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Plot frequency polygons for colData and rowData columns

Source: R/plot-non-spatial.R
plotColDataFreqpoly.Rd

This function is recommended instead of plotColDataHistogram when coloring by multiple categories and log transforming the y axis, which causes problems in stacked histograms.

Usage

plotColDataFreqpoly(
  sce,
  feature,
  color_by = NULL,
  subset = NULL,
  bins = 100,
  binwidth = NULL,
  linewidth = 1.2,
  scales = "free",
  ncol = 1,
  position = "identity"
)

plotRowDataFreqpoly(
  sce,
  feature,
  color_by = NULL,
  subset = NULL,
  bins = 100,
  binwidth = NULL,
  linewidth = 1.2,
  scales = "free",
  ncol = 1,
  position = "identity"
)

Arguments

sce

A SingleCellExperiment object.

feature

Names of columns in colData or rowData to plot. When multiple features are specified, they will be plotted in separate facets.

color_by

Name of a categorical column in colData or rowData to color the polygons.

subset

Name of a logical column to only plot a subset of the data.

bins

Number of bins. Overridden by binwidth. Defaults to 30.

binwidth

The width of the bins. Can be specified as a numeric value or as a function that calculates width from unscaled x. Here, "unscaled x" refers to the original x values in the data, before application of any scale transformation. When specifying a function along with a grouping structure, the function will be called once per group. The default is to use the number of bins in bins, covering the range of the data. You should always override this value, exploring multiple widths to find the best to illustrate the stories in your data.

The bin width of a date variable is the number of days in each time; the bin width of a time variable is the number of seconds.

linewidth

Line width of the polygons, defaults to a thicker 1.2.

scales

Should scales be fixed ("fixed", the default), free ("free"), or free in one dimension ("free_x", "free_y")?

ncol

Number of columns in the facetting.

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

See also

plotColDataHistogram

Examples

library(SFEData)
sfe <- McKellarMuscleData()
#> see ?SFEData and browseVignettes('SFEData') for documentation
#> loading from cache
plotColDataFreqpoly(sfe, c("nCounts", "nGenes"), color_by = "in_tissue",
                    bins = 50)

plotColDataFreqpoly(sfe, "nCounts", subset = "in_tissue")

sfe2 <- sfe[, sfe$in_tissue]
plotColDataFreqpoly(sfe2, c("nCounts", "nGenes"), bins = 50)