Hello,
Try the following.
rm(list = ls())
dat1 <- read.table(text = "
Serialno name year outcome
1 ken 1989 d
2 mary 1989 a
4 john 1989 a
5 tom 1989 a
6 jolly 1989 d
", header = TRUE, stringsAsFactors = FALSE)
dat2 <- read.table(text = "
Serialno name year disch_type
11 mwai 1990 d
21 wanjiku 1990 a
43 maina 1990 a
55 john 1990 a
67 welly 1990 d
", header = TRUE, stringsAsFactors = FALSE)
res <- merge(dat1[, c(1, 4)], dat2[, c(1, 4)], all = TRUE)
res <- merge(merge(res, dat1, all.y = TRUE), merge(res, dat2, all.y =
TRUE), all = TRUE)
res <- res[, c(1, 4, 5, 2, 3)]
res
Hope this helps,
Rui Barradas
Em 23-05-2013 09:41, Keniajin Wambui escreveu:
---------- Forwarded message ----------
From: Keniajin Wambui <kiang...@gmail.com>
Date: Thu, May 23, 2013 at 11:36 AM
Subject: Merge
To: r-help@r-project.org
I am using R 3.01 on R Studio to merge two data sets with approx 120
variables and the other with 140 variables but with a serialno as the
unique identifier.
i.e
Serialno name year outcome
1 ken 1989 d
2 mary 1989 a
4 john 1989 a
5 tom 1989 a
6 jolly 1989 d
and
Serialno name year disch_type
11 mwai 1990 d
21 wanjiku 1990 a
43 maina 1990 a
55 john 1990 a
67 welly 1990 d
How can I merge them to a common data set without having name.x and
name.y or year.x and year.y after merging
--
Mega Six Solutions
Web Designer and Research Consultant
Kennedy Mwai
25475211786
--
Mega Six Solutions
Web Designer and Research Consultant
Kennedy Mwai
25475211786
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
