odata {orf}

Simulated Example Dataset

Description

A simulated example dataset with ordered categorical outcome variable containing different types of covariates for illustration purposes.

Usage

odata

Format

A data frame with 1000 rows and 5 variables

Details

For the exact data generating process, see the example below.

Value

Y

ordered outcome, classes 1, 2, and 3

X1

continuous covariate, N(0,1)

X2

categorical covariate, values 1, 2, and 3

X3

binary covariate, values 0 and 1

X4

continuous covariate, N(0,10)

Examples

# generate example data

# set seed for replicability
set.seed(123)

# number of observations
n  <- 1000

# various covariates
X1 <- rnorm(n, 0, 1)    # continuous
X2 <- rbinom(n, 2, 0.5) # categorical
X3 <- rbinom(n, 1, 0.5) # dummy
X4 <- rnorm(n, 0, 10)   # noise

# bind into matrix
X <- as.matrix(cbind(X1, X2, X3, X4))

# deterministic component
deterministic <- X1 + X2 + X3
# generate continuous outcome with logistic error
Y <- deterministic + rlogis(n, 0, 1)
# thresholds for continuous outcome
cuts <- quantile(Y, c(0, 1/3, 2/3, 1))
# discretize outcome into ordered classes 1, 2, 3
Y <- as.numeric(cut(Y, breaks = cuts, include.lowest = TRUE))

# save data as a dataframe
odata <- as.data.frame(cbind(Y, X))

# end of data generating