# Creates the dataset famuss
# import data from URL
# link below no longer active, as is the case with the AF UMass
# page
# fms <- read.delim("http://www.stat-gen.org/book.e1/data/FMS_data.txt",
# header=T, sep="\t")
# data loaded from the famuss dataset that is no longer publicly available
# this version of famuss retains missing values. Cases with missing values
# should be eliminated at the analysis stage
load(here::here("data-raw/famuss/famuss.Rdata"))
fms = rename(fms,
ndrm.ch = NDRM.CH,
drm.ch = DRM.CH,
sex = Gender,
age = Age,
race = Race,
height = Pre.height,
weight = Pre.weight,
bmi = pre.BMI,
actn3.r577x = actn3_r577x
)
famuss = subset(fms,
select = c(id,
ndrm.ch,
drm.ch,
sex,
age,
race,
height,
weight,
bmi,
actn3.r577x
)
)
# when cases with missing values are removed in a later analysis the datais
# reduced to 595 rows. This is 1 or 2 cases different from the analysis reported
# in the Clark paper
usethis::use_data(famuss, overwrite = TRUE)
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