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# Computing Values For The CDF in R

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-  To compute CDF values for distributions in R <focus>remember 'p' for probability function</focus>

    + For $\;T \sim Weibull(\beta,\theta)$<br>$F(t)=$ `pweibull(q = quantile, shape = shape param, scale = scale param)`

    + For $\;T \sim Exponential(\lambda)$<br>$F(t)=$ `pexp(q = quantile, rate = rate parameter)`

    + For $\;T \sim Normal(\mu,\sigma)$<br>$F(t)=$ `pnorm(q = quantile, mean = mean, sd = standard deviation)`

    + For $\;T \sim Lognormal(\mu,\sigma)$<br>$F(t)=$ `plnorm(q = quantile, meanlog = log(mean), sdlog = log(stdev))`

    + For $T \sim Gamma(\kappa,\beta)$<br>$F(t)=$ `pgamma(q = quantile, shape = shape param, scale = scale param)`
