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dslash(x, mu = 0, sigma = 1, log = FALSE, smallno = .Machine$double.eps*1000)
pslash(q, mu = 0, sigma = 1, very.negative = -10000)
rslash(n, mu = 0, sigma = 1)
runif
.TRUE
then the logarithm of the density is returned.(q-mu)/sigma
values less than this,
the value 0 is returned because
integrate
tends to fail.
A warning is issued.
Similarly,slash
.dslash
gives the density, and
pslash
gives the distribution function,
rslash
generates random deviates.slash
, the
Function pslash
uses a for ()
loop and
integrate
, meaning it's very slow.
It may also be inaccurate for extreme values of q
,
and returns with 1 or 0 values when too extreme compared
to very.negative
.
slash
.curve(dslash, col = "blue", ylab = "f(x)", -5, 5, ylim = c(0, 0.4), las = 1,
main = "Standard slash, normal and Cauchy densities", lwd = 2)
curve(dnorm, col = "black", lty = 2, lwd = 2, add = TRUE)
curve(dcauchy, col = "orange", lty = 3, lwd = 2, add = TRUE)
legend("topleft", c("slash", "normal", "Cauchy"), lty = 1:3,
col = c("blue","black","orange"), lwd = 2)
curve(pslash, col = "blue", -5, 5, ylim = 0:1)
pslash(c(-Inf, -20000, 20000, Inf)) # Gives a warning
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