Utils vs readr and fread

#utils Package
##Output as Data Frame
###Mother Import Function of two functions below    
read.table("data.txt", sep = "", col.names = c("x", "y"), 
           colClasses = c("factor", "NULL"))
    
        read.csv("data.csv", stringAsFactor = F, header = F) #Header and SAF Default True
        read.delim("data.txt", stringAsFactor = F, header = F) #Header and SAF Default True
##col.names and colClasses argument could be also passed in read.csv() and read.delim() function

#readr Package
##Output as tbl_df, tbl & data.frame
###Mother Import Function of two functions below    
read_delim("data.txt", col_names = c("x", "y"), col_names
           delim = "" #delim in readr is same as sep in utils 
           col_types = "cd") # c = character, d = double, i = integer, l = logical, _ = skip        
           
        read_csv("data.csv") #SAF Default FALSE, header Default True
        read_tsv("data.txt")
        
#fread function (data.table Package)
##Output as data.table & data.frame 
fread("data.csv", #Default auto determine header, coltypes and sep
      drop = 2:4,
      select = c("a", "e"))

Similar codes

1 vote212 views1 answer
R print concatenate
R
0 vote209 views1 answer
Replace any NA in a data frame in r
R
0 vote187 views1 answer
How to get quantile summary statistics in r summarise
R
0 vote196 views1 answer
Remove , in numbers in r
R
0 vote226 views1 answer
Extract number from string field R
R
0 vote234 views1 answer
End the program in r
R
1 vote224 views2 answers
Convert dataframe row to vector r
R
0 vote141 views1 answer
Replace na with blank in r
R
0 vote206 views1 answer
R prepend to a list
R
1 vote194 views1 answer
R regress one variable on all the other variables
R