Respected Sir
I request you to please fill the following read.table function and
read.csvfor my understanding by assuming my data attached with this
maiL, because I
am fail to run these functions using manual guidlines.
read.table(file, header = FALSE, sep = "", quote = "\"'",
dec = ".", row.names, col.names,
as.is = !stringsAsFactors,
na.strings = "NA", colClasses = NA, nrows = -1,
skip = 0, check.names = TRUE, fill = !blank.lines.skip,
strip.white = FALSE, blank.lines.skip = TRUE,
comment.char = "#", allowEscapes = FALSE, flush = FALSE,
stringsAsFactors = default.stringsAsFactors())
read.csv(file, header = TRUE, sep = ",", quote="\"", dec=".",
fill = TRUE, comment.char="", ...)
read.delim(file, header = TRUE, sep = "\t", quote="\"", dec=".",
fill = TRUE, comment.char="", ...)
I shall be really thankful to you.
REGARDS
--
AMINA SHAHZADI
Department of Statistics
GC University Lahore, Pakistan.
Email:
[EMAIL PROTECTED]
[EMAIL PROTECTED]
[EMAIL PROTECTED]
Years lrmax n1 n2 n3 n4 arranged
1980 207.6 25 24 23 22 29.4
1981 92.7 24 23 22 21 49.4
1982 67.5 23 22 21 20 55.1
1983 93.8 22 21 20 19 58
1984 60.6 21 20 19 18 59
1985 117.4 20 19 18 17 59.1
1986 65.3 19 18 17 16 60.6
1987 59.1 18 17 16 15 65.3
1988 76.9 17 16 15 14 67.5
1989 123.1 16 15 14 13 69.6
1990 83.1 15 14 13 12 75.7
1991 75.7 14 13 12 11 76.8
1992 69.6 13 12 11 10 76.9
1993 55.1 12 11 10 9 83.1
1994 49.4 11 10 9 8 84.2
1995 76.8 10 9 8 7 87
1996 189.7 9 8 7 6 88.2
1997 151.1 8 7 6 5 92.7
1998 59 7 6 5 4 93.8
1999 88.2 6 5 4 3 110
2000 110 5 4 3 2 117.4
2001 87 4 3 2 1 123.1
2002 29.4 3 2 1 0 136.8
2003 84.2 2 1 0 0 151.1
2004 58 1 0 0 0 189.7
2005 136.8 0 0 0 0 207.6
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