View source: R/random-tidy-normal.R
tidy_normal | R Documentation |
This function will generate n
random points from a Gaussian
distribution with a user provided, .mean
, .sd
- standard deviation and number of
random simulations to be produced. The function returns a tibble with the
simulation number column the x column which corresponds to the n randomly
generated points, the dnorm
, pnorm
and qnorm
data points as well.
The data is returned un-grouped.
The columns that are output are:
sim_number
The current simulation number.
x
The current value of n
for the current simulation.
y
The randomly generated data point.
dx
The x
value from the stats::density()
function.
dy
The y
value from the stats::density()
function.
p
The values from the resulting p_ function of the distribution family.
q
The values from the resulting q_ function of the distribution family.
tidy_normal(.n = 50, .mean = 0, .sd = 1, .num_sims = 1, .return_tibble = TRUE)
.n |
The number of randomly generated points you want. |
.mean |
The mean of the randomly generated data. |
.sd |
The standard deviation of the randomly generated data. |
.num_sims |
The number of randomly generated simulations you want. |
.return_tibble |
A logical value indicating whether to return the result as a tibble. Default is TRUE. |
This function uses the underlying stats::rnorm()
, stats::pnorm()
,
and stats::qnorm()
functions to generate data from the given parameters. For
more information please see stats::rnorm()
A tibble of randomly generated data.
Steven P. Sanderson II, MPH
Other Continuous Distribution:
tidy_beta()
,
tidy_burr()
,
tidy_cauchy()
,
tidy_chisquare()
,
tidy_exponential()
,
tidy_f()
,
tidy_gamma()
,
tidy_generalized_beta()
,
tidy_generalized_pareto()
,
tidy_geometric()
,
tidy_inverse_burr()
,
tidy_inverse_exponential()
,
tidy_inverse_gamma()
,
tidy_inverse_normal()
,
tidy_inverse_pareto()
,
tidy_inverse_weibull()
,
tidy_logistic()
,
tidy_lognormal()
,
tidy_paralogistic()
,
tidy_pareto()
,
tidy_pareto1()
,
tidy_t()
,
tidy_triangular()
,
tidy_uniform()
,
tidy_weibull()
,
tidy_zero_truncated_geometric()
Other Gaussian:
tidy_inverse_normal()
,
util_normal_param_estimate()
,
util_normal_stats_tbl()
tidy_normal()
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