Below are two equivalent solutions.
study_df <- data.frame(course = c(rep('Mathematics', 80 + 15),
rep('Physics', 32 + 24),
rep('Biology', 18 + 29)),
A = c(rep(1, 80), rep(0, 15),
rep(1, 32), rep(0, 24),
rep(1, 18), rep(0, 29)))
and
my_courses <- c(rep('Mathematics', 80 + 15),
rep('Physics', 32 + 24),
rep('Biology', 18 + 29))
my_A <- c(rep(1, 80), rep(0, 15), rep(1, 32), rep(0, 24),
rep(1, 18), rep(0, 29))
study_df <- data.frame(course = my_courses, A = my_A)
R. Mark Sharp
msh...@txbiomed.org<mailto:msh...@txbiomed.org>
On May 15, 2012, at 2:09 PM, T Bal wrote:
Hello,
My data is "study.txt":
"A" "Not A"
"Mathematics" 80 15
"Physics" 32 24
"Biology" 18 29
I want to transform this data into with column names 'course' and 'A':
course A
1 Mathematics 1
2 Mathematics 1
.. ...... ..
80 Mathematics 1
81 Mathematics 0
... ............ ...
95 Mathematics 0
96 Physics 1
... ............ ...
127 Physics 1
128 Physics 0
... ............ ...
151 Physics 0
etc.
How should I do it? So this data frame will consist from 198 rows.
Thank you very much.
kind regards,
T. Bal
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and provide commented, minimal, self-contained, reproducible code.
