collegeDistance <- read.csv("https://vincentarelbundock.github.io/Rdatasets/csv/AER/CollegeDistance.csv", header = TRUE)
highIncomeMale <- subset(collegeDistance,gender=="male" & income == "high")
highIncomeMale$state <-"New York"
highIncomeMale$state <-"New York"
highIncomeMale$city <-"Brooklyn"

# for all the education field  values that are 16, change the state field value to New Jersey.
highIncomeMale$state[highIncomeMale$education == 16]<-"New Jersey"

#I will display the first twenty rows of the modified data frame subset
head(highIncomeMale,20)
##       X gender ethnicity score fcollege mcollege home urban unemp wage distance
## 1     1   male     other 39.15      yes       no  yes   yes   6.2 8.09      0.2
## 22   22   male     other 59.56      yes       no  yes    no   7.7 7.04      0.5
## 33   33   male     other 58.66      yes       no  yes   yes   5.1 8.85      0.5
## 38   38   male     other 61.03      yes       no   no    no   6.2 8.09      0.6
## 39   39   male     other 54.35       no       no   no    no   6.2 8.09      0.6
## 41   41   male     other 70.10      yes       no  yes    no   6.2 8.09      0.6
## 61   61   male     other 57.74       no       no  yes    no   5.5 8.09      1.5
## 62   62   male     other 60.38      yes       no  yes    no   5.5 8.09      1.5
## 63   63   male     other 62.77       no       no   no    no   5.5 8.09      1.5
## 70   70   male     other 53.21       no       no  yes    no   6.9 7.04      2.0
## 74   74   male     other 60.22      yes       no  yes    no   7.7 7.04      2.0
## 77   77   male     other 51.84      yes      yes   no    no   4.4 8.09      0.5
## 80   80   male     other 57.50       no      yes  yes    no   4.4 8.09      0.5
## 82   82   male     other 50.62      yes       no  yes    no   7.5 8.09      0.5
## 97   97   male     other 56.47      yes       no  yes    no   5.3 8.09      0.1
## 105 105   male     other 66.95      yes      yes  yes    no   6.1 7.69      2.5
## 112 112   male     other 44.46      yes      yes  yes    no   5.4 8.09      1.9
## 117 117   male  hispanic 38.95       no       no  yes    no  13.5 7.69      5.0
## 122 122   male     other 44.46       no       no  yes    no   8.7 8.85      1.5
## 127 127   male     other 52.74      yes       no  yes    no   6.5 8.09      0.8
##     tuition education income region      state     city
## 1   0.88915        12   high  other   New York Brooklyn
## 22  0.90300        14   high  other   New York Brooklyn
## 33  0.84988        16   high  other New Jersey Brooklyn
## 38  0.88915        14   high  other   New York Brooklyn
## 39  0.88915        15   high  other   New York Brooklyn
## 41  0.88915        17   high  other   New York Brooklyn
## 61  0.88915        16   high  other New Jersey Brooklyn
## 62  0.88915        12   high  other   New York Brooklyn
## 63  0.88915        12   high  other   New York Brooklyn
## 70  0.90300        18   high  other   New York Brooklyn
## 74  0.90300        12   high  other   New York Brooklyn
## 77  0.88915        18   high  other   New York Brooklyn
## 80  0.88915        12   high  other   New York Brooklyn
## 82  0.88915        14   high  other   New York Brooklyn
## 97  0.88915        13   high  other   New York Brooklyn
## 105 1.11201        16   high  other New Jersey Brooklyn
## 112 0.88915        12   high  other   New York Brooklyn
## 117 1.11201        13   high  other   New York Brooklyn
## 122 0.84988        12   high  other   New York Brooklyn
## 127 0.88915        12   high  other   New York Brooklyn