Obtaining the unmerged cases from one of the two data set

Dear "R Gurus",

 

I am having two dummy csv data sets A and B containing 19 and 15
cases/observations respectively. From the two data set 13 cases are
intersection. From one of the two (any) data set, How do I then retrieve
the unmerged data ? let's take A for example, six cases must appear in
our results. See the R codes below.

 

Please assist.

 

Looking forward to hearing from the group sooner and thanking you in
advance

 

Kind regards

 

Mangalani Peter Makananisa

Statistical Analyst

South African Revenue Service (SARS)

Segmentation and Research : Data Modelling

Tel: +27 12 422 7357, Cell: +27 82 456 4669, Fax:+27 12 422 6579

E-Mail : pmakananisa at sars.gov.za <mailto:pmakananisa at sars.gov.za>

A = read.csv("C:/Documents and Settings/S1033067/Desktop/A.csv",

header = TRUE, dec =",", sep = ",")

names(A)

[1] "NAME"   "SALARY"

dim(A)[1]

[1] 19

B = read.csv("C:/Documents and Settings/S1033067/Desktop/B.csv",

header = TRUE, dec =",", sep = ",")

names(B)

[1] "NAME"     "B.SALARY"

dim(B)[1]

[1] 15

common = merge(A,B)

names(common)

[1] "NAME"     "SALARY"   "B.SALARY"

dim(common)[1]

[1] 13

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