SU R Program Project


Description

1. Read the postulates into a R postulatesframe.

2. Use an misapply statistical process to restrain if there is a dissonance in the Plasma beta-carotene levels betwixt the two genders. Provide misapply graphical displays to restrain the assumptions of the way you used. Perform enduring the graph has misapply inscription, labels, and font largeness, and perform enduring the prescribe of the categories in the graph performs appreciation.

3. Use an misapply statistical process to restrain if there is a analogy (difference) betwixt the calory intake of a idiosyncratic and their smoking manners. Provide misapply graphical displays to restrain the assumptions of the way you used. Perform enduring the graph has misapply inscription, labels, and font largeness, and perform enduring the prescribe of the categories in the graph performs appreciation.

4. Use an misapply statistical process to restrain if there is a analogy betwixt the gender of a idiosyncratic and their smoking manners.

5. Use the postulates to built a type that can be used to forebode a idiosyncratic’s Plasma Retinol levels from al remaining factors.

(a) Provide misapply graphical displays to restrain the assumptions of the way you used. Perform enduring the graph has misapply inscription, labels, and font largeness, and perform enduring the prescribe of the categories in the graph performs appreciation.

(b) Have the assumptions of the way been met?

(c) Are all the variables you used significant for forebodeing a idiosyncratic’s Plasma Retinol levels? Yes, No? Which ones? Explain your defense.

6. Use a way that achieve afford you to carry from the type variables that are not relevant/significant.

(a) Provide misapply graphical displays to restrain the assumptions of the way you used. Perform enduring the graph has misapply inscription, labels, and font largeness, and perform enduring the prescribe of the categories in the graph performs appreciation.

(b) Have the assumptions of the way been met?


Retinol Data:

AGE: Age (years) SEX: Sex (M,F)

SMOKSTAT: Smoking status (Never, Former, Current)

QUETELET: Quetelet (weight/(height2 ))

VITUSE: Vitamin Use (1=Yes, fairly repeatedly, 2=Yes, not repeatedly, 3=No)

CALORIES: Number of calories consumed per day

FAT: Grams of fat consumed per day

FIBER: Grams of fiber consumed per day

ALCOHOL: Number of alcoholic drinks consumed per week

CHOLESTEROL: Cholesterol consumed (mg per day)

BETADIET: Dietary beta-carotene consumed (mcg per day)

RETDIET: Dietary retinol consumed (mcg per day)

BETAPLASMA: Plasma beta-carotene (ng/ml)

RETPLASMA: Plasma Retinol (ng/ml)