PimaIndiansDiabetes_wide {spinifex}

Pima Indians Diabetes Dataset, wide

Description

The data set PimaIndiansDiabetes2 contains a corrected version of the original data set. While the UCI repository index claims that there are no missing values, closer inspection of the data shows several physical impossibilities, e.g., blood pressure or body mass index of 0. In PimaIndiansDiabetes2, all zero values of glucose, pressure, triceps, insulin and mass have been set to NA, see also Wahba et al (1995) and Ripley (1996).

Usage

PimaIndiansDiabetes_wide

Format

A data frame with 392 observations of 8 numeric variables, and target factor diabetes.

• pregnant, Number of times pregnant

• glucose, Plasma glucose concentration (glucose tolerance test)

• pressure, Diastolic blood pressure (mm Hg)

• triceps, Triceps skin fold thickness (mm)

• insulin, 2-Hour serum insulin (mu U/ml)

• mass, Body mass index (weight in kg/(height in m, squared))

• pedigree, Diabetes pedigree function

• age, Age (years)

• diabetes, Class variable (test for diabetes), either "pos" or "neg"

Details

This is a cleaned subset of mlbench's PimaIndiansDiabetes2. See help(PimaIndiansDiabetes2, package = "mlbench").

Replicating this dataset:

require("mlbench")
data(PimaIndiansDiabetes2)

d <- PimaIndiansDiabetes2
d <- d[complete.cases(d), ] ## Remove ~350 row-wise incomplete rows
PimaIndiansDiabetes_wide <- d
## save(PimaIndiansDiabetes_wide, file = "./data/PimaIndiansDiabetes_wide.rda")

Examples

library(spinifex)
str(PimaIndiansDiabetes_wide)
dat  <- scale_sd(PimaIndiansDiabetes_wide[, 1:8])
clas <- PimaIndiansDiabetes_wide$diabetes

bas <- basis_pca(dat)
mv  <- manip_var_of(bas)
mt  <- manual_tour(bas, mv)

ggt <- ggtour(mt, dat, angle = .2) +
  proto_default(aes_args = list(color = clas, shape = clas))

animate_plotly(ggt)