Plot perplexity as a function of K from celda_C models

Plots perplexity as a function of the cell (K) clusters as generated by celdaGridSearch().

# S3 method for celda_C
plotGridSearchPerplexity(celda.list)

Arguments

celda.list	Object of class 'celda_list'.

Value

A ggplot plot object showing perplexity as a function of clustering parameters.

Examples

## Simulate a small dataset with 5 cell clusters and 10 feature modules
celda.sim = simulateCells(model="celda_C", K=5, G=100)
## Run various combinations of parameters with 'celdaGridSearch'
cgs = celdaGridSearch(celda.sim$counts, model="celda_C", params.test=list(K=3:5))
#> --------------------------------------------------------------------
#> Starting celdaGridSearch with celda_C
#> Number of cores: 1
#> --------------------------------------------------------------------
#> Error in {    current.run = c(run.params[i, ])    chain.params = list()    for (j in names(params.test)) {        chain.params[[j]] = current.run[[j]]    }    chain.params$counts = counts    chain.params$seed = all.seeds[ifelse(i%%nchains == 0, nchains,         i%%nchains)]    chain.params$max.iter = max.iter    chain.params$nchain = 1    chain.params$count.checksum = count.checksum    chain.params$verbose = verbose    chain.params$logfile = paste0(logfile.prefix, "_", paste(paste(colnames(run.params),         run.params[i, ], sep = "-"), collapse = "_"), "_Seed-",         chain.params$seed, "_log.txt")    res = do.call(model, c(chain.params, params.fixed))    return(list(res))}: task 1 failed - "unused argument (beta)"
cgs = calculatePerplexityWithResampling(celda.sim$counts, cgs)
#> Error in isTRUE(class(celda.list)[1] == "celda_list"): object 'cgs' not found
plotGridSearchPerplexity(cgs)
#> Error in plotGridSearchPerplexity(cgs): object 'cgs' not found