Search notes:

R function: read.csv

read.csv() is a wrapper function for read.table() that mandates a comma as separator and uses the input file's first line as header that specifies the table's column names. Thus, it is an ideal candidate to read CSV files.

#
#    Compare with -> read.fwf (for reading «fixed width field» files).
#
#    S.a. -> write.csv()
#
#    Use -> names to show column-names of csv.
#


# Assume data.csv with a header and values
# to be seperated by commas (","):
data <- read.csv("data.csv")

cat("\n\n")

show(data)
#   col_1 col_2 col_3
# 1   foo   bar   baz
# 2   one   two three

cat("\n\n\n")

data$col_1
# [1] foo one
# Levels: foo one

cat("\n\n\n")

# Read a semicolon seperated file:
data_ssv <- read.csv("data-no-header.ssv", head=FALSE, sep=";")
show(data_ssv)
#
#       V1  V2     V3
# 1    foo bar    baz
# 2      1   2      3
# 3 orange     banana

Github repository about-r, path: /functions/read.csv.R

Reading lines with new lines

data <- read.csv("newlines.csv", stringsAsFactors = FALSE)

subset(data, col_1 == 2)$col_2

Github repository about-r, path: /functions/read.csv/newlines.R

The CSV file.

col_1,col_2,col_3
1,one,abc
2,"the
second line",def
3,the third line,ghi

Github repository about-r, path: /functions/read.csv/newlines.csv

Assign a data frame from script-embedded data

With the text= parameter of read.csv(), it's possible to assign the value for a data frame from data that is embedded within an R source (script) file:

inline_data <- read.csv(text =
"head 1,head 2,head 3
val 1,val 2,val 3
foo,bar,baz"
);

inline_data;
#
#   head.1 head.2 head.3
# 1  val 1  val 2  val 3
# 2    foo    bar    baz

Github repository about-r, path: /functions/read.csv/text.R

R function: read.csv

Reading lines with new lines

Assign a data frame from script-embedded data

See also