chainsSummary {basicMCMCplots} | R Documentation |
Plots median and 95
chainsSummary(samplesList, var = NULL, nrows = NULL, scale = FALSE, width = 7, height = NULL, legend = !is.null(names(samplesList)), legend.location = "topright", jitter = 1, buffer.right = 0, buffer.left = 0, cex = 1, file = NULL)
samplesList |
List of arrays of MCMC samples from different chains |
var |
Parameter names to plot |
nrows |
Number of rows in the resulting plot |
scale |
Logical, whether to normalize each posterior chain |
width |
Width of figure |
height |
Height of figure |
legend |
Logical, whether to include a legend of chain names |
legend.location |
Legend location |
jitter |
Scale factor for spreading out lines from each chain |
buffer.right |
Additional buffer on left side of plot |
buffer.left |
Additional buffer on right side of plot |
cex |
Expansion coefficient for text |
file |
Filename for saving figure to a file |
samples1 <- cbind(rnorm(1000, 1), rgamma(1000, 1), rpois(1000, 1)) colnames(samples1) <- c('alpha', 'beta', 'gamma') samples2 <- cbind(rnorm(1000, 2), rgamma(1000, 2), rpois(1000, 2)) colnames(samples2) <- c('alpha', 'beta', 'gamma') samplesList <- list(chain1 = samples1, chain2 = samples2) chainsSummary(samplesList, nrow = 1, jitter = .3, buffer.left = .5, buffer.right = .5)