I am trying to generate a random variable fron uniform distribution that also depends on random variable.
Ideally, I want z2
to be a random variable as well.
For example,
set.seed(123)
#generate first random variable z1
z1 <- runif(10,0,1)
#generate secondrandom variable z2
z2 <- ifelse(z1>= 0.7, runif(1,0.6,0.9), runif(1,0.2,0.5))
df <- data.frame(z1,z2)
But if you look at z2
it contains only two levels.
z1 z2
1 0.2875775 0.3360002
2 0.7883051 0.8870500
3 0.4089769 0.3360002
4 0.8830174 0.8870500
5 0.9404673 0.8870500
6 0.0455565 0.3360002
7 0.5281055 0.3360002
8 0.8924190 0.8870500
9 0.5514350 0.3360002
10 0.4566147 0.3360002
We can generate 1000 number and summarize the results.
set.seed(123)
#generate first random variable z1
z1 <- runif(1000,0,1)
#generate secondrandom variable z2
z2 <- ifelse(z1>= 0.7, runif(1,0.6,0.9), runif(1,0.2,0.5))
table(df$z2)
0.352099318057299 0.655542095610872
707 293
Aucun commentaire:
Enregistrer un commentaire