vdist_normal_plot: Visualize normal distribution

In vistributions: Visualize Probability Distributions

Description

Visualize how changes in mean and standard deviation affect the shape of the normal distribution. Compute & visualize quantiles out of given probability and probability from a given quantile.

Usage

vdist_normal_plot(mean = 0, sd = 1, print_plot = TRUE)

vdist_normal_perc(
  probs = 0.95,
  mean = 0,
  sd = 1,
  type = c("lower", "upper", "both"),
  print_plot = TRUE
)

vdist_normal_prob(
  perc = 3,
  mean = 0,
  sd = 1,
  type = c("lower", "upper", "both"),
  print_plot = TRUE
)

Arguments

mean	Mean of the normal distribution.
sd	Standard deviation of the normal distribution.
print_plot	logical; if TRUE, prints the plot else returns a plot object.
probs	Probability value.
type	Lower tail, upper tail or both.
perc	Quantile value.

See Also

Normal

Examples

# visualize normal distribution
vdist_normal_plot()
vdist_normal_plot(mean = 2, sd = 0.6)

# visualize quantiles out of given probability
vdist_normal_perc(0.95, mean = 2, sd = 1.36)
vdist_normal_perc(0.3, mean = 2, sd = 1.36, type = 'upper')
vdist_normal_perc(0.95, mean = 2, sd = 1.36, type = 'both')

# visualize probability from a given quantile
vdist_normal_prob(3.78, mean = 2, sd = 1.36)
vdist_normal_prob(3.43, mean = 2, sd = 1.36, type = 'upper')
vdist_normal_prob(c(-1.74, 1.83), type = 'both')

vistributions documentation built on May 20, 2021, 5:06 p.m.