For Each Row(x=:shuffle = colshuffle());
show(x)
x = 6
Generates a pseudo-random number from a beta distribution using two shape parameters, alpha and beta. Optionally generates the lower threshold parameter, theta, and the scale parameter, sigma. The default values are theta = 0 and sigma = 1.
Returns a random number from a beta binomial distribution for n trials with probability p and correlation delta. The default value for delta is 0.
Returns random numbers from a binomial distribution with n trials and probability p of the event of interest occurring.
Returns a Chi-Square distribution with given df (degrees of freedom). The noncentrality parameter must be greater than or equal to zero, which is the default value.
Returns a random number distributed exponentially from 0 to infinity. Equivalent to the negative log of Random Uniform.
Returns a random number from an F distribution with a given dfn (degrees of freedom numerator) and dfd (degrees of freedom denominator). The noncentrality parameter must be greater than or equal to zero, which is the default value.
Returns a random number from a Fréchet distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a gamma Poisson distribution with parameters lambda and sigma. The default value for sigma is 1.
Returns a random number from an extended generalized gamma distribution with parameters mu, sigma, and lambda.
Returns random numbers from the geometric distribution with probability p that a specific event occurs at any one trial.
Returns a random number from an LEV distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a log generalized gamma distribution with parameters mu, sigma, and lambda.
Returns a random number from a logistic distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a loglogistic distribution with the location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a Lognormal-distributed random number with location parameter mu and scale sigma. The default values are mu = 0 and sigma = 1.
Generates random numbers that approximate a normal distribution with mean mu and standard deviation sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from an SEV distribution with the specified location mu and scale sigma. The default values are mu = 0 and sigma = 1.
Returns a random number from a t distribution with the specified df (degrees of freedom). The noncentrality argument may be negative or positive. The default value of noncentral is 0.
Generates a random number from a triangular distribution between 0 and 1 with the mode that you specify. The triangular distribution is typically used for populations that have a small number of data.
Generates a random number from a uniform distribution between 0 and 1. Random Uniform(x) generates a number between 0 and x. Random Uniform (min, max) generates a number between min and max. The result is an approximately even distribution.
A typical use of this function generates a column with many 1s, some 0s, some 2s, and so forth, corresponding to which rows were randomly assigned any of n randomly selected rows.
A typical use of this with an existing frequency column produces a new frequency column whose values are similar to the old frequency column (have that expected value); however, the values vary somewhat due to random selection at the rates corresponding to the old frequency column.
To ensure that the numbers in the frequency column match each time you run the script, use As Constant(). As Constant() evaluates an expression to create a constant value that does not change after it has been computed.
dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dc = dt << New Column( "column",
Formula(
As Constant(
Random Reset( 123 );
0;
) + Resample Freq()
)
);
dc << Eval Formula;