NHANES Data : National Health and Nutrition Examination Survey
This is a somewhat large interesting dataset, a data frame of 15 variables (columns) on 9575 persons (rows).
data(NHANES)
This data frame contains the following columns:
binary factor with levels No and Yes.
binary factor with levels No and Yes.
numeric vector giving age of the person in years.
a factor with levels Current, Past,
Nonsmoker, and Unknown.
numeric vector of \{0,1\} codes giving the education level.
numeric vector of \{0,1\} codes giving the person's race.
numeric vector giving the weight in kilograms
numeric vector giving Body Mass Index, i.e.,
Weight/Height^2 where Height is in meters, and missings
(61% !) are coded as 0 originally.
numeric giving Dietary iron.
numeric giving albumin level in g/l.
numeric giving Serum iron in ug/l.
numeric giving Total Iron Binding Capacity in ug/l.
numeric giving Transferin Saturation which is just
100*serum.iron/TIBC.
numeric giving Hemoglobin level.
a factor with levels F (female) and M (male).
data(NHANES) summary(NHANES) ## Missing Data overview : nNA <- sapply(NHANES, function(x)sum(is.na(x))) cbind(nNA[nNA > 0]) # Which are just these 6 : ## Not run: Diet.Iron 141 Albumin 252 Serum.Iron 1008 TIBC 853 Transferin 1019 Hemoglobin 759 ## End(Not run)
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