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When a data frame is applied in data analysis in R, very often some specific rows or observations may be selected. The simplest way to select observations is filling row indices in square brackets.
#show the full data frame
head(grade)
#select first 5 rows of data frame, and save to a new object
testdf <- grade[1:5,]
testdf
#output
StudentID First Last Gender Country Age Math Physics
1 1 James Zhang Male US 23 73 70
2 2 Wilson Li Male UK 26 95 999
3 3 Richard Nuan Ye Male UK 35 77 83
4 4 Mary Deng Female US 21 60 99
5 5 Jason Wilson Male UK 19 77 89
Chemistry Date
1 87 10/31/08
2 83 03/16/08
3 92 05/22/08
4 84 01/24/09
5 93 07/30/09
Conditional test can be included into row selection. In the following example, Male students over 23 years old are selected.
testdf <- grade[(grade$Gender == "Male") & (grade$Age >=23) ,]
testdf
#output
StudentID First Last Gender Country Age Math Physics
1 1 James Zhang Male US 23 73 70
2 2 Wilson Li Male UK 26 95 999
3 3 Richard Nuan Ye Male UK 35 77 83
10 10 Steinar Hansen Male UK 25 66 93
11 11 Michael Chen Male UK 42 83 90
12 12 Josef Curton Male US 32 71 63
13 13 Jennifer Jones Male US 27 79 76
20 20 Martin Jones Male US 25 82 73
Chemistry Date
1 87 10/31/08
2 83 03/16/08
3 92 05/22/08
10 999 08/01/08
11 77 10/24/08
12 96 11/08/09
13 82 10/29/08
20 62 999
>
Date variable can be transformed to data format, then observations with testing date between a specified range can be selected.
#transform Date variable into date format
grade$Date <- as.Date(grade$Date, "%m/%d/%y")
#create starting and ending date
date1 <- as.Date("2008-06-01")
date2 <- as.Date("2008-12-31")
#observations with testing date in the range are selected
testdf <- grade[which(grade$Date >= date1 &
grade$Date <= date2),]
testdf
#output
StudentID First Last Gender Country Age Math Physics
1 1 James Zhang Male US 23 73 70
7 7 Kari Gjendem Female US 37 87 99
8 8 Wenche Dale Female US 28 95 87
10 10 Steinar Hansen Male UK 25 66 93
11 11 Michael Chen Male UK 42 83 90
13 13 Jennifer Jones Male US 27 79 76
14 14 Gary Grant Female UK 35 90 78
15 15 Phil Yao Male UK 21 69 69
Chemistry Date
1 87 2008-10-31
7 67 2008-11-24
8 93 2008-10-02
10 999 2008-08-01
11 77 2008-10-24
13 82 2008-10-29
14 92 2008-10-24
15 83 2008-10-15
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