rnorm_truncated2 | R Documentation |
A simplified version of rnorm_truncated
, in which values outside the
bounds are simply reset to the low/high bounds. The shape of the resulting
distribution is no longer Gaussian, but this is obviously much faster. Unlike
in rnorm_truncated
, "low" and "high" should be scalars, not vectors
(ie static boundaries).
rnorm_truncated2(
n = 1,
mean = 0,
sd = 1,
low = NULL,
high = NULL,
roundToInteger = FALSE,
invalidArgAction = c("adjust", "abort", "ignore")[1]
)
n |
the number of values to return |
mean |
the mean of the normal distribution from which values are generated (vector of length 1 or n) |
sd |
the standard deviation of the normal distribution from which values are generated (vector of length 1 or n) |
low , high |
exclusive lower and upper bounds (both of length 1) |
roundToInteger |
boolean vector of length 1 or n. If TRUE, the corresponding value is rounded to the nearest integer. |
A vector of length n.
hist(soundgen:::rnorm_truncated2(n = 100, mean = 10, sd = 5, low = 7, high = NULL,
roundToInteger = c(TRUE, FALSE, FALSE)))
hist(soundgen:::rnorm_truncated2(n = 100, mean = c(10, 50, 100), sd = c(5, 0, 20),
roundToInteger = TRUE)) # vectorized
# in case of conflicts between mean and bounds, either sample at random
# between the boundaries...
hist(soundgen:::rnorm_truncated2(n = 100, mean = 10, sd = .1,
low = 10, high = 15, invalidArgAction = 'adjust'))
#... or ignore the boundaries
hist(soundgen:::rnorm_truncated2(n = 100, mean = 10, sd = .1,
low = 15, high = 100, invalidArgAction = 'ignore'))
soundgen:::rnorm_truncated2(n = 6, mean = c(0, 0, 0, 0, 0, 3),
sd = .05, low = 0, high = 6)
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