plotZscore: Plots of z scores

In HVT: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis

Plots of z scores

Description

This is the main function to plot the z scores against cell ids.

Usage

plotZscore(
  data,
  cell_range = NULL,
  segment_size = 2,
  reference_lines = c(-1.65, 1.65)
)

Arguments

data	Data frame. A data frame of cell id and features.
cell_range	Vector. A numeric vector of cell id range for which the plot should be displayed. Default is NULL, which plots all the cells.
segment_size	Integer. A numeric value to indicate the size of the bars in the plot. Default is 2.
reference_lines	Vector. A numeric vector of confidence interval values for the reference lines in the plot. Default is c(-1.65, 1.65).

Value

A grid of plots of z score against cell id of teh given features.

Author(s)

Vishwavani <[e-mail]>

Examples

data("EuStockMarkets")
dataset <- data.frame(t = as.numeric(time(EuStockMarkets)),
                     DAX = EuStockMarkets[, "DAX"],
                     SMI = EuStockMarkets[, "SMI"],
                     CAC = EuStockMarkets[, "CAC"],
                     FTSE = EuStockMarkets[, "FTSE"])
rownames(EuStockMarkets) <- dataset$t
hvt.results<- trainHVT(dataset[-1],n_cells = 60, depth = 1, quant.err = 0.1,
                      distance_metric = "L1_Norm", error_metric = "max",
                      normalize = TRUE,quant_method = "kmeans")
col_names <- c("Cell.ID","DAX","SMI","CAC","FTSE")
data <- dplyr::arrange(dplyr::select(hvt.results[[3]][["summary"]],col_names),Cell.ID)
data <- round(data, 2)
plotZscore(data)

HVT documentation built on April 3, 2025, 8:45 p.m.