powered by
Simulates independent variables.
make_x_bivariate(n = 5, mu = 1, cor = 0.25, var = c(1, 1))make_x_uniform(n = 5, var = 1)make_x_normal(n = 5, mu = 0, var = 1)make_x( n = 5, mu = 0, var = 1, cor = 0, method = c("uniform", "normal", "bivnormal") )
make_x_uniform(n = 5, var = 1)
make_x_normal(n = 5, mu = 0, var = 1)
make_x( n = 5, mu = 0, var = 1, cor = 0, method = c("uniform", "normal", "bivnormal") )
A data.frame of the simulated independent variables.
data.frame
the number of values to simulate.
the sample average.
correlation between bivariate normal
the sample variance. The sqrt(var) is passed to rnorm() and rlnorm() for normal and laplace distributions. sqrt(var / 2) is used for laplace() .
sqrt(var)
rnorm()
rlnorm()
sqrt(var / 2)
laplace()
must be one of "uniform" (default), "normal", or "bivnormal" (bivariate normal).
"uniform"
"normal"
"bivnormal"
make_x(10, mu = c(0.5, 1.2), var = c(1, 0.5))
Run the code above in your browser using DataLab