View source: R/report_auxiliary.R
plot_lognormalvar | R Documentation |
Plots the probability distribution function of a lognormal variable from the mean and standard deviation in either transformed (normal) or untransformed space.
plot_lognormalvar(m, sd, label = NULL, logtransform = FALSE, color = "black")
m |
A vector of means of the distribution. |
sd |
A vector of standard deviations of the distribution. |
label |
Name of the variable to be used as x-axis label. |
logtransform |
Indicates whether the mean and standard deviation are in lognormal (TRUE) or normal (FALSE) space. |
color |
A vector of colors. |
A plot of the probability distribution function. Vertical dotted line indicates mean of distribution. This function can plot multiple curves when multiple means and standard deviations are provided.
Q. Huynh
plot_betavar()
plot_steepness()
mu <- 0.5
stddev <- 0.1
plot_lognormalvar(mu, stddev) # mean of plot should be 0.5
#logtransformed parameters
mu <- 0
stddev <- 0.1
plot_lognormalvar(mu, stddev, logtransform = TRUE) # mean of plot should be 1
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