t | R Documentation |
Density, distribution function, quantile function and random generation
for the t distribution with df
degrees of freedom,
allowing non-zero location, mu
,
and non-unit scale, sigma
dt_nonstandard(x, df = 1, mu = 0, sigma = 1, log = FALSE)
rt_nonstandard(n, df = 1, mu = 0, sigma = 1)
pt_nonstandard(q, df = 1, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
qt_nonstandard(p, df = 1, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
x |
vector of values. |
df |
vector of degrees of freedom values. |
mu |
vector of location values. |
sigma |
vector of scale values. |
log |
logical; if TRUE, probability density is returned on the log scale. |
n |
number of observations. |
q |
vector of quantiles. |
lower.tail |
logical; if TRUE (default) probabilities are |
log.p |
logical; if TRUE, probabilities p are given by user as log(p). |
p |
vector of probabilities. |
See Gelman et al., Appendix A or the BUGS manual for mathematical details.
dt_nonstandard
gives the density, pt_nonstandard
gives the distribution
function, qt_nonstandard
gives the quantile function, and rt_nonstandard
generates random deviates.
Christopher Paciorek
Gelman, A., Carlin, J.B., Stern, H.S., and Rubin, D.B. (2004) Bayesian Data Analysis, 2nd ed. Chapman and Hall/CRC.
Distributions for other standard distributions
x <- rt_nonstandard(50, df = 1, mu = 5, sigma = 1)
dt_nonstandard(x, 3, 5, 1)
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