getBiCop_exact: Simulate bivariate normally distributed data with specified...
In Thie1e/subsetcor: Test differences of correlations in subsets and run related simulation studies

The correlation between x and y will be exactly rho. If only fraction is given but not rho_sub, rho_sub will be set to rho.

1 2	getBiCop_exact(N, rho, rho_sub = NA, mu1 = 0, sd1 = 1, fraction = NA, distribution = "norm_norm")

`N`	Sample size
`rho`	True correlation coefficient in the sample if rho_sub is not given, otherwise rho is the correlation in the rest of the sample that does not belong to the subset
`rho_sub`	Correlation in the subset
`mu1`	Mean of variable x (on log scale if type = "log_norm")
`sd1`	Standard deviation of variable x (on log scale if type = "log_norm")
`fraction`	Fraction of the returned data.frame that belongs to the subset. The subset consists of the first round(N * fraction) rows
`type`	The distributions of the two variables (columns). If "norm_norm" both are normally distributed, if "log_log" both are lognormally distributed, if type = "log_norm" x will be lognormally distributed and y standard normal.

Code from http://stats.stackexchange.com/questions/15011/generate-a-random-variable-with-a-defined-correlation-to-an-existing-variable

Thie1e/subsetcor documentation built on May 9, 2019, 4:41 p.m.

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