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.

vdist_normal_plot(mean = 0, sd = 1)

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

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

Arguments

mean

Mean of the normal distribution.

sd

Standard deviation of the normal distribution.

probs

Probability value.

type

Lower tail, upper tail or both.

perc

Quantile value.

See also

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')