Sample to sample correlation

Plot sample correlation between barcode sets / samples

Plot sample correlation between barcode sets / samples

Usage

plotBarcodeCorrelation(
  counts,
  method = "pearson",
  upper = T,
  clustered = T,
  name = "Sample Correlation"
)

plotBarcodeCorrelation(
  counts,
  method = "pearson",
  upper = T,
  clustered = T,
  name = "Sample Correlation"
)

Arguments

counts

matrix/dataframe containing raw or normalised counts

method

correlation metric to use. Refer to stats::cor for available options

upper

Logical. plot only the upper half of the matrix

clustered

Logical. cluster rows and columns of matrix

name

title of plot

dgeObject

DGEList object with barcode counts.

title

Title of plot (string). Default = `Sample Correlation - method`.

Value

Returns a heatmap of sample distances using desired clustering

Returns a heatmap of sample distances using desired clustering

Examples

data(test.dge)
plotBarcodeCorrelation(test.dge)
#> Error in stats::cor(counts, method = method): supply both 'x' and 'y' or a matrix-like 'x'
test.mat <- matrix(rnorm(10*10,mean=0,sd=2), 10, 10)
plotBarcodeCorrelation(counts = test.mat, method = "pearson")