opt_setting: Bar plots of co-clustering optimization results.

In jianhaizhang/spatialHeatmap: spatialHeatmap: Visualizing Spatial Assays in Anatomical Images and Large-Scale Data Extensions

Bar plots of co-clustering optimization results.

Description

Bar plots of co-clustering optimization results.

Usage

opt_setting(df.res, nas, summary = "mean")

Arguments

df.res	A data.frame of validation results in co-clustering optimization.
nas	The target metrics, which are column names of df.res.
summary	The method to summarize ranks of nas across datasets.

Value

An object of ggplot.

Author(s)

Jianhai Zhang [e-mail]
Dr. Thomas Girke [e-mail]

Examples

set.seed(10)
dimred <- c('PCA', 'UMAP'); dims <- seq(5, 80, 15) 
graph <- c('knn', 'snn'); cluster <- c('wt', 'fg', 'le') 
df.para <- expand.grid(dataset=c('dataset1', 'dataset2'), norm='FCT', fil='fil1', dimred=dimred, dims=dims, graph=graph, cluster=cluster, stringsAsFactors = FALSE) 
df.para$auc <- round(runif(nrow(df.para), 0, 1), 2)
df.para$accuracy <- round(runif(nrow(df.para), 0, 1), 2)
df.para[1:5, ] 
opt_setting(df.para, nas=c('auc', 'accuracy'))

jianhaizhang/spatialHeatmap documentation built on Nov. 28, 2024, 4:44 p.m.