data <- c(1977, 1979, 2013, 2014,'', 2015)
Save data as comma-separated CSV format:
Save as semicolon-separated CSV file:
Save data as text file:
write.table(data, file= 'data.txt', sep = '\t', row.names=T) # \t is tab
Save as RData:
If we have objects a, b, c, d, and e, we can save them as RData and reload them in a 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'))
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