3.15 Chapter 3 Review Questions 2
Here, again, is information on the USStates data frame.
State IQ Pres2008 Population College PhysicalActivity Smokers
1 Alabama 95.7 McCain 4.525375 24.6 70.3 24.8
2 Alaska 99.0 McCain 0.657755 29.2 79.4 24.9
3 Arizona 97.4 McCain 5.739879 30.8 75.7 20.2
4 Arkansas 97.5 McCain 2.750000 26.7 73.4 23.5
5 California 95.5 Obama 35.842038 31.1 77.2 15.2
6 Colorado 101.6 Obama 4.601821 38.0 81.2 19.8
StateName of stateIQMean IQ score of residentsPres2008Which 2008 Presidential candidate won state? M=McCain or O=ObamaPopulationNumber of residents (in millions)CollegePercentage of residents with college degreesPhysicalActivityPercentage of residents who have competed in a physical activity in the past monthSmokersPercentage of residents who smoke
require(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hererequire(coursekata)
# run your code hereThe NutritionStudy data frame contains data for 315 patients at a hospital who had a noncancerous growth removed through surgery. It includes the following variables:
IDID number for each subject in this sampleAgeSubject's age (in years)VitaminVitamin use: 1=Regular, 2=Occasional, or 3=NoCaloriesNumber of calories consumed per dayFatGrams of fat consumed per dayFiberGrams of fiber consumed per dayAlcoholNumber of alcoholic drinks consumed per weekCholesterolCholesterol consumed per day, in mgGenderCoded as Female or MaleEverSmokeSmoking status: Never, Former, or Current
Here's the result from running head(NutritionStudy):
Age Vitamin Calories Fat Fiber Alcohol Cholesterol Gender EverSmoke
1 64 1 1298.8 57.0 6.3 0.0 170.3 Female Former
2 76 1 1032.5 50.1 15.8 0.0 75.8 Female Never
3 38 2 2372.3 83.6 19.1 14.1 257.9 Female Former
4 40 3 2449.5 97.5 26.5 0.5 332.6 Female Former
5 72 1 1952.1 82.6 16.2 0.0 170.8 Female Never
6 40 3 1366.9 56.0 9.6 1.3 154.6 Female Former
require(coursekata)
# run your code here