mcmc_plot_probs | R Documentation |
These functions implement plotting functions for bandle objects
mcmc_plot_probs(
params,
fname,
cond = 1,
n = 1,
bw = 0.05,
scale = "width",
trim = TRUE
)
params |
An instance of class |
fname |
The name of the protein to plot |
cond |
Which conditions do we want to plot. Must be |
n |
The chain from which we plot the probability distribution. Default is 1. |
bw |
The bandwidth use in probability distribution smoothing of geom_violin Default is 0.05. |
scale |
Scaling of geom_violin. Defaults to width. |
trim |
trim parameter of geom_violin. Defaults to true. |
returns a named vector of differential localisation probabilities
library(pRolocdata)
data("tan2009r1")
set.seed(1)
tansim <- sim_dynamic(object = tan2009r1,
numRep = 6L,
numDyn = 100L)
gpParams <- lapply(tansim$lopitrep, function(x)
fitGPmaternPC(x, hyppar = matrix(c(0.5, 1, 100), nrow = 1)))
d1 <- tansim$lopitrep
control1 <- d1[1:3]
treatment1 <- d1[4:6]
mcmc1 <- bandle(objectCond1 = control1,
objectCond2 = treatment1, gpParams = gpParams,
fcol = "markers", numIter = 5L, burnin = 1L, thin = 2L,
numChains = 1, BPPARAM = SerialParam(RNGseed = 1))
mcmc_plot_probs(params = mcmc1, fname = rownames(tan2009r1)[1])
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