plot_qqplot: QQ-Plotter
In lucas-castillo/SampleR: Tools To Compare Human Performance To Sampling Algorithms
Description
Usage
Arguments
Value
Examples
Description
Plots a QQ plot of Empirical values against Theoretical values from a normal distribution. Can plot the chain points or the distances between successive points
Usage
1
plot_qqplot(chain, change = TRUE)
Arguments
chain
Vector of n length, where n is the number of trials or sampler iterations
change
Boolean. If false, it plots a qqplot of the given chain. If true, it creates a chain of step sizes (using change_1d)
Value
QQ plot of Theoretical vs Empirical values
Examples
1
2
3
4
target <- distr::Norm()
pd_func <- make_distr_pdf(target)
chain1 <- sampler_mcmc(pd_func, 0, sigma_prop = 1)
plot_qqplot(chain1[[1]])
lucas-castillo/SampleR documentation built on Jan. 1, 2021, 8:25 a.m.
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Description Usage Arguments Value Examples
Description
Plots a QQ plot of Empirical values against Theoretical values from a normal distribution. Can plot the chain points or the distances between successive points
Usage
1 | plot_qqplot(chain, change = TRUE)
|
Arguments
chain |
Vector of n length, where n is the number of trials or sampler iterations |
change |
Boolean. If false, it plots a qqplot of the given chain. If true, it creates a chain of step sizes (using change_1d) |
Value
QQ plot of Theoretical vs Empirical values
Examples
1 2 3 4 | target <- distr::Norm()
pd_func <- make_distr_pdf(target)
chain1 <- sampler_mcmc(pd_func, 0, sigma_prop = 1)
plot_qqplot(chain1[[1]])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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