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Visualize normal distribution

Source: R/vdist-normal.R
vdist_normal_plot.Rd

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')