vdist_normal_plot {vistributions} | R Documentation |
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
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 |
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')
[Package vistributions version 0.1.2 Index]