In file 'R-Factor-Basics.docx', page 4, use the factor() command to modify the column dat$Group so that the control group is plotted last.
In file 'R-Factor-Basics.docx', page 4, use the factor() command to modify the column dat$Group so that the control group is plotted last.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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
Transcribed Image Text:3. In file 'R-Factor-Basics.docx', page 4, use the factor() command to modify the column
dat$Group so that the control group is plotted last.e

Transcribed Image Text:# Create the data frame.
emp.data <- data.frame (e
emp_id = c (1:5),
emp name = c("Rick","Dan","Michelle","Ryan","Gary"),-
salary = c(623.3,515.2,611.0,729.0,843.25),
start date =
as. Date (c ("2012-01-01", "2013-09-23", "2014-11-15",
"2014-05-11",e
"2015-03-27")),
stringsAsFactors = FALSE
# Add the "dept" coulmn.e
emp.data$dept <- c("IT","Operations","IT","HR","Finance")e
v <- emp.datae
print (v) e
When we execute the above code, it produces the following result
emp_id
emp_name
Rick
salary
start date
depte
1.
1
623.30
2012-01-01
IT-
2
Dan
515.20
2013-09-23
Operationse
3
3
Michelle
611.00
2014-11-15
IT-
4
4
Ryan
729.00
2014-05-11
HR
5
Gary
843.25
2015-03-27
Finance
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