df_netKmax2: An example of a row-dependent dataset with known network of at most 2 friends.
Description
Simulated dataset containing measured i.i.d. baseline covariate (W1
), dependent binary exposure (A
)
and binary binary outcome (Y
), along with a known network of friends encoded by strings on space separated
friend IDs in Net_str
.
The 1,000 baseline covariates W1
were sampled as i.i.d.,
while the exposure value of A
for each observation i
was sampled
conditionally on the value of i
's baseline covariate W1[i]
,
as well as the baseline covariate values of i
's friends in Net_str
.
Similarly, the binary outcome Y
for each observation was generated conditionally on i
's
exposure and baseline covariates values in (W1[i]
,A[i]
),
as well as the values of exposures and baseline covariates of i
's friends in Net_str
.
Individual variables are described below.
Format
A data frame with 1,000 dependent observations (rows) and 6 variables:
- IDs
- unique observation identifier
- Y
- binary outcome that depends on unit's baseline covariate value and exposure in
W1
, A
, as well as the
baseline covariate values and exposures W1
, A
of observations in the friend network Net_str
- nFriends
- number of friends for each observation (row), range 0-2
- W1
- binary baseline covariate (independent)
- A
- binary exposure status that depends on unit's baseline covariate value in
W1
, as well as the
baseline covariate values W1
of observations in the friend network Net_str
- Net_str
- each observation is a string of space separated friend IDs (this can be either observation IDs or
just space separated friend row numbers)