30 lines
696 B
R
30 lines
696 B
R
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# Goal: Standard computations with well-studied distributions.
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# The normal distribution is named "norm". With this, we have:
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# Normal density
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dnorm(c(-1.96,0,1.96))
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# Cumulative normal density
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pnorm(c(-1.96,0,1.96))
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# Inverse of this
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qnorm(c(0.025,.5,.975))
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pnorm(qnorm(c(0.025,.5,.975)))
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# 1000 random numbers from the normal distribution
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summary(rnorm(1000))
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# Here's the same ideas, for the chi-squared distribution with 10 degrees
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# of freedom.
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dchisq(c(0,5,10), df=10)
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# Cumulative normal density
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pchisq(c(0,5,10), df=10)
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# Inverse of this
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qchisq(c(0.025,.5,.975), df=10)
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# 1000 random numbers from the normal distribution
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summary(rchisq(1000, df=10))
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