Data 2013-2014

1. Demographics data

# Load the foreign package
library(foreign)

# Read the XPT file into a data frame
demo = read.xport("C:/Users/Momo/Desktop/Machine Learning/Demographics data/DEMO_H.XPT")

# Write the data frame to a CSV file
write.csv(demo, file = "demo.csv", row.names = FALSE)

2. Dietary data

2.1 Food 1st day

DR1IFF = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DR1IFF_H.XPT")

write.csv(DR1IFF, file = "DR1IFF.csv", row.names = FALSE)

2.2 Food 2nd day

DR2IFF = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DR2IFF_H.XPT")

write.csv(DR2IFF, file = "DR2IFF.csv", row.names = FALSE)

2.3 Total Nutrient Intakes, 1st day

DR1TOT = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DR1TOT_H.XPT")

write.csv(DR1TOT, file = "DR1TOT.csv", row.names = FALSE)

2.4 Total Nutrient Intakes, 2nd day

DR2TOT = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DR2TOT_H.XPT")

write.csv(DR2TOT, file = "DR2TOT.csv", row.names = FALSE)

2.5 Dietary Interview Technical Support File - Food Codes

DRXFCD = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DRXFCD_H.XPT")

write.csv(DRXFCD, file = "DRXFCD.csv", row.names = FALSE)

2.6 Dietary Supplement Database - Blend Information

DSBI = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DSBI.XPT")

write.csv(DSBI, file = "DSBI.csv", row.names = FALSE)

2.7 Dietary Supplement Database - Ingredient Information

DSII = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DSII.XPT")

write.csv(DSII, file = "DSII.csv", row.names = FALSE)

2.8 Dietary Supplement Database - Product Information

DSPI = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DSPI.XPT")

write.csv(DSPI, file = "DSPI.csv", row.names = FALSE)

2.9 Dietary Supplement Use 24-Hour - Individual Dietary Supplements, First Day

DS1IDS = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DS1IDS_H.XPT")

write.csv(DS1IDS, file = "DS1IDS.csv", row.names = FALSE)

2.10 Dietary Supplement Use 24-Hour - Individual Dietary Supplements, Second Day

DS2IDS = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DS2IDS_H.XPT")

write.csv(DS2IDS, file = "DS2IDS.csv", row.names = FALSE)

2.11 Dietary Supplement Use 24-Hour - Total Dietary Supplements, First Day

DS1TOT = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DS1TOT_H.XPT")

write.csv(DS1TOT, file = "DS1TOT.csv", row.names = FALSE)

2.12 Dietary Supplement Use 24-Hour - Total Dietary Supplements, Second Day

DS2TOT = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DS2TOT_H.XPT")

write.csv(DS2TOT, file = "DS2TOT.csv", row.names = FALSE)

2.13 Dietary Supplement Use 30-Day - Individual Dietary Supplements

DSQIDS = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DSQIDS_H.XPT")

write.csv(DSQIDS, file = "DSQIDS.csv", row.names = FALSE)

2.14 Dietary Supplement Use 30-Day - Total Dietary Supplements

DSQTOT = read.xport("C:/Users/Momo/Desktop/Machine Learning/Dietary data/DSQTOT_H.XPT")

write.csv(DSQTOT, file = "DSQTOT.csv", row.names = FALSE)