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Table Of Contents

Continuous CDF (G Dataflow)

Last Modified: August 12, 2017

Computes the continuous cumulative distribution function (CDF), the probability that a continuous random variable takes on a value less than or equal to the quantile of the random variable.

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Computes the continuous beta cumulative distribution function (CDF), the probability that a beta-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous Cauchy cumulative distribution function (CDF), the probability that a Cauchy-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous chi-squared cumulative distribution function (CDF), the probability that a chi-squared-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous non-central chi-squared cumulative distribution function (CDF), the probability that a non-central chi-squared-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous exponential cumulative distribution function (CDF), the probability that a exponential-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous extreme value cumulative distribution function (CDF), the probability that an extreme value variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous F cumulative distribution function (CDF), the probability that an F variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous gamma cumulative distribution function (CDF), the probability that a gamma-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous Laplace cumulative distribution function (CDF), the probability that a Laplace-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous logistic cumulative distribution function (CDF), the probability that a logistic-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous lognormal cumulative distribution function (CDF), the probability that a lognormal-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous normal cumulative distribution function (CDF), the probability that a normally-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous Pareto cumulative distribution function (CDF), the probability that a Pareto-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous Rayleigh cumulative distribution function (CDF), the probability that a Rayleigh-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous Student's t cumulative distribution function (CDF), the probability that a Student's t-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous triangular cumulative distribution function (CDF), the probability that a triangular-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous uniform cumulative distribution function (CDF), the probability that a uniform-distributed variate takes on a value less than or equal to the quantile of the random variable.
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Computes the continuous Weibull cumulative distribution function (CDF), the probability that a Weibull-distributed variate takes on a value less than or equal to the quantile of the random variable.

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