query: How can I generate 2 sets of variables from different distributions with a correlation between them in r?
positive_passages.docid: 102514
positive_passages.text: Generate a random variable with a defined correlation to an existing variable(s)
negative_passages.docid: 70943
negative_passages.text: Correlation between dichotomous and continuous variable
negative_passages.docid: 123622
negative_passages.text: Generate correlated random numbers from binomial distributions
negative_passages.docid: 12288
negative_passages.text: Ratio of Gamma distributed variables with different parameters
negative_passages.docid: 58163
negative_passages.text: Generating bimodal distributions
negative_passages.docid: 135919
negative_passages.text: Line plot of multiple variables in R
negative_passages.docid: 87307
negative_passages.text: Testing correlation in R
negative_passages.docid: 4702
negative_passages.text: Is it possible to have a pair of Gaussian random variables for which the joint distribution is not Gaussian?
negative_passages.docid: 81515
negative_passages.text: Method for generating correlated non-normal data
negative_passages.docid: 32323
negative_passages.text: Generate random data based on correlation matrix for multiple timesteps
negative_passages.docid: 85318
negative_passages.text: Generate two correlated ARMA(1,1) processes
negative_passages.docid: 155530
negative_passages.text: How to calculate the variance and expected value of a random variable with density function f(x) in R
negative_passages.docid: 47660
negative_passages.text: How to generate Bernoulli random variables with common correlation $\rho$?
negative_passages.docid: 135187
negative_passages.text: Significance testing of three or more correlations using Fisher's transformation
negative_passages.docid: 139695
negative_passages.text: GLM: verifying a choice of distribution and link function
negative_passages.docid: 123822
negative_passages.text: PDF and CDF of sum of random variables with different distributions
negative_passages.docid: 104847
negative_passages.text: Minimum covariance of 2 random variables given the covariance of each with a third random variable