descriptr (version 0.1.0)

norm_plot: Visualize Normal Distribution

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

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

a probability value

type

lower tail, upper tail or both

perc

a quantile value

Value

percentile for the probs based on mean, sd and type or probability value for perc based on mean, sd and type

See Also

Normal

Examples

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

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

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