <- c(1977, 1979, 2013, 2014,'', 2015)
Save data as "csv" format comma separated:
Save as semicolon(;) separated csv file:
Save data as txt file:
write.table(data, file= 'data.txt', sep = '\t', row.names=T) # \t is tab
Save as RData:
If we have a, b, c, d, and e objects we can save them as RData then reload it in the new session
a<- c(5) b<- c(-1) c<- c(15) d<- c(55) e<- c('NA') save(a, b, c, d, e, file='test.RData') # Rdata is used to save multiple R objects load('C:\\Users\\Azad\\Documents\\test.RData')
Save an object to rds file:
saveRDS(data, 'firstData.rds') # Restore it rds_data <- readRDS("firstData.rds") # Rds is used to save a single R object
The workspace is your current R working environment and includes any user-defined objects (vectors, matrices, data frames, lists, functions).
Compressing and saving files:
write.csv(data, file = bzfile('data_ziped.csv.bz2'))
If you like the content, please SUBSCRIBE to my channel for the future content
To get full video tutorial and certificate, please, enroll in the course through this link: udemy.com/course/r-for-research/?referralCo..