HCR (version 0.1.1)

simuXY: Simulate the data of hidden compact representation model.

Description

Generate the X->Y pair HCR data

Usage

simuXY(sample_size = 2000, min_nx = 3, max_nx = 15, min_ny = 3,
  max_ny = 15, type = 0, distribution = "multinomial")

Arguments

sample_size

Sample size

min_nx

The minimum value of |X| (Default: 3)

max_nx

The maximum value of |X| (Default: 15)

min_ny

The minimum value of |Y| (Default: 3)

max_ny

The maximum value of |Y| (Default: 15)

type

type=0: standard version, type=1: |X|=|Y|, type=2: |Y'|=|Y|, type=3: |X|=|Y'|, type=4: |X|=|Y'|=|Y| (Default: type=0)

distribution

The distribution of the cause X. The options are "multinomial","geom","hyper","nbinom","pois". Default: multinomial

Value

return the synthetic data

Examples

# NOT RUN {
df=simuXY(sample_size=100,type=0)
length(unique(df[,1]))
length(unique(df[,2]))
length(unique(df[,3]))

df=simuXY(sample_size=100,type=1)
length(unique(df[,1]))
length(unique(df[,3]))

df=simuXY(sample_size=100,type=2)
length(unique(df[,2]))
length(unique(df[,3]))

df=simuXY(sample_size=100,type=3)
length(unique(df[,1]))
length(unique(df[,2]))

df=simuXY(sample_size=100,type=4)
length(unique(df[,1]))
length(unique(df[,2]))
length(unique(df[,3]))

# }